REPORT DOCUMENTATION PAGEForm Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information.
PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)Rensselaer Polytechnic Institute 110 8th Street Troy New York 12180
PERFORMING ORGANIZATION REPORT NUMBERN/A
SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES)Air This effort examined, from both theoretical and empirical perspectives, major paradigms underlying the support of strategic decision processes in hyper-competitive environments. The primary research objectives were to (1) to develop a theoretic schema of approaches to strategic decision support, and (2) to provide an empirical research plan and detailed experimental design to assess the efficacy of the different paradigms. This final report identifies four major paradigms or "schools of thought" of strategic decision support: autonomous, directive, predictive, and emergent. The proposed paradigms are offered to illustrate how recent EBO tool development approaches may be classified and subsequently characterized based upon their inherent gravitation to a particular decision support paradigm.
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AbstractThroughout the course of history, great leaps in progress and understanding have been facilitated through the questioning of basic assumptions. In an effort to uncover critical opportunities and vulnerabilities within effect-based operations (EBO), similar questions must be posed to our current assumptions underlying EBO tool development practices. Required for these assumptions to be examined is a shared understanding of strategy formulation as an intensely human process. The breadth of approaches used in recent years to help commanders formulate effects-based courses of action (CoA) is quite diverse including expert systems, Bayesian networks, and scenario analysis. All of these approaches represent best guess assumptions of how to codify aspects of the strategy development process, often with out regard for the principles of automation. The adverse unintended consequences made possible from this neglect are wide ranging, including the potential to inadvertently foster convergent vs. divergent thinking, conditioning commanders and policy makers to accept a dangerously limited view as an accurate model of "real world" threats. Imperative to avoiding this conceivable eventuality is a strategic perspective on EBO tool development practices. Identified in this paper are four major paradigms or "schools of thought" of strategic decision support: autonomous, directive, predictive, and emergent. The proposed paradigms are offered to illustrate how recent EBO tool development approaches may be classified and subsequently characterized based upon their inherent gravitation to a particular decision support paradigm.ii