Intelligent Course of Action Learning System (iCOALS)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-14-C-2423
Agency Tracking Number: F121-004-1643
Amount: $749,773.00
Phase: Phase II
Program: SBIR
Awards Year: 2013
Solicitation Year: 2012
Solicitation Topic Code: AF121-004
Solicitation Number: 2012.1
Small Business Information
Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000, Woburn, MA, 01801-6562
DUNS: 000000000
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Robert Smith
 Group Leader, ICAN
 (781) 933-5355
Business Contact
 Jay Miselis
Title: Director of Finance
Phone: (781) 933-5355
Research Institution
ABSTRACT: SSCI proposes creation of an Intelligent Course of Action Learning System (iCOALS), building on extensive past experience in learning advanced fighter combat maneuvers from simulation. By learning from repeated simulations, robust strategies can be constructed that allocate a complete action repertoire (including the mission-specific, limited range of weapons, countermeasures, associated maneuvers, etc.) to multiple autonomous and semi-autonomous vehicles in mission scenarios. By utilizing SSCIs unique genetics-based rule learning (GBRL) techniques, these strategies take the form of rule sets, which can then be used for real-time reaction to evolving threats during mission execution. By evolving against a range of simulated mission conditions, the resulting rule sets will be robust against a corresponding range of IADS behaviors. This robustness can be further advanced by two-sided learning in the simulation, where the IADS also evolves strategy rule sets. iCOALS will encode strategies as rule sets that are highly human-readable. This will enhance the ability for human intervention in a semi-autonomous execution mode. The proposed Phase II will refine the vehicles models used in iCOALS, conduct additional experimentation and testing on new mission scenarios, and deliver a framework ready for integration with sponsor-provided simulation resources and other mission and simulation systems. BENEFIT: iCOALS is being designed as a modular system, which can find application in deriving reactive behaviors for a range of multi-vehicle mission systems. Such behaviors are essential if autonomous and semi-autonomous systems are to be deployed in any military or commercial domain that is potentially lethal, dangerous, or inconvenient for onboard human operators. As such, this is a critical element of SSCIs autonomous systems focus, which is being deployed in marine, air, and ground-based autonomous systems.

* information listed above is at the time of submission.

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