O IS NOT ENOUGH
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Publication:3395328
DOI10.1017/S1755020309090236zbMath1175.03017MaRDI QIDQ3395328
Rob Simmonds, Jeffrey Bruce Paris
Publication date: 26 August 2009
Published in: The Review of Symbolic Logic (Search for Journal in Brave)
Other nonclassical logic (03B60) Probability and inductive logic (03B48) Reasoning under uncertainty in the context of artificial intelligence (68T37)
Related Items (14)
Default consequence relations from topology and measure theory ⋮ When adjunction fails ⋮ Logical questions behind the lottery and preface paradoxes: lossy rules for uncertain inference ⋮ Rules of proof for maximal entropy inference ⋮ The logic of risky knowledge, reprised ⋮ Foundations of everyday practical reasoning ⋮ A PROBABILISTIC SEMANTICS FOR COUNTERFACTUALS. PART A ⋮ REWARD VERSUS RISK IN UNCERTAIN INFERENCE: THEOREMS AND SIMULATIONS ⋮ Qualitative probabilistic inference under varied entropy levels ⋮ Conditional probability in the light of qualitative belief change ⋮ A utility based evaluation of logico-probabilistic systems ⋮ Unnamed Item ⋮ New Horn Rules for Probabilistic Consequence: Is $$\mathrm{O}{+}$$ Enough? ⋮ Lossy Inference Rules and Their Bounds: A Brief Review
Cites Work
- Nonmonotonic reasoning, preferential models and cumulative logics
- What does a conditional knowledge base entail?
- On the logic of nonmonotonic conditionals and conditional probabilities
- The quantitative/qualitative watershed for rules of uncertain inference
- Nonmonotonic conditionals that behave like conditional probabilities above a threshold
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