User-centric principles in automated decision making

Authors:
Ingrid Nunes;Simon Miles;Michael Luck;Carlos J. P. de Lucena
Affiliations:
LES, Departamento de Informática, PUC-Rio, Rio de Janeiro, Brazil,Department of Informatics, King's College London, London, United Kingdom;Department of Informatics, King's College London, London, United Kingdom;Department of Informatics, King's College London, London, United Kingdom;LES, Departamento de Informática, PUC-Rio, Rio de Janeiro, Brazil
Venue:
SBIA'12 Proceedings of the 21st Brazilian conference on Advances in Artificial Intelligence
Year:
2012

Citing 6
Cited 1

Semiring-based constraint satisfaction and optimization

Journal of the ACM (JACM)
A framework for expressing and combining preferences

SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Preference formulas in relational queries

ACM Transactions on Database Systems (TODS)
Efficient and non-parametric reasoning over user preferences

User Modeling and User-Adapted Interaction
CP-nets: a tool for representing and reasoning with conditional ceteris paribus preference statements

Journal of Artificial Intelligence Research
On graphical modeling of preference and importance

Journal of Artificial Intelligence Research

Transparent provenance derivation for user decisions

IPAW'12 Proceedings of the 4th international conference on Provenance and Annotation of Data and Processes

Quantified Score

Hi-index	0.00

Visualization

Abstract

Natural-language preference expressions, not yet exploited by existing preference reasoning approaches, match the way users express preferences in many scenarios and potentially improve automated decision making. Further, the preferences provided are often not sufficient to make a choice on behalf of users, as trade-offs are resolved with psychological processes employed in light of available options. We thus propose a decision making technique that reasons about preferences expressed in a user-centric language and incorporates principles of trade-off contrast and extremeness aversion, as in human decision-making.