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Details of Grant 

EPSRC Reference: GR/M89126/01
Title: AUTOMATED PROTOTYPE INDUCTION
Principal Investigator: Lawry, Professor J
Other Investigators:
Baldwin, Professor J
Researcher Co-Investigators:
Project Partners:
Department: Engineering Mathematics and Technology
Organisation: University of Bristol
Scheme: Standard Research (Pre-FEC)
Starts: 04 October 1999 Ends: 03 October 2002 Value (£): 50,831
EPSRC Research Topic Classifications:
Artificial Intelligence
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
The need to learn concepts and rules automatically from data is of central importance to a variety of developing technologies. Businesses like supermarkets collect and store vast amounts of data about their customers hoping to learn prototypical characteristics of certain types of consumers. Autonomous agents must be used to cope with the complexity and large quantity of information available on the www. Such an agent will need to learn prototypes relating to the behaviour, preferences and requirements of those it interacts with. A related issue is that of learning user-profiles according to which intelligent systems can respond to the moods and preferences of their users.This project will use probabilistic and fuzzy approaches to learn prototypes automatically from data. The fuzzy methods will be based on mass assignment theory and will be used to give conceptual descriptions of the prototypes enabling rule-based representations to be determined. Mass assignment theory allows for the coherent and unified treatment of both probabilistic and fuzzy uncertainty.The project will provide software for automatic prototype induction that can be used in any of the contexts described above and will include a suitable user-friendly front end.
Key Findings
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Summary
Date Materialised
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Further Information:  
Organisation Website: http://www.bris.ac.uk