Multiagent Systems

Algorithmic, Game-Theoretic, and Logical Foundations
Author: Yoav Shoham,Kevin Leyton-Brown
Publisher: Cambridge University Press
ISBN: 113947524X
Category: Computers
Page: N.A
View: 5963

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Multiagent systems combine multiple autonomous entities, each having diverging interests or different information. This overview of the field offers a computer science perspective, but also draws on ideas from game theory, economics, operations research, logic, philosophy and linguistics. It will serve as a reference for researchers in each of these fields, and be used as a text for advanced undergraduate or graduate courses. The authors emphasize foundations to create a broad and rigorous treatment of their subject, with thorough presentations of distributed problem solving, game theory, multiagent communication and learning, social choice, mechanism design, auctions, cooperative game theory, and modal logics of knowledge and belief. For each topic, basic concepts are introduced, examples are given, proofs of key results are offered, and algorithmic considerations are examined. An appendix covers background material in probability theory, classical logic, Markov decision processes and mathematical programming.

Essentials of Game Theory

A Concise Multidisciplinary Introduction
Author: Kevin Leyton-Brown,Yoav Shoham
Publisher: Morgan & Claypool Publishers
ISBN: 1598295942
Category: Computers
Page: 88
View: 5859

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Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology, economics, linguistics, sociology, and computer science, among others. What has been missing is a relatively short introduction to the field covering the common basis that anyone with a professional interest in game theory is likely to require. Such a text would minimize notation, ruthlessly focus on essentials, and yet not sacrifice rigor. This Synthesis Lecture aims to fill this gap by providing a concise and accessible introduction to the field. It covers the main classes of games, their representations, and the main concepts used to analyze them.

An Introduction to MultiAgent Systems


Author: Michael Wooldridge
Publisher: John Wiley & Sons
ISBN: 0470519460
Category: Computers
Page: 461
View: 4684

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This book will introduce students to intelligent agents, explain what these agents are, how they are constructed and how they can be made to co-operate effectively with one another in large-scale systems.

Multiagent Systems


Author: Gerhard Weiss
Publisher: MIT Press
ISBN: 0262018896
Category: Computers
Page: 867
View: 9380

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This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence that is suitable as a textbook.

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence


Author: Nikos Vlassis
Publisher: Morgan & Claypool Publishers
ISBN: 1598295276
Category: Technology & Engineering
Page: 71
View: 6190

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Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.

Twenty Lectures on Algorithmic Game Theory


Author: Tim Roughgarden
Publisher: N.A
ISBN: 131662479X
Category: Business & Economics
Page: 352
View: 2574

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This accessible introduction features case studies in online advertising, spectrum auctions, kidney exchange, and network management.

Computational Aspects of Cooperative Game Theory


Author: Georgios Chalkiadakis,Edith Elkind,Michael J. Wooldridge
Publisher: Morgan & Claypool Publishers
ISBN: 1608456528
Category: Computers
Page: 150
View: 8775

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This cross-disciplinary book dives into the technical and computational aspects that make cooperative games possible. It is appropriate for professional researchers, graduate students, and advanced undergraduates hoping to pursue careers in academia and / or industry.

Lectures in Game Theory for Computer Scientists


Author: Krzysztof R. Apt,Erich Grädel
Publisher: Cambridge University Press
ISBN: 113949418X
Category: Computers
Page: N.A
View: 7615

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Games provide mathematical models for interaction. Numerous tasks in computer science can be formulated in game-theoretic terms. This fresh and intuitive way of thinking through complex issues reveals underlying algorithmic questions and clarifies the relationships between different domains. This collection of lectures, by specialists in the field, provides an excellent introduction to various aspects of game theory relevant for applications in computer science that concern program design, synthesis, verification, testing and design of multi-agent or distributed systems. Originally devised for a Spring School organised by the GAMES Networking Programme in 2009, these lectures have since been revised and expanded, and range from tutorials concerning fundamental notions and methods to more advanced presentations of current research topics. This volume is a valuable guide to current research on game-based methods in computer science for undergraduate and graduate students. It will also interest researchers working in mathematical logic, computer science and game theory.

Handbook of Computational Social Choice


Author: Felix Brandt,Vincent Conitzer,Ulle Endriss,Jérôme Lang,Ariel D. Procaccia
Publisher: Cambridge University Press
ISBN: 1316489752
Category: Computers
Page: N.A
View: 6998

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The rapidly growing field of computational social choice, at the intersection of computer science and economics, deals with the computational aspects of collective decision making. This handbook, written by thirty-six prominent members of the computational social choice community, covers the field comprehensively. Chapters devoted to each of the field's major themes offer detailed introductions. Topics include voting theory (such as the computational complexity of winner determination and manipulation in elections), fair allocation (such as algorithms for dividing divisible and indivisible goods), coalition formation (such as matching and hedonic games), and many more. Graduate students, researchers, and professionals in computer science, economics, mathematics, political science, and philosophy will benefit from this accessible and self-contained book.

Game Theory for Managing Security in Chemical Industrial Areas


Author: Laobing Zhang,Genserik Reniers
Publisher: Springer
ISBN: 3319926187
Category: Mathematics
Page: 157
View: 8154

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This book systematically studies how game theory can be used to improve security in chemical industrial areas, capturing the intelligent interactions between security managers and potential adversaries. The recent unfortunate terrorist attacks on critical infrastructures show that adversaries are intelligent and strategic. Game theoretic models have been extensively used in some domains to model these strategic adversaries. However, there is a lack of such advanced models to be employed by chemical security managers. In this book, game theoretic models for protecting chemical plants as well as clusters are proposed. Different equilibrium concepts are explored, with user-friendly explanation of how to reflect them to realistic cases. Based on efficient analysis of the properties of security issues in chemical plants/clusters, models in this book are capable to support resources allocations, cost-effectiveness analysis, cooperation incentives and alike.

Algorithmic Game Theory


Author: Noam Nisan,Tim Roughgarden,Eva Tardos,Vijay V. Vazirani
Publisher: Cambridge University Press
ISBN: 9781139466547
Category: Computers
Page: N.A
View: 8289

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In recent years game theory has had a substantial impact on computer science, especially on Internet- and e-commerce-related issues. Algorithmic Game Theory, first published in 2007, develops the central ideas and results of this exciting area in a clear and succinct manner. More than 40 of the top researchers in this field have written chapters that go from the foundations to the state of the art. Basic chapters on algorithmic methods for equilibria, mechanism design and combinatorial auctions are followed by chapters on important game theory applications such as incentives and pricing, cost sharing, information markets and cryptography and security. This definitive work will set the tone of research for the next few years and beyond. Students, researchers, and practitioners alike need to learn more about these fascinating theoretical developments and their widespread practical application.

Cooperative Control of Multi-Agent Systems

Theory and Applications
Author: Yue Wang,Eloy Garcia,David Casbeer,Fumin Zhang
Publisher: John Wiley & Sons
ISBN: 1119266211
Category: Technology & Engineering
Page: 320
View: 3332

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A comprehensive review of the state of the art in the control of multi-agent systems theory and applications The superiority of multi-agent systems over single agents for the control of unmanned air, water and ground vehicles has been clearly demonstrated in a wide range of application areas. Their large-scale spatial distribution, robustness, high scalability and low cost enable multi-agent systems to achieve tasks that could not successfully be performed by even the most sophisticated single agent systems. Cooperative Control of Multi-Agent Systems: Theory and Applications provides a wide-ranging review of the latest developments in the cooperative control of multi-agent systems theory and applications. The applications described are mainly in the areas of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). Throughout, the authors link basic theory to multi-agent cooperative control practice — illustrated within the context of highly-realistic scenarios of high-level missions — without losing site of the mathematical background needed to provide performance guarantees under general working conditions. Many of the problems and solutions considered involve combinations of both types of vehicles. Topics explored include target assignment, target tracking, consensus, stochastic game theory-based framework, event-triggered control, topology design and identification, coordination under uncertainty and coverage control. Establishes a bridge between fundamental cooperative control theory and specific problems of interest in a wide range of applications areas Includes example applications from the fields of space exploration, radiation shielding, site clearance, tracking/classification, surveillance, search-and-rescue and more Features detailed presentations of specific algorithms and application frameworks with relevant commercial and military applications Provides a comprehensive look at the latest developments in this rapidly evolving field, while offering informed speculation on future directions for collective control systems The use of multi-agent system technologies in both everyday commercial use and national defense is certain to increase tremendously in the years ahead, making this book a valuable resource for researchers, engineers, and applied mathematicians working in systems and controls, as well as advanced undergraduates and graduate students interested in those areas.

Artificial Intelligence for Games


Author: Ian Millington,John Funge
Publisher: CRC Press
ISBN: 1498785816
Category: Computers
Page: 872
View: 3353

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Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques. "Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games).

Economics and Computation

An Introduction to Algorithmic Game Theory, Computational Social Choice, and Fair Division
Author: Jörg Rothe
Publisher: Springer
ISBN: 3662479044
Category: Business & Economics
Page: 612
View: 6925

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This textbook connects three vibrant areas at the interface between economics and computer science: algorithmic game theory, computational social choice, and fair division. It thus offers an interdisciplinary treatment of collective decision making from an economic and computational perspective. Part I introduces to algorithmic game theory, focusing on both noncooperative and cooperative game theory. Part II introduces to computational social choice, focusing on both preference aggregation (voting) and judgment aggregation. Part III introduces to fair division, focusing on the division of both a single divisible resource ("cake-cutting") and multiple indivisible and unshareable resources ("multiagent resource allocation"). In all these parts, much weight is given to the algorithmic and complexity-theoretic aspects of problems arising in these areas, and the interconnections between the three parts are of central interest.

Contest Theory

Incentive Mechanisms and Ranking Methods
Author: Milan Vojnović
Publisher: Cambridge University Press
ISBN: 1107033136
Category: Business & Economics
Page: 656
View: 1072

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Using a game-theoretic framework, this unified, comprehensive treatment of contest design in economics and computer science focuses on online applications.

Neural Networks for Pattern Recognition


Author: Christopher M. Bishop
Publisher: Oxford University Press
ISBN: 0198538642
Category: Computers
Page: 482
View: 9881

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`Readers will emerge with a rigorous statistical grounding in the theory of how to construct and train neural networks in pattern recognition' New Scientist

Foundations of Constraint Satisfaction

The Classic Text
Author: Edward Tsang
Publisher: BoD – Books on Demand
ISBN: 3735723667
Category: Computers
Page: 444
View: 4298

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This seminal text of Computer Science, the most cited book on the subject, is now available for the first time in paperback. Constraint satisfaction is a decision problem that involves finite choices. It is ubiquitous. The goal is to find values for a set of variables that will satisfy a given set of constraints. It is the core of many applications in artificial intelligence, and has found its application in many areas, such as planning and scheduling. Because of its generality, most AI researchers should be able to benefit from having good knowledge of techniques in this field. Originally published in 1993, this now classic book was the first attempt to define the scope of constraint satisfaction. It covers both the theoretical and the implementation aspects of the subject. It provides a framework for studying this field, relates different research, and resolves ambiguity in a number of concepts and algorithms in the literature. This seminal text is arguably the most rigorous book in the field. All major concepts were defined in First Order Predicate Calculus. Concepts defined this way are precise and unambiguous.

Game Theory and Mechanism Design


Author: Y Narahari
Publisher: World Scientific
ISBN: 9814525065
Category: Computers
Page: 532
View: 9859

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This book offers a self-sufficient treatment of a key tool, game theory and mechanism design, to model, analyze, and solve centralized as well as decentralized design problems involving multiple autonomous agents that interact strategically in a rational and intelligent way. The contents of the book provide a sound foundation of game theory and mechanism design theory which clearly represent the “science” behind traditional as well as emerging economic applications for the society. The importance of the discipline of game theory has been recognized through numerous Nobel prizes in economic sciences being awarded to game theorists, including the 2005, 2007, and 2012 prizes. The book distills the marvelous contributions of these and other celebrated game theorists and presents it in a way that can be easily understood even by senior undergraduate students. A unique feature of the book is its detailed coverage of mechanism design which is the art of designing a game among strategic agents so that a social goal is realized in an equilibrium of the induced game. Another feature is a large number of illustrative examples that are representative of both classical and modern applications of game theory and mechanism design. The book also includes informative biographical sketches of game theory legends, and is specially customized to a general engineering audience. After a thorough reading of this book, readers would be able to apply game theory and mechanism design in a principled and mature way to solve relevant problems in computer science (esp, artificial intelligence/machine learning), computer engineering, operations research, industrial engineering and microeconomics. Contents:Introduction and OverviewNon-Cooperative Game Theory:Key Notions in Game TheoryExtensive Form GamesStrategic Form GamesDominant Strategy EquilibriaPure Strategy Nash EquilibriaMixed Strategies and Mixed Strategy Nash EquilibriumUtility TheoryMatrix GamesExistence of Nash EquilibriumComputation of Nash EquilibriaComplexity of Computing a Nash EquilibriumBayesian GamesMechanism Design:Introduction to Mechanism DesignImplementation of Social Choice Functions by MechanismsIncentive Compatibility and Revelation TheoremThe Gibbard-Satterthwaite Impossibility TheoremVickrey-Clarke-Groves (VCG) MechanismsMechanism Design Space in Quasilinear EnvironmentAuctionsOptimal Mechanisms and Myerson AuctionMechanism Design for Sponsored Search AuctionsImplementation in Ex-Post Nash EquilibriumFurther Topics in Mechanism DesignCooperative Game Theory:Correlated Strategies and Correlated EquilibriumThe Two Person Bargaining ProblemCoalitional Games with Transferable UtilityThe Core of Coalitional GamesThe Shapley ValueOther Solution Concepts in Cooperative Game TheoryStable MatchingEpilogueMathematical Preliminaries Readership: Senior undergraduate, first year master's, and first year research students, academics and industrial researchers in computer science, computer engineering, networks and communications, artificial intelligence/machine learning, operations research, industrial engineering, management science, and microeconomics. Keywords:Game Theory;Mechanism Design;Noncooperative Game Theory;Nash EquilibriumKey Features:First of its kind to include a balanced treatment of noncooperative game theory, cooperative game theory, as well as mechanism designIncorporates a large number of apt, illustrative examples to facilitate an immediate and comprehensive understanding of the concepts and ideasExamples chosen carefully from traditional and modern topics in computer science, networks, and microeconomicsIncludes biographical sketches of leading game theorists at appropriate placesReviews: “I am very pleased that Y Narahari has written this lovely text, which presents the fundamentals of game theory and mechanism design clearly and concisely. In doing so, Dr Narahari has performed a great service to students and researchers interested in the lively interface between engineering sciences and economics.” Professor Eric Maskin Harvard University Nobel Laureate in Economic Sciences, 2007 “The theory of Games and Mechanism Design find today wide applications in Economics, Engineering, and Operations Research. This is one of the few books which present a detailed account of both Non-Cooperative and Cooperative Games as well as Mechanism Design, all under one cover. Proofs of important theorems are given in a clear and succinct manner and the bibliographical and biographical references are particularly valuable. The book can serve both as a graduate text as well as a reference volume. I highly recommend it.” Sanjoy K Mitter Massachusetts Institute of Technology, Cambridge, MA, USA “This is a splendid book for engineers by an engineer. It has the ideal choice of topics and emphasis that reflects the driving themes in game theory, such as mechanism design, that have lead the revival of game theory in recent times and its multifarious applications in cybercommerce and allied areas. The lucidly written byte-sized chapters rich with examples and historical details make it an exciting read. This is the right book at the right time.” Vivek Borkar Indian Institute of Technology-Bombay, Mumbai, India “This book covers a subject which now straddles at least three subjects — Economics, Mathematics and Computer Science. It is a comprehensive presentation for a wide range of readers from the novice to experts in related areas who want to inform themselves of Game Theory and Mechanism Design. The book has a very readable from-first-principles approach to topics which commendably illuminates while not sacrificing rigor.” Ravi Kannan Microsoft Research and Indian Institute of Science, Bangalore, India “Narahari's book is a beautifully written text that handles both introductory material and advanced topics well.” Preston McAfee Google, Mountain View, CA, USA “This marvelous book on Game Theory and Mechanism Design is an essential reference for beginners and practitioners alike. The book covers the basic concepts needed to understand game theory and powerful practical implications of the theory embodied in mechanism design. Narahari excels at elucidating the essentials of game theory, while motivating the reader with a number of illustrative examples and real-world applications from engineering, economics and networks. It is fun to read and should be on the shelf of any student or practitioner interested in the practical applications of game theory.” Krishna Pattipati University of Connecticut, Storrs, CT, USA “Game Theory is the formal analysis of strategic behavior. It originated with the classic book of von Neumann and Morgenstern in the 1940's and over the last 70 years, has become a vital ingredient in both the social and engineering sciences. Professor Narahari is a leading expert in the burgeoning area of game theoretic applications to computer science. His lucid and elegant book, packed with examples and historical background, is a wonderful introduction to modern Game Theory. It clearly lays out the central concepts and results of the theory while conveying its potential for providing insights to a range of interesting practical problems. The book will be invaluable to students from diverse backgrounds such as economics, mathematics, and engineering.” Arunava Sen Indian Statistical Institute, New Delhi, India “Game Theory and Mechanism Design is impressive in its broad coverage of cooperative games, non-cooperative games and mechanism design from an engineering perspective. The book is rich in examples and exercises, and couples historical appraisals of the evolution of the field with careful mathematical proofs. It should be valuable both as a graduate text and for reference.” Chris Dance Xerox Research Centre Europe, Grenoble, France

Computational Economics

A concise introduction
Author: Oscar Afonso,Paulo B. Vasconcelos
Publisher: Routledge
ISBN: 1317508653
Category: Business & Economics
Page: 290
View: 9098

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Computational Economics: A concise introduction is a comprehensive textbook designed to help students move from the traditional and comparative static analysis of economic models, to a modern and dynamic computational study. The ability to equate an economic problem, to formulate it into a mathematical model and to solve it computationally is becoming a crucial and distinctive competence for most economists. This vital textbook is organized around static and dynamic models, covering both macro and microeconomic topics, exploring the numerical techniques required to solve those models. A key aim of the book is to enable students to develop the ability to modify the models themselves so that, using the MATLAB/Octave codes provided on the book and on the website, students can demonstrate a complete understanding of computational methods. This textbook is innovative, easy to read and highly focused, providing students of economics with the skills needed to understand the essentials of using numerical methods to solve economic problems. It also provides more technical readers with an easy way to cope with economics through modelling and simulation. Later in the book, more elaborate economic models and advanced numerical methods are introduced which will prove valuable to those in more advanced study. This book is ideal for all students of economics, mathematics, computer science and engineering taking classes on Computational or Numerical Economics.