The quantitative/qualitative watershed for rules of uncertain inference

DOI10.1007/s11225-007-9061-xzbMath1130.03022OpenAlexW2172126546MaRDI QIDQ2454645

David Makinson, James Hawthorne

Publication date: 16 October 2007

Published in: Studia Logica (Search for Journal in Brave)

Full work available at URL: http://eprints.lse.ac.uk/3361/1/The_quantitative-qualitative_watershed_for_rules_%28LSERO%29.pdf

zbMATH Keywords

nonmonotonic logicconditional probabilitiesconsequence relationsuncertain inferencepreference modelsHorn rulesprobabilistic thresholds

Mathematics Subject Classification ID

Other nonclassical logic (03B60) Philosophical and critical aspects of logic and foundations (03A05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (26)

Default consequence relations from topology and measure theory ⋮ DIFFERENCE-MAKING CONDITIONALS AND THE RELEVANT RAMSEY TEST ⋮ Jumping to Conclusions ⋮ When adjunction fails ⋮ Logical questions behind the lottery and preface paradoxes: lossy rules for uncertain inference ⋮ Semantical investigations into nonmonotonic and probabilistic logics ⋮ Situated conditional reasoning ⋮ The logic of risky knowledge, reprised ⋮ Foundations of everyday practical reasoning ⋮ A PROBABILISTIC SEMANTICS FOR COUNTERFACTUALS. PART A ⋮ Applied logic without psychologism ⋮ REWARD VERSUS RISK IN UNCERTAIN INFERENCE: THEOREMS AND SIMULATIONS ⋮ Properties and interrelationships of skeptical, weakly skeptical, and credulous inference induced by classes of minimal models ⋮ Qualitative probabilistic inference under varied entropy levels ⋮ Probabilistic knowledge representation using the principle of maximum entropy and Gröbner basis theory ⋮ Reasoning about evidence ⋮ Conditional probability in the light of qualitative belief change ⋮ A primer on rational consequence relations, Popper functions, and their ranked structures ⋮ A utility based evaluation of logico-probabilistic systems ⋮ Probability propagation in generalized inference forms ⋮ O IS NOT ENOUGH ⋮ SIZE AND LOGIC ⋮ Nonmonotonic reasoning from conditional knowledge bases with system W ⋮ Unnamed Item ⋮ New Horn Rules for Probabilistic Consequence: Is $$\mathrm{O}{+}$$ Enough? ⋮ Lossy Inference Rules and Their Bounds: A Brief Review

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Foundations of conditional logic
• Nonmonotonic reasoning, preferential models and cumulative logics
• What does a conditional knowledge base entail?
• Four probability-preserving properties of inferences
• On the logic of nonmonotonic conditionals and conditional probabilities
• Possibility theory, probability theory and multiple-valued logics: a clarification
• Nonmonotonic conditionals that behave like conditional probabilities above a threshold
• Conditionals and consequences
• Injective Models and Disjunctive Relations
• Beyond rational monotony: some strong non-horn rules for nonmonotonic inference relations

This page was built for publication: The quantitative/qualitative watershed for rules of uncertain inference