Intention is choice with commitment
Artificial Intelligence
Formulation of tradeoffs in planning under uncertainty
Formulation of tradeoffs in planning under uncertainty
A Model for Deliberation, Action, And Introspection
A Model for Deliberation, Action, And Introspection
Personalized Queries under a Generalized Preference Model
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
The local geometry of multiattribute tradeoff preferences
Artificial Intelligence
A survey on representation, composition and application of preferences in database systems
ACM Transactions on Database Systems (TODS)
Reasoning with conditional ceteris paribus preference statements
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Graphical models for preference and utility
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Robust planning in uncertain environments
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
AutoMed: an automated mediator for multi-issue bilateral negotiations
Autonomous Agents and Multi-Agent Systems
Algorithms for a nonmonotonic logic of preferences
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Frequent pattern mining with preferences–utility functions approach
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Conditional lexicographic orders in constraint satisfaction problems
CPAIOR'06 Proceedings of the Third international conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
Goal generation from possibilistic beliefs based on trust and distrust
DALT'09 Proceedings of the 7th international conference on Declarative Agent Languages and Technologies
Arguing about preferences and decisions
ArgMAS'10 Proceedings of the 7th international conference on Argumentation in Multi-Agent Systems
Motivation management in AGI systems
AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
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Goals, as typically conceived in AI planning, provide an insufficient basis for choice of action, and hence are deficient as the sole expression of an agent's objectives. Decision-theoretic utilities offer a more adequate basis, yet lack many of the computational advantages of goals. We provide a preferential semantics for goals that grounds them in decision theory and preserves the validity of some, but not all, common goal operations performed in planning. This semantic account provides a criterion for verifying the design of goal-based planning strategies, thus providing a new framework for knowledge-level analysis of planning systems.