Massively Distributed Problem-Solving (MDPS)

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$98,998.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
N10PC20060
Award Id:
96711
Agency Tracking Number:
09SB3-0060
Solicitation Year:
n/a
Solicitation Topic Code:
DARPA 09-004
Solicitation Number:
n/a
Small Business Information
6022 Constitution Avenue NE, Albuquerque, NM, 87110
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
094142122
Principal Investigator:
Kshanti Greene
Research Manager
(505) 255-8611
kshanti_greene@mgtsciences.com
Business Contact:
Marlene Blemel
President
(505) 255-8611
kay_blemel@mgtsciences.com
Research Institution:
n/a
Abstract
We propose a unique system for massively distributed social problem-solving that will enable large groups of individuals to form solutions to complex, multi-factor problems. Our minimalist framework, called the ePluribus Solver, will leverage the viral nature of communication in existing social networks to engage individuals in the problem solving process and allow them to develop their own emergent processes. The ePluribus Solver enables users to decompose complex problems into their component parts and work on these parts asynchronously, and then recomposes the parts to form a collective solution from the input of many problem-solvers. The ePluribus Solver will manage the problem solving process made more complex by its large-scale social aspect, while allowing the humans to do what they do best- reasoning. We leverage a Blackboard system developed Management Sciences to form the distributed, asynchronous problem-solving foundation, enabling us to concentrate on the high-risk social aspects of the proposed system. The Technosocial Predictive Analytics initiative at Pacific Northwest National Labs joins our team to provide an interface to their gaming engine that will increase the engagement and exploratory capabilities of our human problem-solvers. The University of New Mexico will develop algorithms to combine the contributions of many diverse individuals.

* information listed above is at the time of submission.

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