18 books like Inferred functions of performance and learning
Artificial intelligence and literary creativity
"Computers can play superlative chess, diagnose disease, guide spacecraft, power robots that can deliver mail and (soon) clean houses, etcetera. But can computers originate anything? Can computers be genuinely creative? This is the toughest question those sanguine about Al face. This book reports on a multi-year attempt to engineer a blueprint (BRUTUS) for a computer system that can hold its own…
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Artificial intelligence
"Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one or two semester university course on AI, as well as an invaluable reference for researchers in the field or practitioners wishing to employ the power of current AI techniques in their work."--BOOK JACKET.
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What computers still can't do
When it was first published in 1972, Hubert Dreyfus's manifesto on the inherent inability of disembodied machines to mimic higher mental functions caused an uproar in the artificial intelligence community. The world has changed since then. Today it is clear that "good old-fashioned AI," based on the idea of using symbolic representations to produce general intelligence, is in decline (although…
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Superintelligence
The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but we have cleverer brains. If machine brains one day come to surpass human brains in general intelligence, then this new superintelligence could become very powerful. As the fate of…
Shares: Sciences cognitives, Cognitive Science, Intelligence artificielle, Computers
Consciousness
Consciousness', 'the last great mystery for science', remains a hot topic. How can a physical brain create our experience of the world? What creates our identity? Do we really have free will? Could consciousness itself be an illusion? Exciting new developments in brain science are continuing the debates on these issues, and the field has now expanded to include biologists, neuroscientists,…
Shares: Cognitive Psychology, Cognitive Science
The Alignment Problem
"A jaw-dropping exploration of everything that goes wrong when we build AI systems-and the movement to fix them. Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms…
Shares: Cognitive Science, Intelligence artificielle, Computers, Artificial Intelligence
Conceptual coordination
This book bridges the gap between models of human behavior that are based on cognitive task analysis and those based on neural networks. The author argues that these approaches are incomplete and not properly related to each other. His synthesis reconciles the very different conceptualizations of human memory assumed by these two approaches by assuming that 'what the brain remembers' is not a…
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Knowledge spaces
Based on the formal concept of "knowledge structures" originally proposed by Jean-Claude Falmagne and Jean-Paul Doignon, this book contains descriptions of methodological developments and experimental investigations as well as applications for various knowledge domains. The authors address three main topics: theoretical issues and extensions of Doignon & Falmagne's theory of knowledge…
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The psychology of learning and motivation
1 online resource (322 pages)
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Satisficing Games and Decision Making
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Drive
From Daniel H. Pink, the author of the groundbreaking bestseller A Whole New Mind, comes his next big idea book: a paradigm-changing examination of what truly motivates us and how to harness that knowledge to find greater satisfaction in our lives and our work.We've been conditioned to think that the best way to motivate ourselves and others is through external rewards like money—the…
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Perceptrons
In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function that can decide whether or not an input, represented by a vector of numbers, belongs to some specific class. It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of…
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Introduction to machine learning and bioinformatics
Lucidly Integrates Current ActivitiesFocusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other. Examines Connections between Machine Learning & Bio
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Advances in Cognitive Science
This book includes a collection of papers on both natural (biological) and artificial (computer) approaches to several facets of intelligent behavior from the primary viewpoint of the convergence of computer science and biology in the theory of cognitive science. .
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Advanced Computing in Industrial Mathematics
This book gathers the peer-reviewed proceedings of the 12th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics, BGSIAM’17, held in Sofia, Bulgaria, in December 2017. The general theme of BGSIAM’17 was industrial and applied mathematics, with a particular focus on: high-performance computing, numerical methods and algorithms, analysis of partial…
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Artificial intelligence for games
What is artificial intelligence? How is artificial intelligence used in game development?Game development lives in its own technical world. It has its own idioms, skills, and challenges. That’s one of the reasons games are so much fun to work on. Each game has its own rules, its own aesthetic, and its own trade-offs, and the hardware it will run on keeps changing. AI for Games is designed to help…
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Advances in Knowledge Discovery and Management
This book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC’2017 & EGC’2018. The EGC conference cycle was founded by the International French-speaking EGC society (“Extraction et Gestion des Connaissances”) in 2003, and has since become a respected fixture among the…
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Introduction to artificial intelligence
This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully…
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