Intelligent Complex Evolutionary Agent-Based Systems
László Barna Iantovics, Enachescu Calin, László Barna Iantovics, Enachescu Calin, Florin Gheorghe Filip · AIP conference proceedings · 2009
In this paper, we investigate the possibility to develop intelligent agent‐based complex systems that use evolutionary learning techniques in order to adapt for the efficient solving of the problems by reorganizing their structure. For this investigation is proposed a complex multiagent system called EAMS (Evolutionary Adaptive Multiagent System), which using an evolutionary learning technique can learn different patterns of reorganization. The realized study proves that evolutionary techniques successfully can be used to create complex multiagent systems capable to intelligently reorganize their structure during their life cycle. The practical establishment of the intelligence of a computational system in generally, an agent‐based system in particularly consists in how efficiently and flexibly the system can solve difficult problems.