Negative and positive explanations in expert systems
MC Rousset, B Safar - Applied Artificial Intelligence an …, 1987 - Taylor & Francis
MC Rousset, B Safar
Applied Artificial Intelligence an International Journal, 1987•Taylor & FrancisThis paper presents an explanation module implemented in the Computer Science
Department of the University of Orsay. It was designed to be used after a session with an
expert system and to answer two types of questions: why does some fact have a particular
value (deduced by the expert system in the session) and why does some fact not have a
particular value (after the expert system has given a value different from the one the user
expected)? The answers to these questions are referred to as positive and negative …
Department of the University of Orsay. It was designed to be used after a session with an
expert system and to answer two types of questions: why does some fact have a particular
value (deduced by the expert system in the session) and why does some fact not have a
particular value (after the expert system has given a value different from the one the user
expected)? The answers to these questions are referred to as positive and negative …
Abstract
This paper presents an explanation module implemented in the Computer Science Department of the University of Orsay. It was designed to be used after a session with an expert system and to answer two types of questions: why does some fact have a particular value (deduced by the expert system in the session) and why does some fact not have a particular value (after the expert system has given a value different from the one the user expected) ? The answers to these questions are referred to as positive and negative explanations, respectively.
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