Probability Collectives, Softcover reprint of the original 1st ed. 2015 A Distributed Multi-agent System Approach for Optimization Intelligent Systems Reference Library Series, Vol. 86

This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.

Provides the core and underlying principles and analysis of the different concepts in the framework of Collective Intelligence for modeling and controlling distributed Multi-Agent Systems

Discusses in detail the modified Probability Collectives approach proposed by the authors

Emphasizes development of the fundamental results from basic concepts

Numerous examples/problems are worked out in the text allowing the reader to gain further insight into the associated concepts

Written for engineers, scientists and students in Optimization, Computational Intelligence or Artificial Intelligence and particularly involved in the Collective Intelligence field

Includes supplementary material: sn.pub/extras