Lexicographic Logic: a Many-valued Logic for Preference Representation
- URL: http://arxiv.org/abs/2012.10940v1
- Date: Sun, 20 Dec 2020 14:42:04 GMT
- Title: Lexicographic Logic: a Many-valued Logic for Preference Representation
- Authors: Angelos Charalambidis, Giorgos Papadimitriou, Panos Rondogiannis,
Antonis Troumpoukis
- Abstract summary: We propose lexicographic logic, an extension of classical propositional logic that can express a variety of preferences.
We argue that the new logic is an effective formalism for ranking query results according to the satisfaction level of user preferences.
- Score: 1.5484595752241122
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Logical formalisms provide a natural and concise means for specifying and
reasoning about preferences. In this paper, we propose lexicographic logic, an
extension of classical propositional logic that can express a variety of
preferences, most notably lexicographic ones. The proposed logic supports a
simple new connective whose semantics can be defined in terms of finite lists
of truth values. We demonstrate that, despite the well-known theoretical
limitations that pose barriers to the quantitative representation of
lexicographic preferences, there exists a subset of the rational numbers over
which the proposed new connective can be naturally defined. Lexicographic logic
can be used to define in a simple way some well-known preferential operators,
like "$A$ and if possible $B$", and "$A$ or failing that $B$". Moreover, many
other hierarchical preferential operators can be defined using a systematic
approach. We argue that the new logic is an effective formalism for ranking
query results according to the satisfaction level of user preferences.
Related papers
- A Primer for Preferential Non-Monotonic Propositional Team Logics [0.0]
We show that team-based propositional logics naturally give rise to cumulative non-monotonic entailment relations.
Motivated by the non-classical interpretation of disjunction in team semantics, we give a precise characterization for preferential models for propositional dependence logic.
arXiv Detail & Related papers (2024-05-11T09:53:15Z) - Description Logics Go Second-Order -- Extending EL with Universally
Quantified Concepts [0.0]
We focus on the extension of description logic $mathcalEL$.
We show that for a useful fragment of the extension, the conclusions entailed by the different semantics coincide.
For a slightly smaller, but still useful, fragment, we were also able to show decidability of the extension.
arXiv Detail & Related papers (2023-08-16T09:37:38Z) - Zero-Shot Classification by Logical Reasoning on Natural Language
Explanations [56.42922904777717]
We propose the framework CLORE (Classification by LOgical Reasoning on Explanations)
CLORE parses explanations into logical structures and then explicitly reasons along thess structures on the input to produce a classification score.
We also demonstrate that our framework can be extended to zero-shot classification on visual modality.
arXiv Detail & Related papers (2022-11-07T01:05:11Z) - Discourse-Aware Graph Networks for Textual Logical Reasoning [142.0097357999134]
Passage-level logical relations represent entailment or contradiction between propositional units (e.g., a concluding sentence)
We propose logic structural-constraint modeling to solve the logical reasoning QA and introduce discourse-aware graph networks (DAGNs)
The networks first construct logic graphs leveraging in-line discourse connectives and generic logic theories, then learn logic representations by end-to-end evolving the logic relations with an edge-reasoning mechanism and updating the graph features.
arXiv Detail & Related papers (2022-07-04T14:38:49Z) - Strong Equivalence of Logic Programs with Ordered Disjunction: a Logical
Perspective [1.160208922584163]
Logic Programs with Ordered Disjunction (LPODs) extend classical logic programs with the capability of expressing preferential disjunctions.
In this paper we obtain a purely logical characterization of strong equivalence of LPODs as logical equivalence in a four-valued logic.
We provide a new proof of the coNP-completeness of strong equivalence for LPODs, which has an interest in its own right since it relies on the special structure of such programs.
arXiv Detail & Related papers (2022-05-10T13:33:32Z) - Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks [65.23508422635862]
We propose learning rules with the recently proposed logical neural networks (LNN)
Compared to others, LNNs offer strong connection to classical Boolean logic.
Our experiments on standard benchmarking tasks confirm that LNN rules are highly interpretable.
arXiv Detail & Related papers (2021-12-06T19:38:30Z) - A Logical Characterization of the Preferred Models of Logic Programs
with Ordered Disjunction [1.7403133838762446]
We provide a novel, model-theoretic semantics for Logic Programs with Ordered Disjunction (LPODs)
We demonstrate that the proposed approach overcomes the shortcomings of the traditional semantics of LPODs.
New approach can be used to define the semantics of a natural class of logic programs that can have both ordered and classical disjunctions in the heads of clauses.
arXiv Detail & Related papers (2021-08-07T05:36:12Z) - Logic-Driven Context Extension and Data Augmentation for Logical
Reasoning of Text [65.24325614642223]
We propose to understand logical symbols and expressions in the text to arrive at the answer.
Based on such logical information, we put forward a context extension framework and a data augmentation algorithm.
Our method achieves the state-of-the-art performance, and both logic-driven context extension framework and data augmentation algorithm can help improve the accuracy.
arXiv Detail & Related papers (2021-05-08T10:09:36Z) - Foundations of Reasoning with Uncertainty via Real-valued Logics [70.43924776071616]
We give a sound and strongly complete axiomatization that can be parametrized to cover essentially every real-valued logic.
Our class of sentences are very rich, and each describes a set of possible real values for a collection of formulas of the real-valued logic.
arXiv Detail & Related papers (2020-08-06T02:13:11Z) - Higher-order Logic as Lingua Franca -- Integrating Argumentative
Discourse and Deep Logical Analysis [0.0]
We present an approach towards the deep, pluralistic logical analysis of argumentative discourse.
We use state-of-the-art automated reasoning technology for classical higher-order logic.
arXiv Detail & Related papers (2020-07-02T11:07:53Z) - Logical Neural Networks [51.46602187496816]
We propose a novel framework seamlessly providing key properties of both neural nets (learning) and symbolic logic (knowledge and reasoning)
Every neuron has a meaning as a component of a formula in a weighted real-valued logic, yielding a highly intepretable disentangled representation.
Inference is omni rather than focused on predefined target variables, and corresponds to logical reasoning.
arXiv Detail & Related papers (2020-06-23T16:55:45Z)
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.