The study of multi-agent systems (MAS) focuses on systems in which many intelligent agents interact with each other. These agents are considered to be autonomous entities such as software programs or robots. Their interactions can either be cooperative (for example as in an ant colony) or selfish (as in a free market economy). This book assumes only basic knowledge of algorithms and discrete maths, both of which are taught as standard in the first or second year of computer science degree programmes. A basic knowledge of artificial intelligence would useful to help understand some of the issues, but is not essential.
The book’s main aims are:
After reading the book the student should understand:
"synopsis" may belong to another edition of this title.
Michael Wooldridge is a Professor of Computer Science at the University of Liverpool, UK. He obtained his PhD in 1992 for work in the theory of multiagent systems and has, since then, been active in multiagent systems research.
"A thoroughly revised and updated book, written by one of the leading researchers in the field. This excellent book provides a wonderful introduction and a comprehensive exposition of the increasingly important field of multi-agent systems."
―Professor Nick Jennings FREng
Intelligence, Agents, Multimedia Group, Electronics and Computer Science, University of Southampton
Multiagent systems are a new paradigm for understanding and building distributed systems, where it is assumed that the computational components are autonomous: able to control their own behaviour in the furtherance of their own goals. The first edition of An Introduction to Multiagent Systems was the first contemporary textbook in the area, and became the standard undergraduate reference work for the field. This second edition has been extended with substantial new material on recent developments in the field, and has been revised and updated throughout. It provides a comprehensive, coherent, and readable introduction to the theory and practice of multiagent systems, while presenting a wealth of discussion topics and pointers into more advanced issues for those wanting to dig deeper.
Key new features include:
Designed and written specifically for computing undergraduates, the book comes with a rich repository of online teaching materials, including a complete set of lecture slides.
"A thoroughly revised and updated book, written by one of the leading researchers in the field. This excellent book provides a wonderful introduction and a comprehensive exposition of the increasingly important field of multi-agent systems."
—Professor Nick Jennings FREng
Intelligence, Agents, Multimedia Group, Electronics and Computer Science, University of Southampton
Multiagent systems are a new paradigm for understanding and building distributed systems, where it is assumed that the computational components are autonomous: able to control their own behaviour in the furtherance of their own goals. The first edition of An Introduction to Multiagent Systems was the first contemporary textbook in the area, and became the standard undergraduate reference work for the field. This second edition has been extended with substantial new material on recent developments in the field, and has been revised and updated throughout. It provides a comprehensive, coherent, and readable introduction to the theory and practice of multiagent systems, while presenting a wealth of discussion topics and pointers into more advanced issues for those wanting to dig deeper.
Key new features include:
Designed and written specifically for computing undergraduates, the book comes with a rich repository of online teaching materials, including a complete set of lecture slides.
"About this title" may belong to another edition of this title.
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Softcover. Condition: As New. This updated resource focuses on the rapidly advancing field of multi-agent systems, where intelligent agents interact with one another. Since the first edition nearly a decade ago, significant developments have emerged, prompting a comprehensive update. The new edition includes recent topics such as auctions, computational social choice, and Markov decision processes, while reducing coverage of previously critical areas that have lost prominence. This shift results in a timely and essential resource for understanding multi-agent systems. The text introduces the concept of agents and their applications, discusses key design issues for intelligent agents and multi-agent societies, and explores typical applications of agent technology. It covers various types of agents, including deductive reasoning, practical reasoning, reactive, and hybrid agents. Additionally, it reviews multi-agent decision-making, communication, cooperation, and intelligent autonomous agents. By the end of the book, readers will gain a solid understanding of how agents differ from other software paradigms and the characteristics of applications suited for agent-oriented software. This comprehensive guide is vital for anyone interested in the evolving landscape of multi-agent systems. Seller Inventory # 32f1b754-4485-47b1-ac79-9336eb26ec79
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