A Study of Agents with Self-awareness for Collaborative Behavior

In the history of artificial intelligence (AI), primary agent focuses have been external environments, outside incentives, and behavioral responses. Internal operation mechanisms (i.e., attending to the self in the same manner as human self-awareness) have never been a concern for AI agent. We propose to address this core AI issue by proposing a novel agent cognitive learning model (ACLM) having similarities with human self-awareness, and to apply the proposed model to the Iterative Prisoner’s Dilemma (IPD) in cellular Automata networks. Our goal is to show the ability of a cognitive learning model to improve intelligent agent performance and support collaborative agent behavior. We believe additional simulations and analyses will indicate enriched social benefits, even in cases where only a few agents achieve limited selfawareness capabilities.