Handling Uncertainty during Plan Recognition in Task-Oriented Consultation Systems

by   Bhavani Raskutti, et al.

During interactions with human consultants, people are used to providing partial and/or inaccurate information, and still be understood and assisted. We attempt to emulate this capability of human consultants; in computer consultation systems. In this paper, we present a mechanism for handling uncertainty in plan recognition during task-oriented consultations. The uncertainty arises while choosing an appropriate interpretation of a user?s statements among many possible interpretations. Our mechanism handles this uncertainty by using probability theory to assess the probabilities of the interpretations, and complements this assessment by taking into account the information content of the interpretations. The information content of an interpretation is a measure of how well defined an interpretation is in terms of the actions to be performed on the basis of the interpretation. This measure is used to guide the inference process towards interpretations with a higher information content. The information content for an interpretation depends on the specificity and the strength of the inferences in it, where the strength of an inference depends on the reliability of the information on which the inference is based. Our mechanism has been developed for use in task-oriented consultation systems. The domain that we have chosen for exploration is that of a travel agency.


page 1

page 2

page 3

page 4


Flexible Interpretations: A Computational Model for Dynamic Uncertainty Assessment

The investigations reported in this paper center on the process of dynam...

Some Reflections on the Set-based and the Conditional-based Interpretations of Statements in Syllogistic Reasoning

Two interpretations about syllogistic statements are described in this p...

Theory of higher order interpretations and application to Basic Feasible Functions

Interpretation methods and their restrictions to polynomials have been d...

Tuple Interpretations and Applications to Higher-Order Runtime Complexity

Tuple interpretations are a class of algebraic interpretation that subsu...

Analyzing Innermost Runtime Complexity Through Tuple Interpretations

Time complexity in rewriting is naturally understood as the number of st...

DAB Content Annotation and Receiver Hardware Control with XML

The Eureka-147 Digital Audio Broadcasting (DAB) standard defines the 'dy...

Probabilistic Interpretations for MYCIN's Certainty Factors

This paper examines the quantities used by MYCIN to reason with uncertai...

Please sign up or login with your details

Forgot password? Click here to reset