Distributed Reason Maintenance for Multiagent Systems
Distributed Reason Maintenance for Multiagent Systems

Author: Gerhard K. Kraetzschmar

Publisher: Springer Science & Business Media

Published: 1997-10

Total Pages: 314

ISBN-13: 9783540636069

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This book provides a systematic in-depth investigation of a class of multiple-context assumption-based multiagent reasoning problems, typical, e.g., for distributed planning, scheduling, and control. First, logical and architectural foundations are provided to construct the two systems XFRMS and MXFRMS allowing the development of more complex utilities. Then the technology developed for XFRMS in the single-agent case is further enhanced to the multiagent situation. The multiagent RMS MXFRMS provides, along with XFRMS, a solid foundation for building more complex utilities, such as plan or schedule maintenance systems. In the final chapter, the software engineer confronted with the task of building a practicable multiagent system can find a discussion of potential uses and future extensions of the systems provided.

Multi-agent Systems
Multi-agent Systems

Author: Jacques Ferber

Publisher: Addison-Wesley Professional

Published: 1999

Total Pages: 536

ISBN-13:

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In this book, Jacques Ferber has brought together all the recent developments in the field of multi-agent systems - an area that has seen increasing interest and major developments over the last few years. The author draws on work carried out in various disciplines, including information technology, sociology and cognitive psychology to provide a coherent and instructive picture of the current state-of-the-art. The book introduces and defines the fundamental concepts that need to be understood, clearly describes the work that has been done, and invites readers to reflect upon the possibilities of the future.

Multiagent Systems
Multiagent Systems

Author: Gerhard Weiss

Publisher: MIT Press

Published: 2013-03-08

Total Pages: 917

ISBN-13: 0262018896

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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
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

Author: Nikos Kolobov

Publisher: Springer Nature

Published: 2022-06-01

Total Pages: 71

ISBN-13: 3031015436

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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.

Current Trends in AI Planning
Current Trends in AI Planning

Author: Christer Bäckström

Publisher: IOS Press

Published: 1994

Total Pages: 328

ISBN-13: 9789051991536

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AI planning is a broad research topic, linked with such issues as robotics, control theory, operations research and learning. The purpose of EWSP '93 was twofold. Planning under certainty, or classical search-based planning is one direction in the submitted papers, with approaches ranging from the introduction of conditional actions to methods based on statistics and decision theory.

Ai '92 - Proceedings Of The 5th Australian Joint Conference On Artificial Intelligence
Ai '92 - Proceedings Of The 5th Australian Joint Conference On Artificial Intelligence

Author: A Adams

Publisher: World Scientific

Published: 1992-10-09

Total Pages: 410

ISBN-13: 9814553603

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The papers in this volume deal with academic research topics as well as practical applications in AI. Special emphasis is given to computer vision, machine learning, neural networks mixed with theory of logic and reasoning, and practical applications of expert systems in industry and decision support.

An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems

Author: Michael Wooldridge

Publisher: John Wiley & Sons

Published: 2009-06-22

Total Pages: 484

ISBN-13: 0470519460

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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: To introduce the student to the concept of agents and multi-agent systems, and the main applications for which they are appropriate To introduce the main issues surrounding the design of intelligent agents To introduce the main issues surrounding the design of a multi-agent society To introduce a number of typical applications for agent technology After reading the book the student should understand: The notion of an agent, how agents are distinct from other software paradigms (e.g. objects) and the characteristics of applications that lend themselves to agent-oriented software The key issues associated with constructing agents capable of intelligent autonomous action and the main approaches taken to developing such agents The key issues in designing societies of agents that can effectively cooperate in order to solve problems, including an understanding of the key types of multi-agent interactions possible in such systems The main application areas of agent-based systems

Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving
Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

Author: Pavel Brazdil

Publisher: Springer Science & Business Media

Published: 2001-12-05

Total Pages: 431

ISBN-13: 354043030X

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This book constitutes the refereed proceedings of the 10th Portuguese Conference on Artificial Intelligence, EPTA 2001, held in Porto, Portugal, in December 2001. The 21 revised long papers and 18 revised short papers were carefully reviewed and selected from a total of 88 submissions. The papers are organized in topical sections on extraction of knowledge from databases, AI techniques for financial time series analysis, multi-agent systems, AI logics and logic programming, constraint satisfaction, and AI planning.