Towards incremental social learning in optimization and multiagent systems

Marco A. Montes de Oca, Thomas Stützle
2008 Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation - GECCO '08  
Social learning is a mechanism that allows individuals to acquire knowledge from others without incurring the costs of acquiring it individually. Individuals that learn socially can thus spend their time and energy exploiting their knowledge or learning new things. In this paper, we adapt these ideas for their application to both optimization and multiagent learning. The approach consists of a growing population of agents that learn socially as they become part of the main population. We find
more » ... at learning socially in an incremental way can speed up the optimization and learning processes, as well as improve the quality of the solutions and strategies found. * c ACM, (2008) This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in the proceedings of the 2008 GECCO conference companion on genetic and evolutionary computation, http://doi.acm.
doi:10.1145/1388969.1389004 dblp:conf/gecco/OcaS08a fatcat:2k77bs3ivrdhpjpzkuz6earfhm