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Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
Structured Information for Support of Knowledge-based Reasoning
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Structured Information for Support of Knowledge-based Reasoning

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Synopsis: How cognitive systems engineering may fit into traditional system acquisition protocol. …

Synopsis: How cognitive systems engineering may fit into traditional system acquisition protocol.

Source: ERGOSS (www.ergoss.org) seminar by Dr. Gavan Lintern on 24th Nov. 2008 at UniSIM, Singapore

Published in: Design, Technology, Business
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  • Have you ever experienced a sense of frustration with the way discussions evolve? People take parochial positions, are selective in relation to facts, and jump from concrete to abstract ideas and back without signaling the shift. Typically, we do not organize our ideas.
  • Transcript

    • 1. Structured Information for Support of Knowledge-Based Reasoning Gavan Lintern General Dynamics – Advanced Information Systems [email_address]
    • 2. Expert reasoning follows an opportunistic trajectory through an Abstraction-Decomposition Space
    • 3. Illustrative Problem: How can Cognitive Engineers become integrated into the systems acquisition process?
    • 4. Need to Study This! New Products!
    • 5. Opportunities: Defeating the Barriers
    • 6. The problem-solution structure
    • 7. Defense Acquisition Management Framework Purpose-Related Functions
    • 8. Diverse Stakeholders, Diverse Values
    • 9.  
    • 10. Defense Acquisition Management Framework Purpose-Related Functions
    • 11. Cognitive Engineering tools Cognitive Engineering activities Phase products Their Products (stage 3)  Our Tools
    • 12. Their Products (stage 4)  Our Tools
    • 13. Different Stages (2-4)  Different Tools
    • 14.  
    • 15. Analysis of Cognitive Work
    • 16.
      • It's a soft technology!
      • We cannot predict human behavior!
      • We need to study this some more!
      • Design for Cognitive Work requires new Systems Engineering products!
      Myths of Cognitive Work!
    • 17.
      • Forget about soft technology!
      • We can predict human behavior!
      • We already have essential knowledge!
      • We do not need to develop new Systems Engineering products!
      Myth Busting: The Truths of Cognitive Work!
    • 18. The Time is Now!!

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