Relevance from an epistemic perspective
Artificial Intelligence - Special issue on relevance
Conditional independence in propositional logic
Artificial Intelligence
ISMIS '91 Proceedings of the 6th International Symposium on Methodologies for Intelligent Systems
Propositional independence: formula-variable independence and forgetting
Journal of Artificial Intelligence Research
A logical account of relevance
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Hidden uncertainty in the logical representation of desires
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
A logical study of partial entailment
Journal of Artificial Intelligence Research
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In this paper, we attempt to capture the notion of usefulness in propositional language. We believe that classical implication captures a certain kind of usefulness, and name it strict usefulness. We say that a formula P is strictly useful to a formula Q under a formula set Γif and only if P implies Q under Γ in classical propositional logic. We also believe that classical implication is too strict to capture the whole notion of usefulness. Therefore, we extend it in two ways. The first one is partial usefulness, which means that if P is true, then Q will be partially true under the background of Γ. The second one is probabilistic usefulness, which means that the probability of Q is true will increase by given P is true under Γ. This paper provides semantic definitions of them respectively in propositional language, and discusses the fundamental properties of them.