Solving conflicts in information merging by a flexible interpretation of atomic propositions

DOI10.1016/j.artint.2011.04.001zbMath1226.68104OpenAlexW1967153084MaRDI QIDQ650523

Henri Prade, Steven Schockaert

Publication date: 25 November 2011

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.artint.2011.04.001

zbMATH Keywords

similarity-based reasoningpossibilistic logicinformation fusionprioritized knowledge basespenalty logic

Mathematics Subject Classification ID

Logic in artificial intelligence (68T27) Knowledge representation (68T30)

Related Items (4)

Editorial: Weighted logics for artificial intelligence -- an introductory discussion ⋮ Modelling incomplete information in Boolean games using possibilistic logic ⋮ Completing Symbolic Rule Bases Using Betweenness and Analogical Proportion ⋮ Realizing RCC8 networks using convex regions

Cites Work

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• Maintaining knowledge about temporal intervals
• Reasoning with partially ordered information in a possibilistic logic framework
• Hedges: A study in meaning criteria and the logic of fuzzy concepts
• \(\text{DA}^2\) merging operators
• Spatial reasoning in a fuzzy region connection calculus
• Reasoning under inconsistency: a forgetting-based approach
• An argumentation framework for merging conflicting knowledge bases
• A formal model of diagnostic inference. II. Algorithmic solution and application
• Nonmonotonic reasoning, preferential models and cumulative logics
• Epistemic entrenchment and possibilistic logic
• Nonmonotonic reasoning: From complexity to algorithms
• Possibilistic merging and distance-based fusion of propositional information
• Handbook of philosophical logic. Vol. 6
• A logical approach to interpolation based on similarity relations
• Propositional distances and compact preference representation
• Integration of weighted knowledge bases
• Qualitative probabilities for default reasoning, belief revision, and causal modeling
• On the semantics of fuzzy logic
• A consistency-based framework for merging knowledge bases
• Temporal reasoning about fuzzy intervals
• On inference from inconsistent premisses
• Temporal reasoning based on semi-intervals
• Rough sets
• The complexity of logic-based abduction
• Merging Information Under Constraints: A Logical Framework
• Logics of Formal Inconsistency
• The complexity class θp2: Recent results and applications in AI and modal logic
• Merging First-Order Knowledge Using Dilation Operators
• Upper and Lower Probabilities Induced by a Multivalued Mapping

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