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Distributed Intelligence Systems Methods and Applications by D. Mladenov

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Published by Pergamon .
Written in English

Subjects:

  • Artificial intelligence,
  • Computer architecture & logic design,
  • Science/Mathematics,
  • Environmental Engineering & Technology,
  • Science,
  • Computers - General Information,
  • Technology,
  • Artificial Intelligence - General,
  • Computer Science,
  • Environmental Science

Book details:

The Physical Object
FormatHardcover
Number of Pages372
ID Numbers
Open LibraryOL9266493M
ISBN 100080357415
ISBN 109780080357416

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  The book contains the papers developed from the presentations at the Distributed Intelligence in Design Symposium, held in Salford in May In this context, Distributed Intelligence . The goal of this course is to provide methods and tools for modeling distributed intelligent systems as well as designing and optimizing coordination strategies. The course is a well . This book is dedicated to intelligent systems of broad-spectrum application, such as personal and social biosafety or use of intelligent sensory micro-nanosystems such as "e-nose", "e-tongue" and "e-eye". Distributed Intelligent Systems. A number of natural and artificial systems can be considered as intrinsically distributed and consisting of nodes presenting a certain degree of intelligence. Typical examples of distributed intelligent systems include social insect colonies, flocks of vertebrates, multi-agent systems, transportation systems.

A collection of books for learning about distributed computing. Score A book’s total score is based on multiple factors, including the number of people who have voted for it and how highly those voters ranked the book. Replication - Theory and Practice - effective replication is the heart of modern distributed systems and this theme is covered well in this book. Introduction to Distributed Algorithms: Gerard Tel: : Books - this book . Multi-agent systems is a subfield of Distributed Artificial Intelligence that has experienced rapid growth because of the flexibility and the intelligence available solve distributed problems.   Rapidly develop reliable, distributed systems with the patterns and paradigms in this free e-book Published: 1/20/ Distributed systems enable different areas of a .

Book Description. The book contains the papers developed from the presentations at the Distributed Intelligence in Design Symposium, held in Salford in May In this context, Distributed Intelligence . Distributed Artificial Intelligence - Deshmukh A. ©Encyclopedia of Life Support Systems (EOLSS) computational agents or amalgamation of people and computers in information economies. This research can be broadly classified into two areas: distributed problem solving and multi-agent systems. Distributed . That last point is what establishes a real gap between MAS and some other fields like Artificial Intelligence, Systemics, Distributed Systems and robotics. The book explores one by one . Distributed artificial intelligence (DAI) refers to systems in which decentralized, cooperative agents work synergistically to perform a task. Alternative DAI models resemble particular biological or social systems.