Readings in nonmonotonic reasoning
Readings in nonmonotonic reasoning
Constructive belief and rational representation
Computational Intelligence
Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
Probabilistic semantics for nonmonotonic reasoning: a survey
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Decision analysis and expert systems
AI Magazine
A Maximum Entropy Approach to Nonmonotonic Reasoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
An axiomatic treatment of three qualitative decision criteria
Journal of the ACM (JACM)
Parameters for Utilitarian Desires in a Qualitative Decision Theory
Applied Intelligence
Logical Preference Representation and Combinatorial Vote
Annals of Mathematics and Artificial Intelligence
Hi-index | 0.00 |
In recent years considerable effort has gone into understanding default reasoning. Most of this effort concentrated on the question of entailment, i.e., what conclusions are warranted by a knowledge-base of defaults Surprisingly few works formally examine the general role of defaults. We argue that an examination of this role is necessary in order to understand defaults, and suggest a concrete role for defaults Defaults simplify our derision-making process allowing us to make fast, approximately optimal decisions by ignoring certain possible states. In order to formalize this approach, we examine decision making in the framework of decision theory. We use probability and utility to measure the impact of possible states on the decision making process. We accept a default if it ignores states with small impact according to our measure. We motivate our choice of measures and show that the resulting formalization of defaults satisfies desired properties of defaults, namely cumulative reasoning. Finally, we compare our approach with Poole's decision-theoretic defaults and show how both can be combined to form an attractive framework for reasoning about decisions.