Artificial Intelligence
Generating feasible schedules under complex metric constraints
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Artificial Intelligence - Special volume on planning and scheduling
Intelligent planning: a decomposition and abstraction based approach
Intelligent planning: a decomposition and abstraction based approach
Machine Learning
Pushing the envelope: planning, propositional logic, and stochastic search
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Planning for temporally extended goals
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Efficient decision-theoretic planning: techniques and empirical analysis
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
The Belief-Desire-Intention Model of Agency
ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
Applied system simulation
Intention reconciliation in the context of teamwork: an initial empirical investigation
CIA'99 Proceedings of the 3rd international conference on Cooperative information agents III
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The theory of rational choice, as formulated in the economic and philosophical literature, assumes that agents evaluate alternative actions by reference to a probability distribution over their possible outcomes together with a utility function defined on those outcomes: in the simplest case, the agent combines probability and utility into a notion of expected utility defined over actions, and then chooses some action whose expected utility is maximal. A good deal of attention has been devoted to the structure of those utility functions that might actually be thought to underlie human decision making [9], and the more applied literature on decision analysis has focused on the task of eliciting such preference information from humans [8]. When we attempt to build artificial agents that are capable of making rational decisions, we likewise need to provide them with techniques for evaluating the options they encounter.