TY - BOOK ID - 4864447 TI - Probability Collectives : A Distributed Multi-agent System Approach for Optimization AU - Kulkarni, Anand Jayant. AU - Tai, Kang. AU - Abraham, Ajith PY - 2015 SN - 9783319160009 3319159992 9783319159997 3319160001 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Engineering. KW - Computational Intelligence. KW - Artificial Intelligence (incl. Robotics). KW - Statistical Physics, Dynamical Systems and Complexity. KW - Artificial intelligence. KW - Ingénierie KW - Intelligence artificielle KW - Computational intelligence. KW - Multiagent systems. KW - Engineering & Applied Sciences KW - Computer Science KW - Intelligence, Computational KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Agent-based model (Computer software) KW - MASs (Multiagent systems) KW - Multi-agent systems KW - Systems, Multiagent KW - Statistical physics. KW - Dynamical systems. KW - Artificial intelligence KW - Soft computing KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Dynamical systems KW - Kinetics KW - Mathematics KW - Mechanics, Analytic KW - Force and energy KW - Mechanics KW - Physics KW - Statics KW - Mathematical statistics KW - Construction KW - Industrial arts KW - Technology KW - Statistical methods KW - Intelligent agents (Computer software) KW - Artificial Intelligence. KW - Complex Systems. KW - Statistical Physics and Dynamical Systems. UR - https://www.unicat.be/uniCat?func=search&query=sysid:4864447 AB - 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. ER -