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Natural Algorithms in a Networked World.

The article discusses theories of collective behavior including social networking behavior in humans, flocking in birds, and schooling in fishes, particularly noting the theory of collective phenomena which combines dynamical systems, graph theory, Markov chains, and algorithms. It addresses the imp...

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Publicado en:Communications of the ACM Vol. 55; no. 12; pp. 100 - 101
Autor principal: Jadbabaie, Ali
Formato: Artículo
Publicado: Association for Computing Machinery Dec2012
Materias:
Collective behavior
Multiagent systems
Dynamical systems
Social network research
Bird behavior
Fish schooling
Degrees of freedom
Chazelle, Bernard
Markov processes
Algorithms
Graph theory
Mathematical models
Acceso en línea:Ver este registro en EBSCOhost
Sumario:The article discusses theories of collective behavior including social networking behavior in humans, flocking in birds, and schooling in fishes, particularly noting the theory of collective phenomena which combines dynamical systems, graph theory, Markov chains, and algorithms. It addresses the importance of the local neighborhood and modeling many-degrees-of-freedom, as well as comments on influence systems. It explores diffusive influence systems, multi-agent systems, and the work of computer scientist Bernard Chazelle.