Parallels Between the Recognition-Primed Decision Model and Case-Based Reasoning

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Authors
  1. Breton, R.
Corporate Authors
Defence Research Establishment Valcartier, Valcartier QUE (CAN)
Abstract
Evidence has been brought about the utility of the Naturalistic Decision-Making (NDM) model in military Command and Control (C2). NDM may be seen as a good representation of the environment in which C2 activities take place. NDM represents situation characterized by uncertainty, time pressure, high stakes, ill-structured problems, competing or conflicting goals, etc. Developed from a human factor perspective, the Recognition-Primed Decision model (RPD) represents how humans make decisions in the NDM context. According to the RPD model, the pattern recognition and mental simulation phases seem determinant for the human performance. Therefore, from a technological perspective, Decision Support Systems (DSS) must support three phases to efficiently support the human decision-making processes in the NDM context. In business management and manufacturing contexts, the Case-Based Reasoning (CBR) approach has been successfully used to support decisional processes. This knowledge acquisition, and the cognitive areas of learning. The contexts of CBR applications may be different from that defined by the NDM. However, there are some noticeable similarities between the CBR and the RPD architecture. This document presents these similarities and discusses the possible application of CBR concepts to the decision making processes involved in the NDM context.

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Keywords
Case-based reasoning;Naturalistic decision making;Reasoning;Recognition-primed descision model;Expert decision making;Mental stimulation;Decision Support Systems (DSS);Uncertainty;Knowledge acquisition;Pattern matching;Development of expertise
Report Number
DRDC-VALCARTIER-TM-2001-003 — Technical Memorandum
Date of publication
13 Sep 2002
Number of Pages
37
DSTKIM No
CA021226
CANDIS No
517942
Format(s):
Hardcopy;Document Image stored on Optical Disk

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