Genotype dynamic for agent neuroevolution in artificial life model

• Main Authors: Zavertanyy, V., Makarenko, A.
• Format: Article
• Language: English
• Published: Навчально-науковий комплекс "Інститут прикладного системного аналізу" НТУУ "КПІ" МОН та НАН України 2017
• Series: Системні дослідження та інформаційні технології
• Subjects: Математичні методи, моделі, проблеми і технології дослідження складних систем
• Online Access: http://dspace.nbuv.gov.ua/handle/123456789/151065

Cooperation behavior is one of the most used and spread Multi-agent system feature. In some cases emergence of this behaviour can be characterized by division of population on co-evolving subpopulations [1], [2]. Group interaction can take not only antagonistic conflict form but also genetic drift that results with strategies competition and assimilation [3]. In this work we demonstrate different relation between agent grouping and they behavior strategies. We use approach proposed in work [2] methodology of agent genotype dynamic tracking, due to this approach the evolving population can be presented in genotype space as a cloud of points where each point corresponds to one individual. In current work consider the movement of population centroid – the center of the genotype cloud. Analysis of such trajectories can shad the light on the regimes of population existence and genesis.