Thursday, January 31, 2013

Modelling High-level Cognitive Processes

Modelling Highlevel
Modelling High-level Cognitive Processes
by Richard P. Cooper With Contributi, Peter G. Yule, John Fox, David W. Glasspool, Richard P. Cooper

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Cognitive Simulation

This book is a practical guide to building computational models of high-level cognitive processes and systems. High-level processes are those central cognitive processes involved in thinking, reasoning, planning, and so on. These processes appear to share representational and processing requirements, and it is for this reason that they are considered together in this text.

The book is divided into three parts. Part I considers foundational and background issues. Part II provides a series of case studies spanning a range of cognitive domains. Part III reflects upon issues raised by the case studies. Teachers of cognitive modeling may use material from Part I to structure lectures and practical sessions, with chapters in Part II forming the basis of in-depth student projects.

All models discussed in this book are developed within the COGENT environments. COGENT provides a graphical interface in which models may be sketched as "box and arrow" diagrams and is both a useful teaching tool and a productive research tool. As such, this book is designed to be of use to both students of cognitive modeling and active researchers. For students, the book provides essential background material plus an extensive set of example models, exercises and project material. Researchers of both symbolic and connectionist persuasions will find the book of interest for its approach to cognitive modeling, which emphasizes methodological issues. They will also find that the COGENT environment itself has much to offer.

  • Rank: #153256 in Books
  • Published on: 2002-05-01
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.02" h x 1.10" w x 5.98" l, 1.53 pounds
  • Binding: Hardcover
  • 432 pages

A Theory of Immediate Awareness: Self-Organization and Adaptation in Natural Intelligence

A Theory of Immediate Awareness
A Theory of Immediate Awareness: Self-Organization and Adaptation in Natural Intelligence
by Myrna Estep
5.0 out of 5 stars(1)

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Cognitive Simulation

This book presents a realist, multidisciplinary and interdisciplinary theory of immediate awareness showing it is the most primitive cognitive network underlying all our natural intelligence. Including preattentive and attention processes, as well as primitive relations of the senses, imagination and memory, immediate awareness is a kind of knowing deeply embedded and interwoven throughout our multiple kinds of natural intelligence. It permits as well as drives our knowing how, our bodily intelligence. Against the Cartesian mind-body split found in earlier and current theories, the author shows how immediate awareness permits emergent properties of mind in multilayered primitive relations of touching and moving in bodily kinesthetic intelligence. Contrary to existing theories, she argues that sensation is not cognitively "neutral", nor does it require a "representation" in order to be accessible to cognitive processes.

  • Rank: #734207 in Books
  • Published on: 2003-05-31
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x .79" w x 6.10" l, 1.46 pounds
  • Binding: Hardcover
  • 310 pages

Friday, January 18, 2013

Theoretical Foundations of Artificial General Intelligence (Atlantis Thinking Machines)

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Theoretical Foundations
Theoretical Foundations of Artificial General Intelligence (Atlantis Thinking Machines)
by Pei Wang, Ben Goertzel

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Cognitive Simulation

This book is a collection of writings by active researchers in the field of Artificial General Intelligence, on topics of central importance in the field. Each chapter focuses on one theoretical problem, proposes a novel solution, and is written in sufficiently non-technical language to be understandable by advanced undergraduates or scientists in allied fields. This book is the very first collection in the field of Artificial General Intelligence (AGI) focusing on theoretical, conceptual, and philosophical issues in the creation of thinking machines. All the authors are researchers actively developing AGI projects, thus distinguishing the book from much of the theoretical cognitive science and AI literature, which is generally quite divorced from practical AGI system building issues. And the discussions are presented in a way that makes the problems and proposed solutions understandable to a wide readership of non-specialists, providing a distinction from the journal and conference-proceedings literature. The book will benefit AGI researchers and students by giving them a solid orientation in the conceptual foundations of the field (which is not currently available anywhere); and it would benefit researchers in allied fields by giving them a high-level view of the current state of thinking in the AGI field. Furthermore, by addressing key topics in the field in a coherent way, the collection as a whole may play an important role in guiding future research in both theoretical and practical AGI, and in linking AGI research with work in allied disciplines

  • Rank: #509701 in Books
  • Published on: 2012-09-01
  • Original language: English
  • Number of items: 1
  • Dimensions: 1.48 pounds
  • Binding: Hardcover
  • 339 pages

Wednesday, January 16, 2013

Systems That Learn: An Introduction to Learning Theory (Learning, Development, and Conceptual Change)

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Systems That Learn
Systems That Learn: An Introduction to Learning Theory (Learning, Development, and Conceptual Change)
by Sanjay Jain, Daniel N. Osherson, James S. Royer, Arun Sharma
4.0 out of 5 stars(1)

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Cognitive Simulation

Formal learning theory is one of several mathematical approaches to the study of intelligent adaptation to the environment. The analysis developed in this book is based on a number theoretical approach to learning and uses the tools of recursive-function theory to understand how learners come to an accurate view of reality. This revised and expanded edition of a successful text provides a comprehensive, self-contained introduction to the concepts and techniques of the theory. Exercises throughout the text provide experience in the use of computational arguments to prove facts about learning.

  • Rank: #173270 in Books
  • Published on: 1999-02-16
  • Format: Bargain Price
  • Number of items: 1
  • Binding: Hardcover
  • 329 pages

Summarizing Information: Including CD-ROM "SimSum", Simulation of Summarizing, for Macintosh and Windows

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Summarizing Information
Summarizing Information: Including CD-ROM "SimSum", Simulation of Summarizing, for Macintosh and Windows
by Brigitte Endres-Niggemeyer
5.0 out of 5 stars(1)

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Cognitive Simulation

Summarizing is the process of reducing the large volume of information in something like a novel or a scientific paper to a short summary or abstract comprising only the most essential points. Summarizing is frequent in everyday communication, but it is also a professional skill for journalists and scientific writers. Automated summarizing functions are urgently needed by Internet users who wish to exploit the information available without being overwhelmed.
This book presents the state of the art of summarizing and surveys related research; it deals with everyday and professional summarizing as well as computerized approaches. The author focuses in detail on the cognitive processes involved and supports this with a multimedia simulation system on the accompanying CD-ROM (for Mac OS 7.5 and Windows 95).

  • Rank: #380839 in Books
  • Published on: 1998-11-13
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.53" h x 1.10" w x 6.38" l, 1.56 pounds
  • Binding: Hardcover
  • 375 pages

Tuesday, January 15, 2013

The Philosophy of Artificial Life (Oxford Readings in Philosophy)

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The Philosophy
The Philosophy of Artificial Life (Oxford Readings in Philosophy)
by Margaret A. Boden
3.0 out of 5 stars(1)

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Cognitive Simulation

This new volume in the acclaimed Oxford Readings in Philosophy series offers a selection of the most important philosophical work being done in the new and fast-growing interdisciplinary area of artificial life. Artificial life research seeks to synthesize the characteristics of life by artificial means, particularly employing computer technology. The essays here explore such fascinating themes as the nature of life, the relation between life and mind, and the limits of technology.

  • Rank: #228579 in Books
  • Published on: 1996-05-09
  • Original language: English
  • Number of items: 1
  • Dimensions: 7.99" h x .87" w x 5.31" l, 1.04 pounds
  • Binding: Paperback
  • 416 pages

Monday, January 14, 2013

Cognitive Engineering: A Distributed Approach to Machine Intelligence (Advanced Information and Knowledge Processing)

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Cognitive Engineering
Cognitive Engineering: A Distributed Approach to Machine Intelligence (Advanced Information and Knowledge Processing)
by Amit Konar

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Cognitive Simulation

This book explores the design issues of intelligent engineering systems. Beginning with the foundations of psychological modeling of the human mind, the main emphasis is given to parallel & distributed realization of intelligent models for application in reasoning, learning, planning & multi-agent co-ordination problems. Case studies on human-mood detection & control, & behavioral co-operation of mobile robots are provided. This is the 1st comprehensive text of its kind, bridging the gap between Cognitive Science & Cognitive Systems Engineering. Each chapter includes plenty of numerical examples & exercises with sufficient hints, so that readers can solve the exercises on their own. Computer simulations are included in most chapters to give a clear idea about the application of the algorithms undertaken. This book is unique in its theme & contents - written with graduates in mind, it would also be a valuable resource for researchers in the fields Cognitive Science, Computer Science & Cognitive Engineering.

  • Rank: #483919 in Books
  • Published on: 2005-08-09
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.21" h x .87" w x 6.14" l, 1.54 pounds
  • Binding: Hardcover
  • 372 pages

Mechanisms in Classical Conditioning: A Computational Approach

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Mechanisms in Classical Conditioning
Mechanisms in Classical Conditioning: A Computational Approach
by Nestor Schmajuk

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Cognitive Simulation

What mechanisms are involved in enabling us to generate predictions of what will happen in the near future? Although we use associative mechanisms as the basis to predict future events, such as using cues from our surrounding environment, timing, attentional, and configural mechanisms are also needed to improve this function. Timing mechanisms allow us to determine when those events will take place. Attentional mechanisms ensure that we keep track of cues that are present when unexpected events occur and disregard cues present when everything happens according to our expectations. Configural mechanisms make it possible to combine separate cues into one signal that predicts an event different from that predicted individually by separate cues. Written for graduates and researchers in neuroscience, computer science, biomedical engineering and psychology, the author presents neural network models that incorporate these mechanisms and shows, through computer simulations, how they explain the multiple properties of associative learning.

  • Rank: #473454 in Books
  • Published on: 2010-03-08
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.72" h x 1.06" w x 6.85" l, 2.49 pounds
  • Binding: Hardcover
  • 504 pages

Sunday, January 13, 2013

The Computational Brain (Computational Neuroscience)

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The Computational
The Computational Brain (Computational Neuroscience)
by Patricia Smith Churchland, Terrence J. Sejnowski
4.6 out of 5 stars(5)

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Cognitive Simulation

How do groups of neurons interact to enable the organism to see, decide, and move appropriately? What are the principles whereby networks of neurons represent and compute? These are the central questions probed by The Computational Brain. Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future directions of the field. The Computational Brain is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework.Computer models constrained by neurobiological data can help reveal how -networks of neurons subserve perception and behavior - bow their physical interactions can yield global results in perception and behavior, and how their physical properties are used to code information and compute solutions. The Computational Brain focuses mainly on three domains: visual perception, learning and memory, and sensorimotor integration. Examples of recent computer models in these domains are discussed in detail, highlighting strengths and weaknesses, and extracting principles applicable to other domains. Churchland and Sejnowski show how both abstract models and neurobiologically realistic models can have useful roles in computational neuroscience, and they predict the coevolution of models and experiments at many levels of organization, from the neuron to the system.The Computational Brain addresses a broad audience: neuroscientists, computer scientists, cognitive scientists, and philosophers. It is written for both the expert and novice. A basic overview of neuroscience and computational theory is provided, followed by a study of some of the most recent and sophisticated modeling work in the context of relevant neurobiological research. Technical terms are clearly explained in the text, and definitions are provided in an extensive glossary. The appendix contains a précis of neurobiological techniques.Patricia S. Churchland is Professor of Philosophy at the University of California, San Diego, Adjunct Professor at the Salk Institute, and a MacArthur Fellow. Terrence J. Sejnowski is Professor of Biology at the University of California, San Diego, Professor at the Salk Institute, where he is Director of the Computational Neurobiology Laboratory, and an Investigator of the Howard Hughes Medical Institute.

  • Rank: #400662 in Books
  • Published on: 1992-06-12
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.80" h x 1.30" w x 6.89" l, 3.00 pounds
  • Binding: Hardcover
  • 560 pages

Musical Networks: Parallel Distributed Perception and Performance

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Musical Networks
Musical Networks: Parallel Distributed Perception and Performance
by Niall Griffith, Peter M. Todd

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Cognitive Simulation

This volume presents the most up-to-date collection of neural network models of music and creativity gathered together in one place. Chapters by leaders in the field cover new connectionist models of pitch perception, tonality, musical streaming, sequential and hierarchical melodic structure, composition, harmonization, rhythmic analysis, sound generation, and creative evolution. The collection combines journal papers on connectionist modeling, cognitive science, and music perception with new papers solicited for this volume. It also contains an extensive bibliography of related work.Contributors : Shumeet Baluja, M. I. Bellgard, Michael A. Casey, Garrison W. Cottrell, Peter Desain, Robert O. Gjerdingen, Mike Greenhough, Niall Griffith, Stephen Grossberg, Henkjan Honing, Todd Jochem, Bruce F. Katz, John F. Kolen, Edward W. Large, Michael C. Mozer, Michael P. A. Page, Caroline Palmer, Jordan B. Pollack, Dean Pomerleau, Stephen W. Smoliar, Ian Taylor, Peter M. Todd, C. P. Tsang, Gregory M. Werner.

  • Rank: #2273607 in Books
  • Published on: 1999-03-05
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.92" h x 1.30" w x 7.20" l, 2.25 pounds
  • Binding: Hardcover
  • 385 pages

Saturday, January 12, 2013

Enaction, Embodiment, Evolutionary Robotics: Simulation Models for a Post-Cognitivist Science of Mind (Atlantis Thinking Machines)

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Enaction, Embodiment, Evolutionary Robotics
Enaction, Embodiment, Evolutionary Robotics: Simulation Models for a Post-Cognitivist Science of Mind (Atlantis Thinking Machines)
by Marieke Rohde

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Cognitive Simulation

The book Enaction, Embodiment, Evolutionary Robotics proposes how a particular kind of simulation model, i.e. Evolutionary Robotics simulations, can help to solve several problems in Cognitive Science. Examples discussed in the book ranges from motor control, neuroscientific theory, social contingency and time perception. It is argued that methodological minimalism can be a merit, not a shortcoming, even when studying something as complex as the human mind. The book concludes by proposing a new minimalist interdisciplinary framework for the study of perception, combining simulation modeling, experimental methods and accounts of subjective experience.

This book endorses an enactive and constructivist view on the human mind, in opposition to the traditional information-processing view. Furthermore, the book discusses and presents the enactive approach, clarifies the assets of this view and how it differs from other proposed alternatives to the computationalist paradigm in AI and Cognitive Science, crucial and missing in the ongoing embodied turn . The book also presents new experimental results on a number of topics and points out connections between them. Finally, the book proposes a novel framework for the study of perception that combines a number of methods, including computational modeling, in a previously unseen and promising way.

  • Rank: #4337004 in Books
  • Published on: 2010-03-09
  • Original language: English
  • Dimensions: 10.00" h x 6.73" w x .0" l, 1.25 pounds
  • Binding: Hardcover
  • 264 pages

The Cognition of Basic Musical Structures

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The Cognition
The Cognition of Basic Musical Structures
by David Temperley
3.5 out of 5 stars(2)

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Cognitive Simulation

In this book, David Temperley addresses a fundamental question about music cognition: how do we extract basic kinds of musical information, such as meter, phrase structure, counterpoint, pitch spelling, harmony, and key from music as we hear it? Taking a computational approach, Temperley develops models for generating these aspects of musical structure. The models he proposes are based on preference rules, which are criteria for evaluating a possible structural analysis of a piece of music. A preference rule system evaluates many possible interpretations and chooses the one that best satisfies the rules.After an introductory chapter, Temperley presents preference rule systems for generating six basic kinds of musical structure: meter, phrase structure, contrapuntal structure, harmony, and key, as well as pitch spelling (the labeling of pitch events with spellings such as A flat or G sharp). He suggests that preference rule systems not only show how musical structures are inferred, but also shed light on other aspects of music. He substantiates this claim with discussions of musical ambiguity, retrospective revision, expectation, and music outside the Western canon (rock and traditional African music). He proposes a framework for the description of musical styles based on preference rule systems and explores the relevance of preference rule systems to higher-level aspects of music, such as musical schemata, narrative and drama, and musical tension.

  • Rank: #1627037 in Books
  • Published on: 2004-08-us.html
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.02" h x .98" w x 7.01" l, 1.45 pounds
  • Binding: Paperback
  • 422 pages

Friday, January 11, 2013

Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning (Issues in Clinical and Cognitive Neuropsychology)

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Gateway to Memory
Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning (Issues in Clinical and Cognitive Neuropsychology)
by Mark A. Gluck, Catherine E. Myers
5.0 out of 5 stars(2)

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Cognitive Simulation

This book is for students and researchers who have a specific interest in learning and memory and want to understand how computational models can be integrated into experimental research on the hippocampus and learning. It emphasizes the function of brain structures as they give rise to behavior, rather than the molecular or neuronal details. It also emphasizes the process of modeling, rather than the mathematical details of the models themselves.The book is divided into two parts. The first part provides a tutorial introduction to topics in neuroscience, the psychology of learning and memory, and the theory of neural network models. The second part, the core of the book, reviews computational models of how the hippocampus cooperates with other brain structures--including the entorhinal cortex, basal forebrain, cerebellum, and primary sensory and motor cortices--to support learning and memory in both animals and humans. The book assumes no prior knowledge of computational modeling or mathematics. For those who wish to delve more deeply into the formal details of the models, there are optional "mathboxes" and appendices. The book also includes extensive references and suggestions for further readings.

  • Rank: #580867 in Books
  • Published on: 2001-08-01
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.02" h x .75" w x 7.01" l, 1.56 pounds
  • Binding: Paperback
  • 464 pages

Thursday, January 10, 2013

Fluid Concepts And Creative Analogies: Computer Models Of The Fundamental Mechanisms Of Thought

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Fluid Concepts And Creative Analogies
Fluid Concepts And Creative Analogies: Computer Models Of The Fundamental Mechanisms Of Thought
by Douglas R. Hofstadter
4.3 out of 5 stars(17)

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Cognitive Simulation

Readers of earlier works by Douglas Hofstadter will find this book a natural extension of his style and his ideas about creativity and analogy; in addition, psychologists, philosophers, and artificial-intelligence researchers will find in this elaborate web of ingenious ideas a deep and challenging new view of mind.

  • Rank: #630465 in Books
  • Published on: 1996-03-22
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.29" h x 1.18" w x 7.40" l, 1.10 pounds
  • Binding: Paperback
  • 528 pages
  • ISBN13: 9780465024759
  • Condition: New
  • Notes: BRAND NEW FROM PUBLISHER! 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!

Computers and Thought

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Computers and
Computers and Thought
by Edward A. Feigenbaum, Julian Feldman
5.0 out of 5 stars(3)

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Cognitive Simulation

Computers and Thought showcases the work of the scientists who not only defined the field of Artificial Intelligence, but who are responsible for having developed it into what it is today. Originally published in 1963, this collection includes twenty classic papers by such pioneers as A. M. Turing and Marvin Minsky who were behind the pivotal advances in artificially simulating human thought processes with computers.Among the now hard-to-find articles are reports of computer programs that play chess and checkers, prove theorems in logic and geometry, solve problems in calculus, balance assembly lines, recognize visual temporal patterns, and communicate in natural language. The reports of simulation of cognitive processes include computer models of human behavior in logic problems, deciding on common stock portfolios, and carrying out social interaction. Models of verbal learning behavior, predictive behavior in two-choice experiments, and concept formation are also included.Articles by : Paul Armer. Carol Chomsky. Geoffrey P. E. Clarkson. Edward A. Feigenbaum. Julian Feldman. H. Gelernter. Bert F. Green, Jr. John T. Gullahorn. Jeanne E. Gullahorn. J. R. Hansen. Carl I. Hovland. Earl B. Hunt. Kenneth Laughery. Robert K. Lindsay. D. W. Loveland. Marvin Minsky. Ulric Neisser. Allen Newell. A. L. Samuel. Oliver G. Selfridge. J. C. Shaw. Herbert A. Simon. James R. Slagle. Fred M. Tonge. A. M. Turing. Leonard Uhr. Charles Vossler. Alice K. Wolf.

  • Rank: #1852668 in Books
  • Published on: 1995-08-28
  • Original language: English
  • Number of items: 1
  • Dimensions: 8.82" h x 1.18" w x 5.98" l, 1.70 pounds
  • Binding: Paperback
  • 550 pages

Wednesday, January 9, 2013

Visible Thinking: Unlocking Causal Mapping for Practical Business Results

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Visible Thinking
Visible Thinking: Unlocking Causal Mapping for Practical Business Results
by John M. Bryson, Fran Ackermann, Colin Eden, Charles B. Finn
1.5 out of 5 stars(2)

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Cognitive Simulation

Causal mapping is a tool that enables you to make sense of challenging situations so that you can get more out of them. A causal map is a word and arrow diagram in which ideas and actions are causally linked with one another through the use of arrows. Typically, only specialists such as physical or social scientists and operations researchers know about causal mapping and the tool is therefore not widely known or its broad applicability understood. Until now there has been no guidance available on how to make use of the tool for more general purposes. This book lets managers understand the theory and practice of causal mapping in layman's terms for use in both individual and group settings. It shows managers how to develop and use action-oriented strategy maps and logic models in business decision making. The authors show how causal mapping can be used as a tool to make sense of challenging situations and develop effective business responses.

  • Rank: #1926472 in Books
  • Published on: 2004-08-02
  • Original language: English
  • Number of items: 1
  • Dimensions: 8.90" h x .87" w x 6.06" l, 1.19 pounds
  • Binding: Paperback
  • 396 pages

Exercises in Rethinking Innateness: A Handbook for Connectionist Simulations (Neural Network Modeling and Connectionism)

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Exercises in Rethinking Innateness
Exercises in Rethinking Innateness: A Handbook for Connectionist Simulations (Neural Network Modeling and Connectionism)
by Kim Plunkett, Jeffrey Elman
4.0 out of 5 stars(2)

New!: $52.00 (as of 01/09/2013 02:31 PST)
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Cognitive Simulation

This book is the companion volume to Rethinking Innateness: A Connectionist Perspective on Development (The MIT Press, 1996), which proposed a new theoretical framework to answer the question "What does it mean to say that a behavior is innate?" The new work provides concrete illustrations--in the form of computer simulations--of properties of connectionist models that are particularly relevant to cognitive development. This enables the reader to pursue in depth some of the practical and empirical issues raised in the first book. The authors' larger goal is to demonstrate the usefulness of neural network modeling as a research methodology.The book comes with a complete software package, including demonstration projects, for running neural network simulations on both Macintosh and Windows 95. It also contains a series of exercises in the use of the neural network simulator provided with the book. The software is also available to run on a variety of UNIX platforms.

  • Rank: #187332 in Books
  • Published on: 1997-04-25
  • Original language: English
  • Number of items: 1
  • Dimensions: 8.90" h x .79" w x 7.01" l, 1.45 pounds
  • Binding: Paperback
  • 313 pages

Tuesday, January 8, 2013

Artificial Believers: The Ascription of Belief

Buy on the merchant's on-line searching and read reviews. If you're making an attempt to seek out Artificial Believers: The Ascription of Belief with discount price. This is the simplest deals for you. Where you could find these item is by on-line shopping stores? Read the review on Artificial Believers: The Ascription of Belief Now, it's the simplest worth. So don't lose it.

Artificial Believers
Artificial Believers: The Ascription of Belief
by Afzal Ballim, Yorick Wilks

New!: $110.00 (as of 01/08/2013 12:09 PST)
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Cognitive Simulation

Modeling of individual beliefs is essential to the computer understanding of natural languages. Phenomena at all levels -- syntactic, semantic, and pragmatic -- cannot be fully analyzed in the absence of models of a hearer and of the hearer's model of other believers. The heart of this text is the presentation of an artificial intelligence (AI) program intended to simulate certain aspects of a human believer. This book provides a prolog program, Viewgen, that maintains belief structures about the world and other believers, and is able to ascribe beliefs to others without direct evidence by using a form of default reasoning. The authors contend that a plausible model such as this can -- in the best cognitive science tradition -- shed light on the long-standing philosophical problem of what belief is.

The issues presented here will be of considerable interest to an informed general reader as well as those with a background in any of the disciplines that make up what is now called cognitive science: philosophy, linguistics, psychology, neuropsychology, and also AI itself.

  • Rank: #331713 in Books
  • Published on: 1991-09-01
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.02" h x .87" w x 5.98" l, 1.28 pounds
  • Binding: Hardcover
  • 288 pages

Artificial General Intelligence (Cognitive Technologies)

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Artificial General
Artificial General Intelligence (Cognitive Technologies)
by Ben Goertzel, Cassio Pennachin
4.0 out of 5 stars(2)

New!: $119.00 (as of 01/08/2013 02:24 PST)
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Cognitive Simulation

This is the first book on current research on artificial general intelligence (AGI), work explicitly focused on engineering general intelligence – autonomous, self-reflective, self-improving, commonsensical intelligence. Each author explains a specific aspect of AGI in detail in each chapter, while also investigating the common themes in the work of diverse groups, and posing the big, open questions in this vital area. This book will be of interest to researchers and students who require a coherent treatment of AGI and the relationships between AI and related fields such as physics, philosophy, neuroscience, linguistics, psychology, biology, sociology, anthropology and engineering.

  • Rank: #1664914 in Books
  • Published on: 2007-02-02
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x 1.18" w x 6.10" l, 2.09 pounds
  • Binding: Hardcover
  • 525 pages