Psychologically realistic cognitive agents: taking human cognition seriously

Cognitive architectures may serve as a good basis for building mind/brain-inspired, psychologically realistic cognitive agents for various applications that require or prefer human-like behavior and performance. This article explores a well-established cognitive architecture CLARION and shows how its behavior and performance capture human psychology at a detailed level. The model captures many psychological quasi-laws concerning categorization, induction, uncertain reasoning, decision-making, and so on, which indicates human-like characteristics beyond what other models have been shown capable of. Thus, CLARION constitutes an advance in developing more psychologically realistic cognitive agents.