This work investigates the historical development and current state of computational cognitive architectures, seeking to define the criteria for building systems that replicate human-like intelligence. Dr. Iuliia Kotseruba and Prof. John K. Tsotsos synthesize decades of research in artificial intelligence and cognitive science to evaluate how various models attempt to bridge the gap between biological cognition and machine implementation. The authors provide a rigorous framework for comparing these architectures based on their functional capabilities, structural design, and alignment with psychological theories of human behavior.

Experts in the field recognize this text as a foundational reference for understanding the evolution of cognitive modeling. Readers frequently note the academic density of the prose, which is tailored for researchers and graduate students in computational neuroscience and artificial intelligence.