CP-nets: Reasoning and Consistency Testing.

Carmel Domshlak; Ronen I. Brafman

CP-nets: Reasoning and Consistency Testing.

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Preference elicitation and preference representation play an important role in any effort to automate decision making. Unfortunately, few tools exist for preference elicitation that allow the decision maker to conveniently structure its preferences and the decision engine to efficiently reason about these preferences. One of the only such tools is CP-nets, which use a graphical representation that is superficially similar to Bayesian networks. Despite a number of interesting applications, most of the major theoretical questions related to CP nets remain open.

Original language	English
Title of host publication	Proceedings of the Eights International Conference on Principles and Knowledge Representation and Reasoning
Publisher	Morgan Kaufmann Publishers, Inc.
Pages	121-132
Number of pages	12
ISBN (Print)	9781558605541
State	Published - Apr 2002

Cite this

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N2 - Preference elicitation and preference representation play an important role in any effort to automate decision making. Unfortunately, few tools exist for preference elicitation that allow the decision maker to conveniently structure its preferences and the decision engine to efficiently reason about these preferences. One of the only such tools is CP-nets, which use a graphical representation that is superficially similar to Bayesian networks. Despite a number of interesting applications, most of the major theoretical questions related to CP nets remain open.

AB - Preference elicitation and preference representation play an important role in any effort to automate decision making. Unfortunately, few tools exist for preference elicitation that allow the decision maker to conveniently structure its preferences and the decision engine to efficiently reason about these preferences. One of the only such tools is CP-nets, which use a graphical representation that is superficially similar to Bayesian networks. Despite a number of interesting applications, most of the major theoretical questions related to CP nets remain open.

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BT - Proceedings of the Eights International Conference on Principles and Knowledge Representation and Reasoning

PB - Morgan Kaufmann Publishers, Inc.

ER -

CP-nets: Reasoning and Consistency Testing.

Abstract

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