Decision-Making: A Cognitive Science Perspective

Abstract

This chapter overviews topics in judgment and decision making from a cognitive science perspective. It advocates a closed-loop view of decision making: an interactive and continuous dynamic process of exchanges between humans and their environment. The chapter first discusses the open-loop view of decision making that has dominated the field for many decades, beginning with a historical perspective on rationality and bounded rationality to distinguish the closed and open-loop views and the research from two major fields that study decision making: economics and psychology. It then presents foundational research for the closed-loop view that involves probability learning and dynamic decision making, adaptive decision making, and recent research on dynamic decision making and decisions from experience. The last section presents the naturalistic decision-making perspective and its connections to cognitive engineering and human factors. It concludes with a view on future research at individual, team, group, and societal levels.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
AD1142431

Entities

People

  • Cleotilde Gonzalez

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Behavioral Sciences
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Complex Systems
  • Computational Science
  • Decision Theory
  • Human Behavior
  • Human Factors Engineering
  • Judgment
  • Military Research
  • New York
  • Probability
  • Psychology
  • Training

Readers

  • Control Systems Engineering.
  • Educational Psychology
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.