Intelligence Arms Race: Delayed Reward Increases Complexity of Agent Strategies

Abstract

Social brain theory hypothesizes that the human brain becomes larger through evolution mainly because of reading others' intentions in society. Reading opponents' intentions and cooperating with them or outsmarting them results in an intelligence arms race. The author discusses the evolution of such an arms race, represented as finite state automatons, under three distinct payoff schemes and the implications of these results, which suggest that agents increase complexity of their strategies.