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 SystemsDiscusses in detail the modified Probability Collectives approach proposed by the authorsEmphasizes development of the fundamental results from basic conceptsNumerous examples/problems are worked out in the text allowing the reader to gain further insight into the associated conceptsWritten for engineers, scientists and students in Optimization, Computational Intelligence or Artificial Intelligence and particularly involved in the Collective Intelligence fieldIncludes supplementary material: sn.pub/extras

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