SBIR/STTR Research Award

STTR Phase I: Disciple Technologies for Development, Utilization, and Maintenance of Regulatory Knowledge Bases

Award identifier 2de1a021d15a56b05ece117bdf386d52aeedb911511deb5c4212b7614040827cAwarding agency National Science Foundation

Award amount

$99,998

Program and phase

STTR · Phase I

Award year

2006

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Exprentis, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Q3MMKDS4T5Q3
Solicitation number
NSF 05-605
Topic code
EO

Research abstract

This Small Business Technology Transfer Research Phase I project will perform feasibility studies of using apprenticeship learning and interactive reasoning methods, and the Disciple Technologies developed by the George Mason University Learning Agents Center, to build, utilize, and maintain regulatory knowledge bases for dynamic financial services organizations. The Disciple learning software agent can be taught directly by an expert to become a knowledgebased assistant. The expert interacts directly with a Disciple agent to teach it to solve problems in a way that is similar to how the expert would teach a human apprentice, by giving the agent examples and explanations, as well as by supervising and correcting its behavior. The agent learns from the expert by generalizing the examples and the explanations to build its knowledge base. Disciple has been applied to military challenge problems and to the intelligence analysis. The objective of this STTR Phase I effort is to use the Disciple technologies to build a prototype regulatory knowledge base for a financial services firm. The prototype will help to conduct a feasibility analysis of the Disciple technologies for these type of application domains. Every modern enterprise must deal not only with local and global competitors, but also with local and global regulations. These regulations put tremendous burden on business operations causing workers and information systems to comply with many policies stored in a large number of ever changing documents. The current knowledge management technologies and software tools allow efficient organization and retrieval of documents, but they cannot offer efficient customized procedures to deal with specific business cases. Therefore, there is a need for flexible knowledge-based systems, like Disciple, that will offer help in solving specific cases while complying with all the rules and regulations. These systems should also be capable of acquiring reasoning skills of their users to adapt their capabilities to deal with new cases. Based on the prototype built during Phase I, Disciple abilities to support development, utilization, and maintenance of regulatory knowledge bases will be evaluated. The prototype will also help to identify research and development goals for Phase II in the following areas: quantitative reasoning and learning capabilities, knowledge base versioning, sharing, and auditing functions, and interfacing with database engines.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

2 SBIR/STTR records share this UEI (2006–2008). Reported award amounts total $599,998. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: National Science Foundation

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.