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Applications of Computational Command Leadership AI Models (ACCLAIM)

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: N10PC20085
Agency Tracking Number: 09ST2-0014
Amount: $98,912.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: ST092-002
Solicitation Number: 2009.B
Solicitation Year: 2009
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-02-01
Award End Date (Contract End Date): 2010-08-15
Small Business Information
951 Mariner
San Mateo, CA 94404
United States
DUNS: 608176715
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Eric Domeshek
 Principal Investigator
 (650) 931-2700
Business Contact
 Carolyn Maxwell
Title: Contracts Manager
Phone: (650) 931-2726
Research Institution
 Engines for Education
3 Longview Drive
Holmdel, NJ 7733
United States

 (732) 888-8121
 Domestic Nonprofit Research Organization

A military without good leadership is a mob. Identification, preparation, guidance and mentoring of potential leaders are critical functions across all services. Leadership training and support can be substantially improved by refinement of theories and models on what constitutes good leadership, and what enables individual to be effective leaders. DoD needs better models of how leaders learn, decide, and act—cognitive models that include social and emotional influences, and support computation for explanatory tracking, prediction, and/or prompting. Stottler Henke proposes to work with Roger Schank’s Engines for Education organization to develop computational theories and models of command leadership, built on artificial intelligence (AI) technology, shaped by cognitive science insights, and driven by the functional demands of selected applications. The resulting theory and system—Applications of Computational Command Leadership AI Models (ACCLAIM)—will capitalize on observations and data on how real leaders think, communicate, and act. During Phase I we will gather data and prior theory on command leadership; elaborate our initial theories; identify promising applications; use those applications to clarify theory requirements; develop preliminary ACCLAIM designs suiting those requirements; characterize metrics and methods for evaluating ACCLAIM; and develop a Phase II plan to follow through on theory, design, and evaluation.

* Information listed above is at the time of submission. *

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