Comparing ooda presentation

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Comparing ooda presentation

  1. 1. ROYAL NETHERLANDS MILITARY ACADEMYComparing OODA and Other Models asOperational View C2 Architecture Tim Grant * & Bas Kooter ** Tim Grant * & Bas Kooter ** * Royal Netherlands Military Academy * Royal Netherlands Military Academy TJ.Grant@mindef.nl TJ.Grant@mindef.nl ** MultiNeeds b.v. ** MultiNeeds b.v. MultiNeeds@planet.nl MultiNeeds@planet.nl
  2. 2. Outline Introduction Boyd’s (1996) OODA OODA as Operational View Comparison with other models OODA’s shortcomings Re-engineering OODA Further work13-16 Jun 05 Grant: Comparing OODA & Other Models 2
  3. 3. Introduction “Beyond SA: closing OODA loop” “Beyond SA: closing OODA loop” Authors: Tim Grant: Professor, Operational ICT Bas Kooter: Independent consultant Royal Netherlands Military Academy: Faculty of Military Science, MOD (NL) Faculty’s research themes: Optimising operational resources Future wars Intelligent support for decision-making Technology-induced transformation Partnerships Availability13-16 Jun 05 Grant: Comparing OODA & Other Models 3
  4. 4. Boyd’s (1996) OODA model Observe Orient Decide Act Implicit Implicit Unfolding Guidance Cultural GuidanceCircumstances & Control Traditions & Control Genetic Analyses & Feed Observations Forward Heritage Synthesis Feed Decision Feed Action Forward Forward (Hypothesis) (Test) New Information Previous Outside Experience UnfoldingInformation Interaction Unfolding With Interaction Feedback Environment With Feedback Environment 13-16 Jun 05 Grant: Comparing OODA & Other Models 4
  5. 5. OODA as Operational ViewOODA13-16 Jun 05 Grant: Comparing OODA & Other Models 5
  6. 6. Comparisons (1) OODA compared with: Wohl’s (1981) SHOR model Rasmussen (1983) three-level model Mayk & Rubin’s (1988) review of 15 models Klein’s (1998) RPDM model Endsley’s (2000) SA model Demming’s (1951) Plan-Do-Check-Act13-16 Jun 05 Grant: Comparing OODA & Other Models 6
  7. 7. Comparisons (2) OODA SHOR Rasmussen Mayk RPDM SA PDCAControl loop? √ √ √ √ √ √ √Detailed? √ √ √ √Tempo? √Planning? √ (1) √ (2) (3) √ (4)Learning? √Interaction? √ √ √ ?Peer review? √ √ √ ? √ √ √ 13-16 Jun 05 Grant: Comparing OODA & Other Models 7
  8. 8. OODA’s shortcomings Neither detailed nor formalised No guarantee of scalability Other agents not modelled explicitly Competitive interactions only Lacks psychological validity: No domain state or world model No concept of attention or memory Lacks deliberative planning process Lacks learning process13-16 Jun 05 Grant: Comparing OODA & Other Models 8
  9. 9. Re-engineering OODA (1) Re-engineering process: Define requirements: √ √ “Rational reconstruction” of OODA Apply use-cases √ √ Formalise using SADT: √ √ -> Operational View architecture Object-oriented analysis using UML: -> Systems View architecture Implement in Java, C# or Smalltalk: For verification of Operational View Real-time performance NOT optimised13-16 Jun 05 Grant: Comparing OODA & Other Models 9
  10. 10. Re-engineering OODA (2) Agent Set Filter Signal Observation Retrieve alternative COA Observing Goals Unexpected situation Goals Sensors Orienting Accepted Expected goal Situation Control of planning Prototypes Plans Observed Assessors Planning prototypes Construct COA Effects achieved Environment New/modified Prototypes Prototype Planners Deciding Situation not recognised Selected Decision Plan makers Control of Sensemaking Existing prototypes Sensem aking Acting Sensemakers COAs Actuators Expectations Actions13-16 Jun 05 Grant: Comparing OODA & Other Models 10
  11. 11. Further work UML analysis (in progress) Implement & test demonstrator Incorporate lessons learned in: Operational View architecture Systems View architecture Publish further papers: Rational reconstruction (submitted) Validation against 9/11 timeline Planning niche13-16 Jun 05 Grant: Comparing OODA & Other Models 11
  12. 12. Any questions?13-16 Jun 05 Grant: Comparing OODA & Other Models 12

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