A framework for Conditional Reasoning in Answer Set Programming

In this paper we introduce a Conditional Answer Set Programming framework (Conditional ASP) for the definition of conditional extensions of Answer Set Programming (ASP). The approach builds on a conditional logic with typicality, and on the combination of a conditional knowledge base with an ASP program, and allows for conditional reasoning over the answer sets of the program. The formalism relies on a multi-preferential semantics, and on the KLM preferential semantics, as a special case. Conditional entailment is encoded in ASP and a complexity upper-bound is provided.

Authors

Institutions

Publication Details

Journal
Electronic Proceedings in Theoretical Computer Science
Published
2026-01-08
DOI
https://doi.org/10.4204/eptcs.439.13
Primary Topic
Logic, Reasoning, and Knowledge
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A framework for Conditional Reasoning in Answer Set Programming

Laura Giordano, Daniele Theseider Dupré, Mario Alviano
Electronic Proceedings in Theoretical Computer Science
Logic, Reasoning, and Knowledge
article

A framework for Conditional Reasoning in Answer Set Programming

Laura Giordano, Daniele Theseider Dupré, Mario Alviano
article en

Abstract

In this paper we introduce a Conditional Answer Set Programming framework (Conditional ASP) for the definition of conditional extensions of Answer Set Programming (ASP). The approach builds on a conditional logic with typicality, and on the combination of a conditional knowledge base with an ASP program, and allows for conditional reasoning over the answer sets of the program. The formalism relies on a multi-preferential semantics, and on the KLM preferential semantics, as a special case. Conditional entailment is encoded in ASP and a complexity upper-bound is provided.

Electronic Proceedings in Theoretical Computer ScienceVol. 439
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT), University of Calabria (IT)
Openalex Percentile: Top 99%
Logic, Reasoning, and Knowledge
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.