Multi-Agent System Inter-component Dependency Identification Tool (MAS-IDI)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,292.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
N00024-04-C-4149
Agency Tracking Number:
N032-0234
Solicitation Year:
2003
Solicitation Topic Code:
N03-207
Solicitation Number:
2003.2
Small Business Information
ARCHITECTURE TECHNOLOGY CORP.
9971 Valley View Road, Eden Prairie, MN, 55344
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
052062833
Principal Investigator:
Richard Bailly
Sr. Systems Engineer
(952) 829-5864
rbailly@atcorp.com
Business Contact:
Kenneth Thurber
President
(952) 829-5864
kthurber@atcorp.com
Research Institution:
n/a
Abstract
This Small Business Innovation Research Phase I Project will develop an innovative intelligent multi-agent architecture that provides a basic toolset for modeling dynamic, distributed, and adaptive resource allocation across information systems. In our approach intelligent agents are assigned to model representative resources within a system. For a given failure mode, these interconnected agents collaborate and negotiate among their peer agents and higher level agents to reach an agreement on the state of an environment and propose resource allocation changes given the anticipated effects on the environment. This is the basic definition of the concept of Multi-Agent Systems.

* information listed above is at the time of submission.

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