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AIC Seminar Series

Towards Reasoning with Partial Goal Satisfaction in Intelligent Agents

Neil Yorke-SmithArtificial Intelligence Center, SRI International[Home Page]

Date:  2010-08-26 at 16:00

Location:  EJ228 (SRI E building). slides via WebEx from 3:45pm on, sound at 1-888-355-1249, 749045  (Directions)

   Abstract

A model of agency that supposes goals are either achieved fully or not achieved at all can be a poor approximation of scenarios arising from the real world. In real domains of application, goals are achieved over time. At any point, a goal has reached a certain level of satisfaction, from nothing to full (completely achieved). This talk presents a framework for representing partial goal satisfaction in an intelligent agent. The richer representation enables agents to reason about partial satisfaction of the goals they are pursuing or that they are considering. In contrast to prior work on partial satisfaction in the agents literature which investigates partiality from a logical perspective, we propose a higher-level framework based on metric functions that represent, among other things, the progress that has been made towards achieving a goal. We conclude by illustrating the kinds of reasoning enabled on the basis of our framework for partial goal satisfaction. This is joint work with M. Birna van Riemsdijk.

   Bio for Neil Yorke-Smith

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