Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence eBook Download
In view of the interdisciplinary nature of the field, it will be a useful reference not only for computer scientists and engineers, but for social scientists and management and organization scientists as well.
A comprehensive monography
This is one out of very few books that exist on multiagent systems and distributed artificial intelligence which won't take for granted the reader. I personally would say the book is a "must-have-it", not only for those seeking to understand in concrete distributed artificial intelligence or multiagent systems, but also for any mathematician, physicists, computer scientists and engineer whose background touches somehow the concepts of artificial intelligence as a whole. However, while this is a great way to get started in agents, understand how agents can be used in intelligent applications (from distributed AI type problem solving, to resource optimization problems), and "get the agent paradigm," coverage of agent software engineering techniques is light. This is not a fault of this book - you will simply need other resources to understand the difficulties and current research in engineering multi agent systems (or indeed any concurrent distributed system). So if you are trying to figure out what to do with agents, or how agent systems work, this is the book for you. I liked the chapters on distributed problem solving and planning (Chapter 3),Learning in multiagent systems (chapter 6), Formal methods in DAI: Logic based representation and reasoning (chapter 8)and Groupware and computer supported cooperative work (chapter 10) very much.Readers of diverse interest in distributed artificial intelligence will find the other chapters equally interesting and useful.The book should be on the desk of anyone interested to learn the concepts of multiagent systems and technology.
A comprehensive monography
This is one out of very few books that exist on multiagent systems and distributed artificial intelligence which won't take for granted the reader. I personally would say the book is a "must-have-it", not only for those seeking to understand in concrete distributed artificial intelligence or multiagent systems, but also for any mathematician, physicists, computer scientists and engineer whose background touches somehow the concepts of artificial intelligence as a whole. However, while this is a great way to get started in agents, understand how agents can be used in intelligent applications (from distributed AI type problem solving, to resource optimization problems), and "get the agent paradigm," coverage of agent software engineering techniques is light. This is not a fault of this book - you will simply need other resources to understand the difficulties and current research in engineering multi agent systems (or indeed any concurrent distributed system). So if you are trying to figure out what to do with agents, or how agent systems work, this is the book for you. I liked the chapters on distributed problem solving and planning (Chapter 3),Learning in multiagent systems (chapter 6), Formal methods in DAI: Logic based representation and reasoning (chapter 8)and Groupware and computer supported cooperative work (chapter 10) very much.Readers of diverse interest in distributed artificial intelligence will find the other chapters equally interesting and useful.The book should be on the desk of anyone interested to learn the concepts of multiagent systems and technology.
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Publisher: The MIT Press
ISBN: 0262731312 / 9780262731317
Pages: 648
Publication Date: Jul 31, 2000
eBook Subject: Computer & Internet
ISBN: 0262731312 / 9780262731317
Pages: 648
Publication Date: Jul 31, 2000
eBook Subject: Computer & Internet
