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| Decision
support systems (DSS) are currently used in a wide variety of
applications ranging from financial planning, human resources
management, weather prediction systems and strategic planning
during military operation. Complex and dynamic problem domains
that are difficult to model using the components of a traditional
DSS characterize modern applications. Augmenting DSS with autonomous
intelligent agents enables the human user and/or machine the ability
to enhance traditional DSS components with knowledge that is dynamically
acquired from the real-time environment. We propose to initiate
the research in this area by adopting a innovative system architecture
called the Intelligent Agent Enabled Decision Support (IAEDS)
proposed by the PIs, Dasgupta and Khazanchi (2002). This architecture
proposes employing mobile intelligent agents to make strategic
decisions for humans under critical conditions aided by an adaptive
decision support system. The architecture comprises unique features
such as a “learning engine” and an “intelligent
applet base” in its intelligent agent layer and the traditional
components of decision support such as model management, an environmental
database module, and a domain-specific database module in its
decision support layer. As a part of this programmatic research
endeavor, we propose to demonstrate the IAEDS architecture with
the design and implementation of a prototype application. |
| Initiative
Leader |
Prithviraj
Dasgupta
Deepak
Khazanchi |
| Current Project |
- Dasgupta,
P. and Khazanchi, D.
(2002). "Intelligent Agent-Based Decision Support Research
Program". Qualified for second round of NSF EPSCoR, Nebraska.
- Dasgupta,
P. and Khazanchi, D. (2003).
"Adaptive Decision Support Using Mobile Intelligent Agents".
NSF ITR Proposal.
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| Finished Project |
- Dasgupta,
P. and Khazanchi, D. (2002)."Adaptive
Decision Support for Dynammic Situations Using Mobile Intelligent
Agents". Submitted to CACM for review, 9/2002.
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