This report addresses the challenge of using auxiliary information I A to improve a given theory, encoded as a belief net BE . In contrast with many other "knowledge revision" systems, we deal with the situation where this I A may be imperfect , which means BE should not necessarily incorporate that information. Instead, we provide tools to help the expert decide how to use I A . After presenting objective criteria for measuring how much I A differs from BE , we discuss ways to evaluate whether this difference is statistically significant . We then provide tools to isolate the differences --- to tell the domain expert which parts of the belief net (e.g., which links, and/or which nodes) account for the discrepancy. Two of our to...
The quality of an expert system, it is argued in this paper, is determined by the quality of its kno...
Belief revision theory aims to describe how one should change one’s beliefs when they are contradict...
Intelligent agents require methods to revise their epistemic state as they acquire new information. ...
This paper surveys methods for representing and reasoning with imper-fect information. It opens with...
International audienceThis chapter argues that the qualifiers of imperfection in geographic informat...
International audienceThis paper investigates, several methods for coping with inconsistency caused ...
Introduction The body of beliefs (facts and rules) accumulated in the course of time by a knowledge...
AbstractThis article tries to clarify some aspects of the theory of belief functions especially with...
This chapter describes a multistrategy system that employs independent modules for deductive, abduct...
Belief revision is the process of rearranging a knowledge base to preserve global consistency whilst...
When a new piece of information contradicts a currently held belief, one has to modify the set of be...
One of the most important conditions for an agent to ensure that it selects the right plans for fulf...
Consider the following belief change/merging scenario. A group of information sources gives a sequen...
The paper addresses the important issue of how an expert makes their knowledge of a topic more cons...
The current paradigm of modelling uncertainty in expert systems knowledge bases using Certainty Fact...
The quality of an expert system, it is argued in this paper, is determined by the quality of its kno...
Belief revision theory aims to describe how one should change one’s beliefs when they are contradict...
Intelligent agents require methods to revise their epistemic state as they acquire new information. ...
This paper surveys methods for representing and reasoning with imper-fect information. It opens with...
International audienceThis chapter argues that the qualifiers of imperfection in geographic informat...
International audienceThis paper investigates, several methods for coping with inconsistency caused ...
Introduction The body of beliefs (facts and rules) accumulated in the course of time by a knowledge...
AbstractThis article tries to clarify some aspects of the theory of belief functions especially with...
This chapter describes a multistrategy system that employs independent modules for deductive, abduct...
Belief revision is the process of rearranging a knowledge base to preserve global consistency whilst...
When a new piece of information contradicts a currently held belief, one has to modify the set of be...
One of the most important conditions for an agent to ensure that it selects the right plans for fulf...
Consider the following belief change/merging scenario. A group of information sources gives a sequen...
The paper addresses the important issue of how an expert makes their knowledge of a topic more cons...
The current paradigm of modelling uncertainty in expert systems knowledge bases using Certainty Fact...
The quality of an expert system, it is argued in this paper, is determined by the quality of its kno...
Belief revision theory aims to describe how one should change one’s beliefs when they are contradict...
Intelligent agents require methods to revise their epistemic state as they acquire new information. ...