Computational Models of Games

Computational Models of Games

Author: Anne Condon

Publisher: MIT Press (MA)

Published: 1989

Total Pages: 160

ISBN-13:

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Computational Models of Games describes a model of two person games - called a probabilistic game automaton - that unifies other important models that have been developed to reflect the game-like properties of computational problems.


Computational Models of Motivation for Game-Playing Agents

Computational Models of Motivation for Game-Playing Agents

Author: Kathryn E. Merrick

Publisher: Springer

Published: 2016-09-22

Total Pages: 217

ISBN-13: 331933459X

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The focus of this book is on three influential cognitive motives: achievement, affiliation, and power motivation. Incentive-based theories of achievement, affiliation and power motivation are the basis for competence-seeking behaviour, relationship-building, leadership, and resource-controlling behaviour in humans. In this book we show how these motives can be modelled and embedded in artificial agents to achieve behavioural diversity. Theoretical issues are addressed for representing and embedding computational models of motivation in rule-based agents, learning agents, crowds and evolution of motivated agents. Practical issues are addressed for defining games, mini-games or in-game scenarios for virtual worlds in which computer-controlled, motivated agents can participate alongside human players. The book is structured into four parts: game playing in virtual worlds by humans and agents; comparing human and artificial motives; game scenarios for motivated agents; and evolution and the future of motivated game-playing agents. It will provide game programmers, and those with an interest in artificial intelligence, with the knowledge required to develop diverse, believable game-playing agents for virtual worlds.


Computational Models of Brain and Behavior

Computational Models of Brain and Behavior

Author: Ahmed A. Moustafa

Publisher: John Wiley & Sons

Published: 2017-09-11

Total Pages: 588

ISBN-13: 1119159075

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A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.


Computational Models of Argument

Computational Models of Argument

Author: B. Verheij

Publisher: IOS Press

Published: 2012-09-04

Total Pages: 536

ISBN-13: 1614991111

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The subject of argumentation has been studied since ancient times, but it has seen major innovations since the advent of the computer age. Software already exists which can create and evaluate arguments in high-stake situations, such as medical diagnosis and criminal investigation; formal systems can help us appreciate the role of the value judgments which underlie opposing positions; and it is even possible to enter into argumentative dialogues as if playing a computer game. This book presents the 28 full papers, 17 short papers and a number of system demonstrations, described in an extended abstract, from the 2012 biennial Computational Models of Argument (COMMA) conference, held in Vienna, Austria. Papers by the invited speakers Professor Trevor Bench-Capon, Professor Erik Krabbe and Professor Keith Stenning are also included. This year, for the first time, COMMA invited the submission of papers for an innovative applications track, and those which were accepted for presentation are included in this volume. Argumentation can be studied from many angles, including the artificial, natural and theoretical systems perspective. Presentations at the 2012 conference addressed the subject from these perspectives and many more.


Game-Theoretical Models in Biology

Game-Theoretical Models in Biology

Author: Mark Broom

Publisher: CRC Press

Published: 2013-03-27

Total Pages: 522

ISBN-13: 1439853215

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Covering the major topics of evolutionary game theory, Game-Theoretical Models in Biology presents both abstract and practical mathematical models of real biological situations. It discusses the static aspects of game theory in a mathematically rigorous way that is appealing to mathematicians. In addition, the authors explore many applications of game theory to biology, making the text useful to biologists as well. The book describes a wide range of topics in evolutionary games, including matrix games, replicator dynamics, the hawk-dove game, and the prisoner’s dilemma. It covers the evolutionarily stable strategy, a key concept in biological games, and offers in-depth details of the mathematical models. Most chapters illustrate how to use MATLAB® to solve various games. Important biological phenomena, such as the sex ratio of so many species being close to a half, the evolution of cooperative behavior, and the existence of adornments (for example, the peacock’s tail), have been explained using ideas underpinned by game theoretical modeling. Suitable for readers studying and working at the interface of mathematics and the life sciences, this book shows how evolutionary game theory is used in the modeling of these diverse biological phenomena.


Computational Models of Argument

Computational Models of Argument

Author: S. Modgil

Publisher: IOS Press

Published: 2018-09-06

Total Pages: 498

ISBN-13: 1614999066

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In its classical form, the study of argumentation focuses on human-oriented uses of argument, such as whether an argument is legitimate or flawed, engagement in debate, or the rhetorical aspects of argumentation. In recent decades, however, the study of logic and computational models of argumentation has emerged as a growing sub-area of AI. This book presents the Seventh International Conference on Computational Models of Argument (COMMA’18), held in Warsaw, Poland, from 12 to 14 September 2018. Since its inception in 2006, the conference and its related activities have developed alongside the steady growth of interest in computational argumentation worldwide, and the selection of 25 full papers and 17 short papers, out of a total of 70 submissions, and 15 demonstration abstracts included here reflect the broad multidisciplinary nature of argumentation and the increasing body of work which establishes the relevance of computational models to various disciplines and real world applications. Subjects covered include: algorithm development; innovative applications; argument mining, argumentation-based models of dialogue; abstract argument frameworks; and structured argumentation. Representing an overview of current developments in the field, this book will appeal to all those with an interest in computational models of argument.


Introduction to Computational Models with Python

Introduction to Computational Models with Python

Author: Jose M. Garrido

Publisher: CRC Press

Published: 2015-08-28

Total Pages: 492

ISBN-13: 1498712045

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Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such as the Numpy and Scipy m


Computational Models of Discourse

Computational Models of Discourse

Author: Michael Brady

Publisher: Mit Press

Published: 1983-02-01

Total Pages: 404

ISBN-13: 9780262523912

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As the contributions to this book make clear, a fundamental change is taking place inthe study of computational linguistics analogous to that which has taken place in the study ofcomputer vision over the past few years and indicative of trends that are likely to affect futurework in artificial intelligence generally.The first wave of efforts on machine translation and theformal mathematical study of parsing yielded little real insight into how natural language could beunderstood by computers or how computers could lead to an understanding of natural language. Thecurrent wave of research seeks both to include a wider and more realistic range of features found inhuman languages and to limit the dimensions of program goals. Some of the new programs embody forthe first time constraints on human parsing which Chomsky has uncovered, for example. The isolationof constraints and the representations for their expression, rather than the design of mechanismsand ideas about process organization, is central to the work reported in this volume. And if presentgoals are somewhat less ambitious, they are also more realistic and more realizable. Contents:Computational Aspects of Discourse, Robert Berwick; Recognizing Intentions from Natural LanguageUtterances, James Allen; Cooperative Responses from a Portable Natural Language Data Base QuerySystem, Jerrold Kaplan; Natural Language Generation as a Computational Problem: An Introduction,David McDonald; Focusing in the Comprehension of Definite Anaphor, Candace Sidner; So What Can WeTalk About Now? Bonnie Webber. A Preface by David Israel relates these chapters to the generalconsiderations of philosophers and psycholinguists.Michael Brady is Senior Research Scientist at theMIT Artificial Intelligence Laboratory. The book is included in the MIT Press ArtificialIntelligence Series.