Lecture Notes in Computer Science, 2004, Volume 3102/2004, 261-262, DOI: 10.1007/978-3-540-24854-5_27

Solving Engineering Design Problems by Social Cognitive Optimization

Xiao-Feng Xie and Wen-Jun Zhang

View Related Documents

Abstract

Swarm systems are products of natural evolution. The complex collective behavior can emerge from a society of N autonomous cognitive entities [2], called as agents [5]. Each agent acquires knowledge in socially biased individual learning [4]. For human, the extrasomatic arbitrary symbols that manipulated by language allows for cognition on a grand scale [3], since agent can acquire social information that is no longer limited to direct observation to other agents. The individual learning then only plays secondary role due to the ubiquity and efficiency of social learning [1].

Fulltext Preview

Image of the first page of the fulltext document