DeepAI AI Chat
Log In Sign Up

A Hybrid Approach to Reasoning with Partially Elicited Preference Models

01/23/2013
by   Vu A. Ha, et al.
0

Classical Decision Theory provides a normative framework for representing and reasoning about complex preferences. Straightforward application of this theory to automate decision making is difficult due to high elicitation cost. In response to this problem, researchers have recently developed a number of qualitative, logic-oriented approaches for representing and reasoning about references. While effectively addressing some expressiveness issues, these logics have not proven powerful enough for building practical automated decision making systems. In this paper we present a hybrid approach to preference elicitation and decision making that is grounded in classical multi-attribute utility theory, but can make effective use of the expressive power of qualitative approaches. Specifically, assuming a partially specified multilinear utility function, we show how comparative statements about classes of decision alternatives can be used to further constrain the utility function and thus identify sup-optimal alternatives. This work demonstrates that quantitative and qualitative approaches can be synergistically integrated to provide effective and flexible decision support.

READ FULL TEXT

page 1

page 2

page 3

page 4

page 5

page 6

page 7

page 8

01/16/2013

A Qualitative Linear Utility Theory for Spohn's Theory of Epistemic Beliefs

In this paper, we formulate a qualitative "linear" utility theory for lo...
02/06/2013

Problem-Focused Incremental Elicitation of Multi-Attribute Utility Models

Decision theory has become widely accepted in the AI community as a usef...
06/30/2011

CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements

Information about user preferences plays a key role in automated decisio...
07/04/2012

Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation

Tackling the problem of ordinal preference revelation and reasoning, we ...
01/06/2022

Forming Predictive Features of Tweets for Decision-Making Support

The article describes the approaches for forming different predictive fe...
01/10/2013

Similarity Measures on Preference Structures, Part II: Utility Functions

In previous work citeHa98:Towards we presented a case-based approach to ...
07/04/2012

Efficient algorithm for estimation of qualitative expected utility in possibilistic case-based reasoning

We propose an efficient algorithm for estimation of possibility based qu...