Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model
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Abstract (arXiv)
In this paper we investigate the relationships between a multipreferential semantics for defeasible reasoning in knowledge representation and a deep neural network model. Weighted knowledge bases for description logics are considered under a "concept-wise" multipreference semantics. The semantics is further extended to fuzzy interpretations and exploited to provide a preferential interpretation of Multilayer Perceptrons.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Dec 2020.
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Citing papers per year: 2021: 5; 2022: 2; 2023: 3; 2024: 1.
11 papers.
- 2023SpArX: Sparse Argumentative Explanations for Neural Networks [Technical Report]cited by 18
- 2021A conditional, a fuzzy and a probabilistic interpretation of self-organising mapscited by 6
- 2021On the KLM properties of a fuzzy DL with Typicalitycited by 6
- 2022An ASP approach for reasoning on neural networks under a finitely many-valued semantics for weighted conditional knowledge basescited by 4
- 2021Weighted Conditional EL{^}bot Knowledge Bases with Integer Weights: an ASP Approachcited by 2
- 2023Complexity and scalability of defeasible reasoning in many-valued weighted knowledge bases with typicalitycited by 2
- 2021From Weighted Conditionals of Multilayer Perceptrons to Gradual Argumentation and Backcited by 1
- 2022Many-valued Argumentation, Conditionals and a Probabilistic Semantics for Gradual Argumentationcited by 1
- 2023A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicalitycited by 1
- 2021From Common Sense Reasoning to Neural Network Models through Multiple Preferences: an overviewcited by 0
- 2024Temporal Many-valued Conditional Logics: a Preliminary Reportcited by 0
- 2024Temporal Many-valued Conditional Logics: a Preliminary Report6 Sep 2024
- 2023A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality29 Apr 2023
- 2023Complexity and scalability of defeasible reasoning in many-valued weighted knowledge bases with typicality8 Mar 2023
- 2023SpArX: Sparse Argumentative Explanations for Neural Networks [Technical Report]23 Jan 2023
- 2022Many-valued Argumentation, Conditionals and a Probabilistic Semantics for Gradual Argumentation14 Dec 2022
- 2022An ASP approach for reasoning on neural networks under a finitely many-valued semantics for weighted conditional knowledge bases2 Feb 2022
- 2021From Weighted Conditionals of Multilayer Perceptrons to Gradual Argumentation and Back7 Oct 2021
- 2021Weighted Conditional EL{^}bot Knowledge Bases with Integer Weights: an ASP Approach17 Sep 2021
- 2021From Common Sense Reasoning to Neural Network Models through Multiple Preferences: an overview10 Jul 2021
- 2021On the KLM properties of a fuzzy DL with Typicality1 Jun 2021
- 2021A conditional, a fuzzy and a probabilistic interpretation of self-organising maps11 Mar 2021