Probability Collectives: A Distributed Optimization Approach
作者： Anand Jayant Kulkarni , Kang Tai , Ajith Abraham
DOI: 10.1007/978-3-319-16000-9_2
关键词:
摘要: An emerging Artificial Intelligence tool in the framework of Collective (COIN) for modeling and controlling distributed Multi-agent System (MAS) referred to as Probability Collectives (PC) was first proposed by Dr. David Wolpert 1999 a technical report presented NASA.
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sci-hub.se 参考文章(35)
Manuela Veloso, Michael Bowling, Rational and convergent learning in stochastic games international joint conference on artificial intelligence. pp. 1021- 1026 ,(2001)
David E. Goldberg, Manohar P. Samtani, Engineering Optimization Via Genetic Algorithm Electronic Computation. ,vol. 40, pp. 471- 482 ,(1986)
Brian M. Autry, University course timetabling with probability collectives Monterey, California. Naval Postgraduate School. ,(2008)
Stefan Richard Bieniawski, Ilan M. Kroo, Distributed optimization and flight control using collectives ,(2005)
Anand J. Kulkarni, K. Tai, Probability Collectives: A Decentralized, Distributed Optimization for Multi-Agent Systems Advances in Intelligent and Soft Computing. pp. 441- 450 ,(2009) , 10.1007/978-3-540-89619-7_43
Kevin Ross, Geoffrey S. Ryder, A probability collectives approach to weighted clustering algorithms for ad hoc networks. Communications and Computer Networks. pp. 94- 99 ,(2005)
Jasbir S. Arora, Introduction to Optimum Design ,(1988)
David H. Wolpert, Information Theory - The Bridge Connecting Bounded Rational Game Theory and Statistical Physics Complex Engineered Systems: Science Meets Technology, Understanding Complex Systems. pp. 262- 290 ,(2006) , 10.1007/3-540-32834-3_12
Garret N. Vanderplaats, Numerical optimization techniques for engineering design ,(1999)
DAVID H. WOLPERT, CHARLIE E. M. STRAUSS, DEV RAJNARAYAN, ADVANCES IN DISTRIBUTED OPTIMIZATION USING PROBABILITY COLLECTIVES Advances in Complex Systems. ,vol. 09, pp. 383- 436 ,(2006) , 10.1142/S0219525906000884