Communications of the ACM
The society of mind
Reasoning about change: time and causation from the standpoint of artificial intelligence
Reasoning about change: time and causation from the standpoint of artificial intelligence
Decision theory in expert systems and artificial intelligence
International Journal of Approximate Reasoning
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
The ecology of computation
Intelligent decision systems
Constructive belief and rational representation
Computational Intelligence
Quantitative results concerning the utility of explanation-based learning
Artificial Intelligence
Formulation of tradeoffs in planning under uncertainty
Formulation of tradeoffs in planning under uncertainty
Impediments to Universal preference-based default theories
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Tractable decision-analytic control
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Control of problem solving: principles and architecture
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
A Model for Deliberation, Action, And Introspection
A Model for Deliberation, Action, And Introspection
A clash of intuitions: the current state of nonmonotonic multiple inheritance systems
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Reasoning, metareasoning, and mathematical truth: studies of theorem proving under limited resources
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
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The economic theory of rationality promises to equal mathematical logic in its importance for the mechanization of reasoning. We survey the growing literature on how the basic notions of probability, utility, and rational choice, coupled with practical limitations on information and resources, influence the design and analysis of reasoning and representation systems.