Descriptor Revision for Conditionals: Literal Descriptors and
Conditional Preservation
- URL: http://arxiv.org/abs/2006.01444v1
- Date: Tue, 2 Jun 2020 08:21:33 GMT
- Title: Descriptor Revision for Conditionals: Literal Descriptors and
Conditional Preservation
- Authors: Kai Sauerwald, Jonas Haldimann, Martin von Berg, Christoph Beierle
- Abstract summary: Descriptor revision is a framework for addressing the problem of belief change.
In this article, we investigate the realisation of descriptor revision for a conditional logic.
We show how descriptor revision for conditionals can be characterised by a constraint satisfaction problem.
- Score: 2.580765958706854
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Descriptor revision by Hansson is a framework for addressing the problem of
belief change. In descriptor revision, different kinds of change processes are
dealt with in a joint framework. Individual change requirements are qualified
by specific success conditions expressed by a belief descriptor, and belief
descriptors can be combined by logical connectives. This is in contrast to the
currently dominating AGM paradigm shaped by Alchourr\'on, G\"ardenfors, and
Makinson, where different kinds of changes, like a revision or a contraction,
are dealt with separately. In this article, we investigate the realisation of
descriptor revision for a conditional logic while restricting descriptors to
the conjunction of literal descriptors. We apply the principle of conditional
preservation developed by Kern-Isberner to descriptor revision for
conditionals, show how descriptor revision for conditionals under these
restrictions can be characterised by a constraint satisfaction problem, and
implement it using constraint logic programming. Since our conditional logic
subsumes propositional logic, our approach also realises descriptor revision
for propositional logic.
Related papers
- An Encoding of Abstract Dialectical Frameworks into Higher-Order Logic [57.24311218570012]
This approach allows for the computer-assisted analysis of abstract dialectical frameworks.
Exemplary applications include the formal analysis and verification of meta-theoretical properties.
arXiv Detail & Related papers (2023-12-08T09:32:26Z) - Interpretable Regional Descriptors: Hyperbox-Based Local Explanations [0.7349727826230864]
This work introduces interpretable regional descriptors, or IRDs, for local, model-agnostic interpretations.
IRDs are hyperboxes that describe how an observation's feature values can be changed without affecting its prediction.
arXiv Detail & Related papers (2023-05-04T12:26:07Z) - Logical Satisfiability of Counterfactuals for Faithful Explanations in
NLI [60.142926537264714]
We introduce the methodology of Faithfulness-through-Counterfactuals.
It generates a counterfactual hypothesis based on the logical predicates expressed in the explanation.
It then evaluates if the model's prediction on the counterfactual is consistent with that expressed logic.
arXiv Detail & Related papers (2022-05-25T03:40:59Z) - A General Framework for Modelling Conditional Reasoning -- Preliminary
Report [4.340338299803562]
We introduce and investigate here a formalisation for conditionals that allows the definition of a broad class of reasoning systems.
This framework covers the most popular kinds of conditional reasoning in logic-based KR.
arXiv Detail & Related papers (2022-02-15T17:33:39Z) - A Formalisation of Abstract Argumentation in Higher-Order Logic [77.34726150561087]
We present an approach for representing abstract argumentation frameworks based on an encoding into classical higher-order logic.
This provides a uniform framework for computer-assisted assessment of abstract argumentation frameworks using interactive and automated reasoning tools.
arXiv Detail & Related papers (2021-10-18T10:45:59Z) - CARE: Coherent Actionable Recourse based on Sound Counterfactual
Explanations [0.0]
This paper introduces CARE, a modular explanation framework that addresses the model- and user-level desiderata.
As a model-agnostic approach, CARE generates multiple, diverse explanations for any black-box model.
arXiv Detail & Related papers (2021-08-18T15:26:59Z) - Controllable Summarization with Constrained Markov Decision Process [50.04321779376415]
We study controllable text summarization which allows users to gain control on a particular attribute.
We propose a novel training framework based on Constrained Markov Decision Process (CMDP)
Our framework can be applied to control important attributes of summarization, including length, covered entities, and abstractiveness.
arXiv Detail & Related papers (2021-08-07T09:12:53Z) - Deep Just-In-Time Inconsistency Detection Between Comments and Source
Code [51.00904399653609]
In this paper, we aim to detect whether a comment becomes inconsistent as a result of changes to the corresponding body of code.
We develop a deep-learning approach that learns to correlate a comment with code changes.
We show the usefulness of our approach by combining it with a comment update model to build a more comprehensive automatic comment maintenance system.
arXiv Detail & Related papers (2020-10-04T16:49:28Z) - Online Invariance Selection for Local Feature Descriptors [93.32949876169785]
A limitation of current feature descriptors is the trade-off between generalization and discriminative power.
We propose to overcome this limitation with a disentanglement of invariance in local descriptors and with an online selection of the most appropriate invariance given the context.
We demonstrate that our method can boost the performance of current descriptors and outperforms state-of-the-art descriptors in several matching tasks.
arXiv Detail & Related papers (2020-07-17T14:08:22Z) - Revision by Conditionals: From Hook to Arrow [2.9005223064604078]
We introduce a 'plug and play' method for extending any iterated belief revision operator to the conditional case.
The flexibility of our approach is achieved by having the result of a conditional revision determined by that of a plain revision by its corresponding material conditional.
arXiv Detail & Related papers (2020-06-29T05:12:30Z) - An ASP semantics for Constraints involving Conditional Aggregates [9.289905977910378]
We elaborate upon the formal foundations of hybrid Answer Set Programming (ASP)
We extend its underlying logical framework with aggregate functions over constraint values and variables.
We put some emphasis on logic programs with linear constraints and show how common ASP aggregates can be regarded as particular cases of so-called conditional linear constraints.
arXiv Detail & Related papers (2020-02-17T12:25:01Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.