Jessica Brown

Automated Multi-Camera Surveillance /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Automated Multi-Camera Surveillance Algorithms and Practice by Omar Javed, Mubarak Shah Publisher Springer Science & Business Media Published Date 2008-12-16 Page Count 110 Categories Computers / Artificial Intelligence / Computer Vision & Pattern Recognition, Computers / Software Development & Engineering / Computer Graphics, Computers / Artificial Intelligence / General, Computers / Data Science / General, Computers / Software Development & Engineering / General, Computers / Optical Data Processing, Computers / General Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0387788816 The deployment of surveillance systems has captured the interest of both the research and the industrial worlds in recent years. The aim of this effort is to increase security and safety in several application domains such as national security, home and bank safety, traffic monitoring and navigation, tourism, and military applications. The video surveillance systems currently in use share one feature: A human operator must monitor them at all times, thus limiting the number of cameras and the area under surveillance and increasing cost. A more advantageous system would have continuous active warning capabilities, able to alert security officials during or even before the happening of a crime. Existing automated surveillance systems can be classified into categories according to: The environment they are primarily designed to observe; The number of sensors that the automated surveillance system can handle; The mobility of sensor. The primary concern of this book is surveillance in an outdoor urban setting, where it is not possible for a single camera to observe the complete area of interest. Multiple cameras are required to observe such large environments. This book discusses and proposes techniques for development of an automated multi-camera surveillance system for outdoor environments, while identifying the important issues that a system needs to cope with in realistic surveillance scenarios. The goal of the research presented in this book is to build systems that can deal effectively with these realistic surveillance needs. More Information

Argumentation Mining /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Argumentation Mining by Manfred Stede, Jodi Schneider Publisher Springer Nature Published Date 2022-06-01 Page Count 175 Categories Computers / Artificial Intelligence / General, Computers / Speech & Audio Processing, Language Arts & Disciplines / Linguistics / General, Computers / Information Technology, Computers / Artificial Intelligence / Natural Language Processing Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 303102169X Argumentation mining is an application of natural language processing (NLP) that emerged a few years ago and has recently enjoyed considerable popularity, as demonstrated by a series of international workshops and by a rising number of publications at the major conferences and journals of the field. Its goals are to identify argumentation in text or dialogue; to construct representations of the constellation of claims, supporting and attacking moves (in different levels of detail); and to characterize the patterns of reasoning that appear to license the argumentation. Furthermore, recent work also addresses the difficult tasks of evaluating the persuasiveness and quality of arguments. Some of the linguistic genres that are being studied include legal text, student essays, political discourse and debate, newspaper editorials, scientific writing, and others. The book starts with a discussion of the linguistic perspective, characteristics of argumentative language, and their relationship to certain other notions such as subjectivity. Besides the connection to linguistics, argumentation has for a long time been a topic in Artificial Intelligence, where the focus is on devising adequate representations and reasoning formalisms that capture the properties of argumentative exchange. It is generally very difficult to connect the two realms of reasoning and text analysis, but we are convinced that it should be attempted in the long term, and therefore we also touch upon some fundamentals of reasoning approaches. Then the book turns to its focus, the computational side of mining argumentation in text. We first introduce a number of annotated corpora that have been used in the research. From the NLP perspective, argumentation mining shares subtasks with research fields such as subjectivity and sentiment analysis, semantic relation extraction, and discourse parsing. Therefore, many technical approaches are being borrowed from those (and other) fields. We break argumentation mining into a series of subtasks, starting with the preparatory steps of classifying text as argumentative (or not) and segmenting it into elementary units. Then, central steps are the automatic identification of claims, and finding statements that support or oppose the claim. For certain applications, it is also of interest to compute a full structure of an argumentative constellation of statements. Next, we discuss a few steps that try to 'dig deeper': to infer the underlying reasoning pattern for a textual argument, to reconstruct unstated premises (so-called 'enthymemes'), and to evaluate the quality of the argumentation. We also take a brief look at 'the other side' of mining, i.e., the generation or synthesis of argumentative text. The book finishes with a summary of the argumentation mining tasks, a sketch of potential applications, and a--necessarily subjective--outlook for the field. More Information

Programming in Prolog /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Programming in Prolog by William F. Clocksin, Christopher S. Mellish Publisher Springer Science & Business Media Published Date 2003-07-25 Page Count 299 Categories Computers / Artificial Intelligence / General, Computers / Programming / Compilers, Computers / Programming / General, Computers / Languages / General, Computers / Programming Languages / Prolog Language EN Average Rating 4 (based on 3 ratings) Maturity Rating No Mature Content Detected ISBN 3540006788 Originally published in 1981, this was the first textbook on programming in the Prolog language and is still the definitive introductory text on Prolog. Though many Prolog textbooks have been published since, this one has withstood the test of time because of its comprehensiveness, tutorial approach, and emphasis on general programming applications. Prolog has continued to attract a great deal of interest in the computer science community, and has turned out to be the basis for an important new generation of programming languages and systems for Artificial Intelligence. Since the previous edition of Programming in Prolog, the language has been standardised by the International Organization for Standardization (ISO) and this book has been updated accordingly. The authors have also introduced some new material, clarified some explanations, corrected a number of minor errors, and removed appendices about Prolog systems that are now obsolete. More Information

Data Mining: Concepts And Techniques, 2E /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Data Mining: Concepts And Techniques, 2E by Jiawei Han, Micheline Kamber Publisher Elsevier (A Divisionof Reed Elsevier India Pvt. Limited) Published Date 2010 Page Count 770 Categories Artificial intelligence Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 8131205355 No description available. More Information

Bioinformatics, Second Edition /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Bioinformatics, Second Edition The Machine Learning Approach by Pierre Baldi, Søren Brunak Publisher Bradford Published Date 2001-07-20 Page Count 452 Categories Computers / Computer Science Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 026202506X A guide to machine learning approaches and their application to the analysis of biological data.An unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biological molecules. The demands and opportunities for interpreting these data are expanding rapidly. Bioinformatics is the development and application of computer methods for management, analysis, interpretation, and prediction, as well as for the design of experiments. Machine learning approaches (e.g., neural networks, hidden Markov models, and belief networks) are ideally suited for areas where there is a lot of data but little theory, which is the situation in molecular biology. The goal in machine learning is to extract useful information from a body of data by building good probabilistic models—and to automate the process as much as possible. In this book Pierre Baldi and Søren Brunak present the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. The book is aimed both at biologists and biochemists who need to understand new data-driven algorithms and at those with a primary background in physics, mathematics, statistics, or computer science who need to know more about applications in molecular biology. This new second edition contains expanded coverage of probabilistic graphical models and of the applications of neural networks, as well as a new chapter on microarrays and gene expression. The entire text has been extensively revised. More Information

Mind Design /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Mind Design Philosophy, Psychology, Artificial Intelligence by John Haugeland Publisher Bradford Books Published Date 1981 Page Count 368 Categories Artificial intelligence Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0897060040 No description available. More Information

Being There /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Being There Putting Brain, Body, and World Together Again by Andy Clark Publisher MIT Press Published Date 1998-01 Page Count 269 Categories Philosophy / Mind & Body, Psychology / Cognitive Psychology & Cognition, Psychology / Neuropsychology, Science / General Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0262531569 Brain, body, and world are united in a complex dance of circular causation and extended computational activity. In Being There, Andy Clark weaves these several threads into a pleasing whole and goes on to address foundational questions concerning the new tools and techniques needed to make sense of the emerging sciences of the embodied mind. Clark brings together ideas and techniques from robotics, neuroscience, infant psychology, and artificial intelligence. He addresses a broad range of adaptive behaviors, from cockroach locomotion to the role of linguistic artifacts in higher-level thought. More Information

Scripts, Plans, Goals, and Understanding /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Scripts, Plans, Goals, and Understanding An Inquiry Into Human Knowledge Structures by Roger C. Schank, Robert P. Abelson Publisher L. Erlbaum Associates Published Date 1977 Page Count 248 Categories Computers / Artificial Intelligence / General, Language Arts & Disciplines / Linguistics / Psycholinguistics / General, Psychology / General, Psychology / Developmental / Child, Psychology / Cognitive Psychology & Cognition, Psychology / Statistics Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0470990333 No description available. More Information

The Essential Turing /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } The Essential Turing by Alan Mathison Turing Publisher Clarendon Press Published Date 2004-09-09 Page Count 613 Categories Biography & Autobiography / Science & Technology, Computers / Artificial Intelligence / General, History / General, History / Europe / Great Britain / General, History / Wars & Conflicts / World War II / General, Language Arts & Disciplines / Linguistics / General, Mathematics / General, Mathematics / Logic, Philosophy / General, Political Science / Intelligence & Espionage, Psychology / Cognitive Psychology & Cognition, Science / General, Science / History, Science / Philosophy & Social Aspects Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0198250800 Alan Turing, pioneer of computing and WWII codebreaker, is one of the most important and influential thinkers of the twentieth century. In this volume for the first time his key writings are made available to a broad, non-specialist readership. They make fascinating reading both in their own right and for their historic significance: contemporary computational theory, cognitive science, artificial intelligence, and artificial life all spring from this ground-breaking work, which is also rich in philosophical and logical insight. An introduction by leading Turing expert Jack Copeland provides the background and guides the reader through the selection. About Alan Turing Alan Turing FRS OBE, (1912-1954) studied mathematics at King's College, Cambridge. He was elected a Fellow of King's in March 1935, at the age of only 22. In the same year he invented the abstract computing machines - now known simply as Turing machines - on which all subsequent stored-program digital computers are modelled. During 1936-1938 Turing continued his studies, now at Princeton University. He completed a PhD in mathematical logic, analysing the notion of 'intuition' in mathematics and introducing the idea of oracular computation, now fundamental in mathematical recursion theory. An 'oracle' is an abstract device able to solve mathematical problems too difficult for the universal Turing machine. In the summer of 1938 Turing returned to his Fellowship at King's. When WWII started in 1939 he joined the wartime headquarters of the Government Code and Cypher School (GC&CS) at Bletchley Park, Buckinghamshire. Building on earlier work by Polish cryptanalysts, Turing contributed crucially to the design of electro-mechanical machines ('bombes') used to decipher Enigma, the code by means of which the German armed forces sought to protect their radio communications. Turing's work on the version of Enigma used by the German navy was vital to the battle for supremacy in the North Atlantic. He also contributed to the attack on the cyphers known as 'Fish'. Based on binary teleprinter code, Fish was used during the latter part of the war in preference to morse-based Enigma for the encryption of high-level signals, for example messages from Hitler and other members of the German High Command. It is estimated that the work of GC&CS shortened the war in Europe by at least two years. Turing received the Order of the British Empire for the part he played. In 1945, the war over, Turing was recruited to the National Physical Laboratory (NPL) in London, his brief to design and develop an electronic computer - a concrete form of the universal Turing machine. Turing's report setting out his design for the Automatic Computing Engine (ACE) was the first relatively complete specification of an electronic stored-program general-purpose digital computer. Delays beyond Turing's control resulted in NPL's losing the race to build the world's first working electronic stored-program digital computer - an honour that went to the Royal Society Computing Machine Laboratory at Manchester University, in June 1948. Discouraged by the delays at NPL, Turing took up the Deputy Directorship of the Royal Society Computing Machine Laboratory in that year. Turing was a founding father of modern cognitive science and a leading early exponent of the hypothesis that the human brain is in large part a digital computing machine, theorising that the cortex at birth is an 'unorganised machine' which through 'training' becomes organised 'into a universal machine or something like it'. He also pioneered Artificial Intelligence. Turing spent the rest of his short career at Manchester University, being appointed to a specially created Readership in the Theory of Computing in May 1953. He was elected a Fellow of the Royal Society of London in March 1951 (a high honour). In March 1952 he was prosecuted for his homosexuality, then a crime in Britain, and sentenced to a period of twelve months hormone 'therapy'. From 1951 Turing worked on what would now be called Artificial Life, using the Ferranti Mark I computer to model aspects of biological growth, in particular a chemical mechanism by which the genes of a zygote could determine the anatomical structure of the resulting animal or plant. He died in the midst of this groundbreaking work. More Information

Our Molecular Future /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Our Molecular Future How Nanotechnology, Robotics, Genetics, and Artificial Intelligence Will Transform Our World by Douglas Mulhall Publisher Prometheus Books Published Date 2002 Page Count 392 Categories Computers / Artificial Intelligence / General, Computers / Social Aspects, Science / Life Sciences / Genetics & Genomics, Science / Research & Methodology, Science / Philosophy & Social Aspects, Science / Scientific Instruments, Technology & Engineering / Nanotechnology & MEMS, Technology & Engineering / Robotics, Technology & Engineering / Social Aspects Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 1573929921 What Alvin Toffler's Future Shock was to the 20th century, Our Molecular Future will be to the 21st century. What will happen to our jobs, health care, and investments when the molecular revolution hits? How might artificial intelligence transform our lives? How can molecular technologies help us cope with climate changes, earthquakes, and other extreme natural threats? Our Molecular Future explores some intriguing possibilities that answer these questions and many others. Douglas Mulhall describes the exponential changes that are about to be wrought by the nanotechnology and robotic revolutions, which promise to reduce the scale of computing to the nanometerùa billionth of a meterùwhile increasing computing power to almost unimaginable levels. The resulting convergence of genetics, robotics, and artificial intelligence may give us hitherto undreamed-of capacities to transform our environment and ourselves. In the not-so-distant future, our world may include machines that scour our arteries to prevent heart disease, cars and clothes that change color at our whim, exotic products built in our own desktop factories, and enhancements to our personal financial security despite greatly accelerated obsolescence. But while technology is making these fantastic leaps, we may also encounter surprises that throw us into disarray: climate changes, earthquakes, or even a seemingly improbable asteroid collision. These extremes are not the nightmare scenarios of sensationalists, Mulhall stresses, nor are many of them human induced. Instead, they may be part of nature's cycleùrecurring more often than we've thought possible. The good news is that this convergence of catastrophe and technological transformation may work to our advantage. If we're smart, according to Mulhall, we can use molecular machines to protect ourselves from nature's worst extremes, and harness their potential benefits to usher in an economic renaissance. This visionary link between future technology and past disasters is a valuable guide for every one of us who wants to be prepared for the twenty-first century. More Information

Gödel, Escher, Bach /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Gödel, Escher, Bach un eterno y grácil bucle by Douglas R. Hofstadter Publisher Tusquets Published Date 2007-10 Page Count 882 Categories Art / Individual Artists / General, Biography & Autobiography / Science & Technology, Computers / Artificial Intelligence / General, Mathematics / General, Mathematics / History & Philosophy, Music / Genres & Styles / Classical, Science / Physics / General Language ES Average Rating 4.5 (based on 4 ratings) Maturity Rating No Mature Content Detected ISBN 8483830248 Puede un sistema comprenderse a sí mismo ? Si esta pregunta se refiere a la mente humana, entonces nos encontramos ante una cuestión clave del pensamiento científico. Y de la filosofía. Y del arte. Investigar este misterio es una aventura que recorre la matemática, la física, la biología, la psicología y muy especialmente, el lenguaje. Douglas R. Hofstadter, joven y ya célebre científico, nos abre la puerta del enigma con la belleza y la alegría creadora de su estilo. Sorprendentes paralelismos ocultos entre los grabados de Escher y la música de Bach nos remiten a las paradojas clásicas de los antiguos griegos y a un teorema de la lógica matemática moderna que ha estremecido el pensamiento del siglo XX : el de Kurt Gödel. Todo lenguaje, todo sistema formal, todo programa de ordenador, todo proceso de pensamiento, llegan, tarde o temprano, a la situación límite de la autorreferencia : de querer expresarse sobre sí mismos. Surge entonces la emoción del infinito, como dos espejos enfrentados y obligados a reflejarse mutua e indefinidamente. Gödel, Escher, Bach : un Eterno y Grácil Bucle, es una obra de arte escrita por un sabio. Versa sobre los misterios del pensamiento e incluye, ella misma, sus propios misterios. Por ello su traducción ha supuesto también una larga, azarosa y laboriosa aventura que el propio autor ha vivido y que relata en un prólogo especialmente escrito para esta versión española. More Information

Alan Turing: Life and Legacy of a Great Thinker /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Alan Turing: Life and Legacy of a Great Thinker by Christof Teuscher Publisher Springer Science & Business Media Published Date 2013-06-29 Page Count 542 Categories Computers / Computer Science, Computers / Information Theory, Computers / Artificial Intelligence / General, Computers / History, Computers / Information Technology, Computers / Programming / Algorithms, Computers / General Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 3662056429 Alan Turing's fundamental contributions to computing led to the development of modern computing technology, and his work continues to inspire researchers in computing science and beyond. This book is the definitive collection of commemorative essays, and the distinguished contributors have expertise in such diverse fields as artificial intelligence, natural computing, mathematics, physics, cryptology, cognitive studies, philosophy and anthropology. The volume spans the entire rich spectrum of Turing's life, research work and legacy. New light is shed on the future of computing science by visionary Ray Kurzweil. Notable contributions come from the philosopher Daniel Dennett, the Turing biographer Andrew Hodges, and the distinguished logician Martin Davis, who provides a first critical essay on an emerging and controversial field termed hypercomputation. A special feature of the book is the play by Valeria Patera which tackles the scandal surrounding the last apple, and presents as an enigma the life, death and destiny of the man who did so much to decipher the Enigma code during the Second World War. Other chapters are modern reappraisals of Turing's work on computability, and deal with the major philosophical questions raised by the Turing Test, while the book also contains essays addressing his less well-known ideas on Fibonacci phyllotaxis and connectionism. More Information

Out of Control /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Out of Control The New Biology of Machines, Social Systems and the Economic World by Kevin Kelly Publisher Addison-Wesley Published Date 1994 Page Count 521 Categories Business & Economics / Industries / General, Science / Life Sciences / Biology, Science / Life Sciences / Evolution Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0201483408 This is a book about how our manufactured world has become so complex that the only way to create yet more complex things is by using the principles of biology. This means decentralized, bottom up control, evolutionary advances and error-honoring institutions. I also get into the new laws of wealth in a network-based economy, what the Biosphere 2 project in Arizona has or has not to teach us, and whether large systems can predict or be predicted. And more: restoration biology, encryption, a-life, and the lessons of hypertext. Yes, it's a romp, in 520 pages. But the best part, my friends tell me, is the 28-page annotated bibliography. If you have suspected that technology could be better, more life-like, then this book is for you. -- Product Description. More Information

Search Methodologies /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Search Methodologies Introductory Tutorials in Optimization and Decision Support Techniques by Edmund K. Burke, Graham Kendall Publisher Springer Science & Business Media Published Date 2013-10-18 Page Count 716 Categories Business & Economics / Operations Research, Computers / Artificial Intelligence / General, Business & Economics / General Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 1461469406 The first edition of Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques was originally put together to offer a basic introduction to the various search and optimization techniques that students might need to use during their research, and this new edition continues this tradition. Search Methodologies has been expanded and brought completely up to date, including new chapters covering scatter search, GRASP, and very large neighborhood search. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world’s leading authorities in their field. The book provides useful guidelines for implementing the methods and frameworks described and offers valuable tutorials to students and researchers in the field. “As I embarked on the pleasant journey of reading through the chapters of this book, I became convinced that this is one of the best sources of introductory material on the search methodologies topic to be found. The book’s subtitle, “Introductory Tutorials in Optimization and Decision Support Techniques”, aptly describes its aim, and the editors and contributors to this volume have achieved this aim with remarkable success. The chapters in this book are exemplary in giving useful guidelines for implementing the methods and frameworks described.” Fred Glover, Leeds School of Business, University of Colorado Boulder, USA “[The book] aims to present a series of well written tutorials by the leading experts in their fields. Moreover, it does this by covering practically the whole possible range of topics in the discipline. It enables students and practitioners to study and appreciate the beauty and the power of some of the computational search techniques that are able to effectively navigate through search spaces that are sometimes inconceivably large. I am convinced that this second edition will build on the success of the first edition and that it will prove to be just as popular.” Jacek Blazewicz, Institute of Computing Science, Poznan University of Technology and Institute of Bioorganic Chemistry, Polish Academy of Sciences More Information

What Computers Can't Do /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } What Computers Can't Do A Critique of Artificial Reason by Hubert L. Dreyfus Publisher Harper & Row Published Date 1972 Page Count 259 Categories Computers / Artificial Intelligence / General, Reference / Questions & Answers Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0060110821 No description available. More Information

Regulating Artificial Intelligence /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Regulating Artificial Intelligence by Thomas Wischmeyer, Timo Rademacher Publisher Springer Published Date 2020 Page Count 388 Categories Artificial intelligence Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 3030323625 This book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that currently shape or restrict the design or use of AI, and develops policy recommendations for those areas in which regulation is most urgently needed. By gathering contributions from scholars who are experts in their respective fields of legal research, it demonstrates that AI regulation is not a specialized sub-discipline, but affects the entire legal system and thus concerns all lawyers. Machine learning-based technology, which lies at the heart of what is commonly referred to as AI, is increasingly being employed to make policy and business decisions with broad social impacts, and therefore runs the risk of causing wide-scale damage. At the same time, AI technology is becoming more and more complex and difficult to understand, making it harder to determine whether or not it is being used in accordance with the law. In light of this situation, even tech enthusiasts are calling for stricter regulation of AI. Legislators, too, are stepping in and have begun to pass AI laws, including the prohibition of automated decision-making systems in Article 22 of the General Data Protection Regulation, the New York City AI transparency bill, and the 2017 amendments to the German Cartel Act and German Administrative Procedure Act. While the belief that something needs to be done is widely shared, there is far less clarity about what exactly can or should be done, or what effective regulation might look like. The book is divided into two major parts, the first of which focuses on features common to most AI systems, and explores how they relate to the legal framework for data-driven technologies, which already exists in the form of (national and supra-national) constitutional law, EU data protection and competition law, and anti-discrimination law. In the second part, the book examines in detail a number of relevant sectors in which AI is increasingly shaping decision-making processes, ranging from the notorious social media and the legal, financial and healthcare industries, to fields like law enforcement and tax law, in which we can observe how regulation by AI is becoming a reality.-- More Information

Generative Deep Learning /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Generative Deep Learning by David Foster Publisher "O'Reilly Media, Inc." Published Date 2022-06-28 Page Count 456 Categories Computers / Artificial Intelligence / General, Computers / Business & Productivity Software / Business Intelligence, Computers / Artificial Intelligence / Computer Vision & Pattern Recognition, Computers / Data Science / General, Computers / Machine Theory, Computers / Data Science / Machine Learning Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 109813415X Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. Discover how VAEs can change facial expressions in photosTrain GANs to generate images based on your own datasetBuild diffusion models to produce new varieties of flowersTrain your own GPT for text generationLearn how large language models like ChatGPT are trainedExplore state-of-the-art architectures such as StyleGAN2 and ViT-VQGANCompose polyphonic music using Transformers and MuseGANUnderstand how generative world models can solve reinforcement learning tasksDive into multimodal models such as DALL.E 2, Imagen, and Stable DiffusionThis book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage. More Information

Possible Worlds, Artificial Intelligence, and Narrative Theory /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Possible Worlds, Artificial Intelligence, and Narrative Theory by Marie-Laure Ryan Publisher Indiana University Press Published Date 1991 Page Count 291 Categories Computers / Artificial Intelligence / General, Language Arts & Disciplines / Writing / General, Language Arts & Disciplines / Writing / Fiction Writing, Language Arts & Disciplines / Rhetoric, Literary Criticism / General, Social Science / Anthropology / Cultural & Social Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 9780253350046 In this important contribution to narrative theory, Marie-Laure Ryan applies insights from artificial intelligence and the theory of possible worlds to the study of narrative and fiction. For Ryan, the theory of possible worlds provides a more nuanced way of discussing the commonplace notion of a fictional "world," while artificial intelligence contributes to narratology and the theory of fiction directly via its researches into the congnitive processes of texts and automatic story generation. Although Ryan applies exotic theories to the study of narrative and to fiction, her book maintains a solid basis in literary theory and makes the formal models developed by AI researchers accessible to the student of literature. By combining the philosophical background of possible world theory with models inspired by AI, the book fulfills a pressing need in narratology for new paradigms and an interdisciplinary perspective. More Information

Watchers /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Watchers by Dean Ray Koontz Publisher Berkley Published Date 1988 Page Count 483 Categories Fiction / General, Fiction / Horror, Fiction / Thrillers / Suspense Language EN Average Rating 4.5 (based on 4 ratings) Maturity Rating No Mature Content Detected ISBN 0425107469 Out of a governement laboratory so sinsister and secret that its very name cannot be whispered and into the life of certain good and evil people come two escaped creatures, one murderous and one benign and both "changed, changed utterly" from the ordinary animals they once were. To the scientists who fashioned them they are the end products of experiments in genetic engineering and enhanced intelligence and they want them back. To the people who encounter them they spell either doom or a touching new kind of love. At the climax of this heart-stopping novel they will inevitably meet More Information

Design of Modern Heuristics /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Design of Modern Heuristics Principles and Application by Franz Rothlauf Publisher Springer Science & Business Media Published Date 2011-07-17 Page Count 267 Categories Computers / Artificial Intelligence / General, Mathematics / Applied, Technology & Engineering / Engineering (General), Business & Economics / Information Management, Computers / Information Technology, Mathematics / Optimization, Business & Economics / Business Mathematics Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 3540729623 Most textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search, simulated annealing, and others, but fail to teach the underlying concepts behind these different approaches. The author takes a different approach in this textbook by focusing on the users' needs and answering three fundamental questions: First, he tells us which problems modern heuristics are expected to perform well on, and which should be left to traditional optimization methods. Second, he teaches us to systematically design the "right" modern heuristic for a particular problem by providing a coherent view on design elements and working principles. Third, he shows how we can make use of problem-specific knowledge for the design of efficient and effective modern heuristics that solve not only small toy problems but also perform well on large real-world problems. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use. More Information

Blade Runner /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Blade Runner by Philip K. Dick Publisher Gollancz Published Date 2017 Page Count 193 Categories Fiction / Classics, Fiction / Science Fiction / General, Fiction / Science Fiction / Cyberpunk Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 1473222680 As the eagerly-anticipated new film Blade Runner 2049 finally comes to the screen, rediscover the world of Blade Runner . . . World War Terminus had left the Earth devastated. Through its ruins, bounty hunter Rick Deckard stalked, in search of the renegade replicants who were his prey. When he wasn't 'retiring' them with his laser weapon, he dreamed of owning a live animal - the ultimate status symbol in a world all but bereft of animal life. Then Rick got his chance: the assignment to kill six Nexus-6 targets, for a huge reward. But in Deckard's world things were never that simple, and his assignment quickly turned into a nightmare kaleidoscope of subterfuge and deceit - and the threat of death for the hunter, rather than the hunted . . . More Information

Neuro-Symbolic Artificial Intelligence: The State of the Art /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Neuro-Symbolic Artificial Intelligence: The State of the Art by P. Hitzler, M.K. Sarker Publisher IOS Press Published Date 2022-01-19 Page Count 408 Categories Computers / Artificial Intelligence / General Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 1643682458 Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two hitherto distinct approaches. ”Neuro” refers to the artificial neural networks prominent in machine learning, ”symbolic” refers to algorithmic processing on the level of meaningful symbols, prominent in knowledge representation. In the past, these two fields of AI have been largely separate, with very little crossover, but the so-called “third wave” of AI is now bringing them together. This book, Neuro-Symbolic Artificial Intelligence: The State of the Art, provides an overview of this development in AI. The two approaches differ significantly in terms of their strengths and weaknesses and, from a cognitive-science perspective, there is a question as to how a neural system can perform symbol manipulation, and how the representational differences between these two approaches can be bridged. The book presents 17 overview papers, all by authors who have made significant contributions in the past few years and starting with a historic overview first seen in 2016. With just seven months elapsed from invitation to authors to final copy, the book is as up-to-date as a published overview of this subject can be. Based on the editors’ own desire to understand the current state of the art, this book reflects the breadth and depth of the latest developments in neuro-symbolic AI, and will be of interest to students, researchers, and all those working in the field of Artificial Intelligence. More Information

Thinking Machines /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Thinking Machines The Search for Artificial Intelligence by Igor Aleksander, Piers Burnett Publisher Knopf Published Date 1987 Page Count 208 Categories Computers / Artificial Intelligence / General Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0394553586 Designed for anyone with a general interest in science; students and researchers in computer studies, artificial intelligence, mathematics; psychologists and physiologists interested in attempts to make machines mimic brain function. More Information

Intelligent Data Analysis /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Intelligent Data Analysis An Introduction by Michael R. Berthold, David J Hand Publisher Springer Published Date 2007-06-07 Page Count 515 Categories Computers / Artificial Intelligence / Computer Vision & Pattern Recognition, Mathematics / Probability & Statistics / General, Computers / System Administration / Storage & Retrieval, Computers / Artificial Intelligence / General, Computers / Mathematical & Statistical Software, Computers / Data Science / Data Analytics, Computers / Optical Data Processing, Computers / Software Development & Engineering / General, Mathematics / Discrete Mathematics Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 3540486259 This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of probability, through general notions of inference, to advanced multivariate and time series methods, as well as a detailed discussion of the increasingly important Bayesian approaches and Support Vector Machines. The following chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions into the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on Visualization and a higher-level overview of the IDA processes, which illustrates the breadth of application of the presented ideas. More Information

Liability for Crimes Involving Artificial Intelligence Systems /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Liability for Crimes Involving Artificial Intelligence Systems by Gabriel Hallevy Publisher Springer Published Date 2014-11-06 Page Count 257 Categories Law / International, Computers / Artificial Intelligence / General, Law / Science & Technology, Law / Reference, Social Science / Criminology, Law / Criminal Law / General, Law / Computer & Internet, Law / Jurisprudence Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 3319101242 The book develops a general legal theory concerning the liability for offenses involving artificial intelligence systems. The involvement of the artificial intelligence systems in these offenses may be as perpetrators, accomplices or mere instruments. The general legal theory proposed in this book is based on the current criminal law in most modern legal systems. In most modern countries, unmanned vehicles, sophisticated surgical systems, industrial computing systems, trading algorithms and other artificial intelligence systems are commonly used for both industrial and personal purposes. The question of legal liability arises when something goes wrong, e.g. the unmanned vehicle is involved in a car accident, the surgical system is involved in a surgical error or the trading algorithm is involved in fraud, etc. Who is to be held liable for these offenses: the manufacturer, the programmer, the user, or, perhaps, the artificial intelligence system itself? The concept of liability for crimes involving artificial intelligence systems has not yet been widely researched. Advanced technologies are forcing society to face new challenges, both technical and legal. The idea of liability in the specific context of artificial intelligence systems is one such challenge that should be thoroughly explored. More Information