How people make decisions, explained through systematic models This book presents a framework for understanding decision behavior by breaking it into memory, information processes, and rule-based programs. It shows how researchers test these ideas with models that predict how a person chooses among options.
The text uses real‑world examples, including how an investment decision might unfold when selecting stocks for a portfolio. It also explains methods for studying decision making, such as interviews, problem-solving protocols, and constrained writing tasks, all aimed at building testable models of behavior.
- The three core postulates that shape decision processes: memory, information processing, and rules for combining steps.
- How to construct and test models that predict actual decision outcomes.
- Practical data-collection approaches, like interviews, protocols, and guided problem solving.
- An illustrated portfolio‑selection model showing how data, policies, and securities come together to form a decision.
Ideal for readers of psychology, cognitive science, and behavioral decision research seeking a clear framework for analyzing how decisions are made.