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

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00024-04-C-4149
Agency Tracking Number: N032-0234
Amount: $69,292.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solitcitation Year: 2003
Solitcitation Topic Code: N03-207
Solitcitation Number: 2003.2
Small Business Information
ARCHITECTURE TECHNOLOGY CORP.
9971 Valley View Road, Eden Prairie, MN, 55344
Duns: 052062833
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Richard Bailly
 Sr. Systems Engineer
 (952) 829-5864
 rbailly@atcorp.com
Business Contact
 Kenneth Thurber
Title: President
Phone: (952) 829-5864
Email: 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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