This work investigates the fundamental question of how human beings organize knowledge to process information, predict outcomes, and understand language. Authors Roger C. Schank and Robert P. Abelson, both prominent figures in cognitive science and artificial intelligence, propose a theoretical framework centered on the concept of 'scripts'—pre-existing knowledge structures that allow individuals to navigate routine social and physical situations. By analyzing how these mental structures function, the authors argue that human understanding is not merely a collection of facts but a dynamic system of expectations and goal-oriented behaviors. This inquiry bridges the gap between psychological theory and computational modeling, providing a foundation for how machines might be programmed to simulate human-like comprehension.

Experts recognize this text as a foundational contribution to the fields of cognitive science and artificial intelligence, particularly regarding natural language understanding. Readers frequently note the academic density of the prose, which serves as a rigorous exploration of how mental models shape human cognition.