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Marshal: Maintaining Evolving Models

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX14CA40P
Agency Tracking Number: 145123
Amount: $124,904.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: H6.01
Solicitation Number: N/A
Timeline
Solicitation Year: 2014
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-06-20
Award End Date (Contract End Date): 2014-12-19
Small Business Information
211 N. First Street, Suite 300
Minneapolis, MN 55401-1480
United States
DUNS: 103477993
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Daniel Bryce
 Principal Investigator
 (435) 213-5776
 dbryce@sift.net
Business Contact
 Linda Holje
Title: Finance and Admin Official
Phone: (612) 226-5061
Email: lholje@sift.net
Research Institution
 Stub
Abstract

SIFT proposes to design and develop the Marshal system, a mixed-initiative tool for maintaining task models over the course of evolving missions. Marshal-enabled planning and scheduling systems will maintain task models so that they are in tighter correspondence with the current operating context. Marshal will provide a simple dialogue based interface to update models and affordances for incomplete or imprecise user inputs. Marshal will actively diagnose user created plans to identify and rank queries so that users can maintain the most relevant task model constraints.

Marshal's capabilities will stem from how it represents and reasons with a family of possible task model interpretations. As users add new constraints that may be incomplete, imprecise, or temporary, Marshal creates interpretations of the constraints. With user feedback, Marshal updates the interpretations to more closely match their intended task model. With a family of models, Marshal can compute the expectation that user plans are consistent. Marshal also computes diagnoses explaining which assumptions about the user's intended model lead to inconsistency. From the diagnoses, Marshal populates a queue of potential plan flaws that the user can address at their convenience through natural and informative dialogues. As users interact with Marshal, it automatically maintains task models so that they can better serve mission planners as missions evolve.

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

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