Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting -- Application to Belief Update and Conservative Extension
June 29, 2018 Β· Declared Dead Β· π AAAI Conference on Artificial Intelligence
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Authors
Liangda Fang, Hai Wan, Xianqiao Liu, Biqing Fang, Zhaorong Lai
arXiv ID
1806.11304
Category
cs.AI: Artificial Intelligence
Citations
4
Venue
AAAI Conference on Artificial Intelligence
Last Checked
4 months ago
Abstract
Dependence is an important concept for many tasks in artificial intelligence. A task can be executed more efficiently by discarding something independent from the task. In this paper, we propose two novel notions of dependence in propositional logic: formula-formula dependence and formula forgetting. The first is a relation between formulas capturing whether a formula depends on another one, while the second is an operation that returns the strongest consequence independent of a formula. We also apply these two notions in two well-known issues: belief update and conservative extension. Firstly, we define a new update operator based on formula-formula dependence. Furthermore, we reduce conservative extension to formula forgetting.
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