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Convergence and Knowledge Processing in Multi-Agent Systems

2009-05-20 Computers
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Release : 2009-05-20
Genre : Computers
Kind : eBook
Book Rating : 631/5 ( reviews)

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Book Synopsis Convergence and Knowledge Processing in Multi-Agent Systems by : Maria Chli

Download or read book Convergence and Knowledge Processing in Multi-Agent Systems written by Maria Chli. This book was released on 2009-05-20. Available in PDF, EPUB and Kindle. Book excerpt: Agent systems are being used to model complex systems like societies, markets and biological systems. In this book we investigate issues of agent systems related to convergence and interactivity using techniques from agent based modelling to simulate complex systems, and demonstrate that interactivity/exchange and convergence in multi-agent systems are issues that are significantly interrelated. Topic and features: - Introduces the state of the art in multi-agent systems, with an emphasis on agent-based computational economics. - Sheds light on the fundamental concepts behind the stability of multi-agent systems. - Investigates knowledge exchange among agents, the rationale behind it and its effects on the ecosystem. - Explores how information provided through interaction with the system can be used to optimise its performance. - Describes a pricing strategy for a realistic large-scale distributed system. This book supplies a comprehensive resource and will be invaluable reading for researchers and postgraduates studying this topic.

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

2007 Computers
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Release : 2007
Genre : Computers
Kind : eBook
Book Rating : 268/5 ( reviews)

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Book Synopsis A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence by : Nikos Vlassis

Download or read book A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence written by Nikos Vlassis. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Adaptive Agents and Multi-Agent Systems II

2005-03-04 Computers
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Release : 2005-03-04
Genre : Computers
Kind : eBook
Book Rating : 606/5 ( reviews)

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Book Synopsis Adaptive Agents and Multi-Agent Systems II by : Daniel Kudenko

Download or read book Adaptive Agents and Multi-Agent Systems II written by Daniel Kudenko. This book was released on 2005-03-04. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive agents and multi-agent systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, software engineering, and developmental biology, as well as cognitive and social science. This book presents 17 revised and carefully reviewed papers taken from two workshops on the topic as well as 2 invited papers by leading researchers in the area. The papers deal with various aspects of machine learning, adaptation, and evolution in the context of agent systems and autonomous agents.

Innovations in Multi-Agent Systems and Application – 1

2010-07-17 Technology & Engineering
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Release : 2010-07-17
Genre : Technology & Engineering
Kind : eBook
Book Rating : 357/5 ( reviews)

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Book Synopsis Innovations in Multi-Agent Systems and Application – 1 by : Dipti Srinivasan

Download or read book Innovations in Multi-Agent Systems and Application – 1 written by Dipti Srinivasan. This book was released on 2010-07-17. Available in PDF, EPUB and Kindle. Book excerpt: In today’s world, the increasing requirement for emulating the behavior of real-world applications for achieving effective management and control has necessitated the usage of advanced computational techniques. Computational intelligence-based techniques that combine a variety of problem solvers are becoming increasingly pervasive. The ability of these methods to adapt to the dynamically changing environment and learn in an online manner has increased their usefulness in simulating intelligent behaviors as observed in humans. These intelligent systems are able to handle the stochastic and uncertain nature of the real-world problems. Application domains requiring interaction of people or organizations with different, even possibly conflicting goals and proprietary information handling are growing exponentially. To efficiently handle these types of complex interactions, distributed problem solving systems like multiagent systems have become a necessity. The rapid advancements in network communication technologies have provided the platform for successful implementation of such intelligent agent-based problem solvers. An agent can be viewed as a self-contained, concurrently executing thread of control that encapsulates some state and communicates with its environment, and possibly other agents via message passing. Agent-based systems offer advantages when independently developed components must interoperate in a heterogenous environment. Such agent-based systems are increasingly being applied in a wide range of areas including telecommunications, Business process modeling, computer games, distributed system control and robot systems.

Learning and Adaption in Multi-Agent Systems

2006-04-10 Computers
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Release : 2006-04-10
Genre : Computers
Kind : eBook
Book Rating : 534/5 ( reviews)

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Book Synopsis Learning and Adaption in Multi-Agent Systems by : Karl Tuyls

Download or read book Learning and Adaption in Multi-Agent Systems written by Karl Tuyls. This book was released on 2006-04-10. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Learning and Adaption in Multi-Agent Systems, LAMAS 2005, held in The Netherlands, in July 2005, as an associated event of AAMAS 2005. The 13 revised papers presented together with two invited talks were carefully reviewed and selected from the lectures given at the workshop.

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