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Continuous Interactive Learners for Mission Planning (CILEMP)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0570
Agency Tracking Number: N181-079-0430
Amount: $1,999,037.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N181-079
Solicitation Number: 18.1
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-09-10
Award End Date (Contract End Date): 2024-03-31
Small Business Information
174 Waterfront Street, Suite 310
National Harbor, MD 22153
United States
DUNS: 615336950
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Kalyan M Gupta
 (703) 321-6740
Business Contact
 Kalyan Moy Gupta
Phone: (855) 569-7373
Research Institution

A key problem with automated mission planning software is that their underlying domain models may be incomplete, imprecise, inaccurate, or inefficient, and may rapidly become obsolete because of evolving domains. These issues can adversely impact the quality and effectiveness of support offered by automated planning software. In this effort, we will address the planning domain knowledge acquisition problem and capability gap by researching and developing CILEMP, a software system for Continuous Interactive Learners for Mission Planning. Our objective is to develop and deliver a robust and innovative software solution at technology readiness level (TRL) 6 at the conclusion of the Phase II Option period. Our deliverable software system shall enable MCM Commanders to interactively acquire and learn domain models for hierarchical planning in continuous, temporal, uncertain, and adversarial environments. We will accomplish this with four tasks: i) develop CILEMP concept of operations for naval operations focusing on MCM desktop wargaming applications ii) research and develop CILEMP multi-strategy domain model learning algorithms for uncertain, adversarial environments, iv) architect and implement a domain general CILEMP software system that successfully acquires and updates planning domain models, and iv) demonstrate, test, and evaluate CILEMP software for its ability to improve automated operational planning performance.

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

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