Metarecognition in Time-Stressed Decision Making: Recognizing, Critiquing, and Correcting

We describe a framework for decision making, called the recognition/metacognition (R/M) model, that explains how decision makers handle uncertainty and novelty while exploiting their experience in real-world domains. The model describes a set of critical-thinking strategies that supplement recognitional processes by verifying the results of recognition and correcting problems. Structured situation models causally organize information about a situation and provide a basis for metarecognitional processes. Metarecognitional processes determine when it is worthwhile to think more about a problem; identify evidence-conclusion relationships within a situation model; critique situation models for incompleteness, conflict, and unreliability; and prompt collection or retrieval of new information and revision of assumptions. We illustrate the R/M framework in the context of naval tactical decision making.

[1]  Dr. Marvin Cohen,et al.  Metacognitive Behavior in Adaptive Agents , 1998 .

[2]  Leonard Adelman,et al.  Rapid Capturing of Battlefield Mental Models , 1997 .

[3]  Gary Klein,et al.  Decision Making in Complex Naval Command-and-Control Environments , 1996, Hum. Factors.

[4]  Marvin S. Cohen,et al.  A Cognitive Framework for Battlefield Commanders' Situation Assessment , 1994 .

[5]  T. O. Nelson,et al.  Why investigate metacognition , 1994 .

[6]  G. Klein,et al.  Decision Making in Action: Models and Methods , 1993 .

[7]  Eric J. Johnson,et al.  The adaptive decision maker , 1993 .

[8]  John W. Payne,et al.  The adaptive decision maker: Name index , 1993 .

[9]  G. Klein,et al.  A recognition-primed decision (RPD) model of rapid decision making. , 1993 .

[10]  R. Sternberg,et al.  Complex Problem Solving : Principles and Mechanisms , 1992 .

[11]  Randi A. Engle,et al.  From representation to decision: An analysis of problem solving in international relations. , 1991 .

[12]  Vimla L. Patel,et al.  The general and specific nature of medical expertise: A critical look. , 1991 .

[13]  K. A. Ericsson,et al.  Toward a general theory of expertise : prospects and limits , 1991 .

[14]  L. N. Kanal,et al.  Uncertainty in Artificial Intelligence 5 , 1990 .

[15]  D. Kuhn,et al.  The development of scientific thinking skills , 1988 .

[16]  Herbert A. Simon,et al.  THE MIND'S EYE IN CHESS , 1988 .

[17]  Peter Norvig,et al.  Inference in Text Understanding , 1987, AAAI.

[18]  T. E. Raphael,et al.  Metacognition, Instruction, and the Role of Questioning Activities , 1985 .

[19]  Marvin S. Cohen.  An Expert System Framework for Non-monotonic Reasoning About Probabilistic Assumptions , 1985, UAI.

[20]  D. Forrest-Pressley,et al.  Metacognition, cognition, and human performance , 1985 .

[21]  Robert J. Sternberg,et al.  Advances in the Psychology of Human Intelligence : Volume 5 , 1984 .

[22]  R. Sternberg.  Advances in the psychology of human intelligence , 1982 .

[23]  Michelene T. H. Chi,et al.  Expertise in Problem Solving. , 1981 .

[24]  Dorothea P. Simon,et al.  Expert and Novice Performance in Solving Physics Problems , 1980, Science.

[25]  L. Ross,et al.  Biased Assimilation and Attitude Polarization: The Effects of Prior Theories on Subsequently Considered Evidence , 1979 .

[26]  L. Beach,et al.  A Contingency Model for the Selection of Decision Strategies , 1978 .

[27]  William G. Chase,et al.  Visual information processing. , 1977 .