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Distributed Artificial Intelligence Volume 2 (Research Notes in Artificial Intelligence) by Les Gasser

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Published by Morgan Kaufmann .
Written in English


  • Artificial Intelligence,
  • Computers - General Information,
  • Computer Books: Operating Systems,
  • Artificial Intelligence - General,
  • Computers / Artificial Intelligence

Book details:

The Physical Object
Number of Pages649
ID Numbers
Open LibraryOL9319264M
ISBN 101558600922
ISBN 109781558600928

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Research Notes in Artificial Intelligence: Distributed Artificial Intelligence, Volume II focuses on the growing interest in Distributed Artificial Intelligence (DAI). The selection first offers information on a unified theory of communication and social structure and boundary objects and heterogeneous distributed problem solving. This book is intended for researchers, system developers, and students in artificial intelligence and related disciplines. It can also be used as a reference for students and researchers in other disciplines, such as psychology, philosophy, robotics, and distributed computing, who wish to understand the issues of DAI. Definition. Distributed Artificial Intelligence (DAI) is an approach to solving complex learning, planning, and decision making is embarrassingly parallel, thus able to exploit large scale computation and spatial distribution of computing properties allow it to solve problems that require the processing of very large data sets.   Each book in our collection is a unique chance to dive deeper into the amazing world of artificial intelligence. Best Books on Artificial Intelligence in PDF. Possibly, PDF is one of the most widely-used formats today. Therefore, we decided to start our collection from the best books on artificial intelligence and machine learning available in it.

V. Jagannathan and R. Dodhiawalla. Distributed Artificial Intelligence: An Annotated Bibliography. In Michael N. Huhns, editor, Distributed Artificial Intelligence, pages , Pitman Publishing/ Morgan Kaufmann Publishers, San Mateo, CA, Google Scholar Cross Ref; M. Vaughan Johnson and Barbara Hayes-Roth.   The book also explains the specific rationale for the integration of different forms of distributed artificial intelligence into cognitive communications, something which is often neglected in many forms of technical contributions available today. Furthermore, the chapters are divided into four disciplines: wireless communications, distributed. A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence Abstract: 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. This book went for junior to senior college understudies and first-year graduate understudies, presents Artificial Intelligence (AI) utilizing a reasonable system to ponder the outline of smart computational specialists. By indicating how essential methodologies fit into a multidimensional plan space, per users can take in the basics without.

  Purchase Distributed Artificial Intelligence - 1st Edition. Print Book & E-Book. ISBN , Book Edition: 1. Koch F and Westphall C () Decentralized Network Management Using Distributed Artificial Intelligence, Journal of Network and Systems Management, , (), Online publication date: 1-Dec   Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications offers an enriched set of research articles in artificial intelligence (AI), covering significant AI subjects such as information retrieval, conceptual modeling, supply chain demand forecasting, and machine learning algorithms. This comprehensive collection.   A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence (Synthesis Lectures on Artificial Intelligence and Machine Learning) [Vlassis, Nikos] on *FREE* shipping on qualifying offers. A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence (Synthesis Lectures on Artificial Intelligence Cited by: