rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Implications of modern decision science for military decision-support systems
  name:
    name part: Davis, Paul K.
    name part: 1943-
    role:
      role term: creator
  name:
    name part: Kulick, Jonathan
    name part: 1966-
  name:
    name part: Egner, Michael.
  name:
    name part: JSTOR (Organization)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: cau
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxiv, 156 pages) : illustrations
  abstract: Decision science concerns understanding human decisionmaking and methods and tools to assist it. The first concern includes the distinction between descriptive and prescriptive: how humans actually decide, versus how they should decide. Much of the early literature prescribed rational-analytic methods, such as embodied in systems analysis and policy analysis. The descriptive literature, however, has long noted that humans use heuristics (cognitive shortcuts), which are usually quite valuable, but which sometimes introduce unintended biases. Efforts have been made to improve decision support by "debiasing" the presentation of information. A newer literature on "naturalistic" decisionmaking, however, emphasizes the strengths of intuitive decisionmaking based on heuristics and questions the desirability of debiasing. Our study contrasts the schools of thought and suggests steps toward a synthesis. Ultimately, decision support should appeal to both the rational-analytic and the intuitive capabilities of the decisionmaker, with a balance of "cold" and story-based presentation of analysis and recommendations. The particular balance should depend on characteristics of the decision, the decision environment, and the decisionmaker. Our study also discusses new tools emerging for decision support, which include increasingly realistic models and simulations, such as virtual worlds, and new methods to help in the creative and imaginative aspects of strategic planning. Most important, we note modern methods, such as exploratory analysis, to encourage decisions and strategies that are flexible, adaptive, and robust so as to deal well with uncertainty.
  note: Paul K. Davis, Jonathan Kulick, Michael Egner.
  note: "Prepared for the United States Air Force, approved for Public release; distribution unlimited."
  note: "MG-360-AF"--Page [4] cover.
  note: Electronic resource.
  note: Includes bibliographical references.
  subject:
    geographic code: n-us---
  subject:
    name:
      name part: United States.
      name part: Air Force
    topic: Research
  subject:
    name:
      name part: United States.
      name part: Air Force.
  subject:
    topic: Military planning
    geographic: United States
    topic: Decision making
    topic: Data processing
  subject:
    topic: Decision support systems
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Military Science
  subject:
    topic: Decision support systems
  subject:
    topic: Military planning
    topic: Decision making
    topic: Data processing
  subject:
    topic: Armed Forces
    topic: Research
  subject:
    geographic: United States
  classification: U393.5 .D37 2005eb
  classification: 358.4/07/0973
  related item:
    title info:
      title: Implications of modern decision science for military decision-support systems
    name:
      name part: Davis, Paul K., 1943-
    origin info:
      publisher: Santa Monica, CA : Rand, Project Air Force, 2005
    identifier: (DLC) 2005013419
    identifier: (OCoLC)60419618
  identifier: 9780833040886
  identifier: 083304088X
  identifier: 9780833038081
  identifier: 0833038087
  identifier: 22573/cttjm3h JSTOR
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: Nz
    record creation date: 050510
    record change date: 20260728172605.9
    record identifier: in00003894778
    language of cataloging:
      language term: eng