Search Results for author: Michael Gelfond

Found 9 papers, 0 papers with code

Embracing Background Knowledge in the Analysis of Actual Causality: An Answer Set Programming Approach

no code implementations6 Jun 2023 Michael Gelfond, Jorge Fandinno, Evgenii Balai

This paper presents a rich knowledge representation language aimed at formalizing causal knowledge.

Thirty years of Epistemic Specifications

no code implementations17 Aug 2021 Jorge Fandinno, Wolfgang Faber, Michael Gelfond

The language of epistemic specifications and epistemic logic programs extends disjunctive logic programs under the stable model semantics with modal constructs called subjective literals.

Vicious Circle Principle and Logic Programs with Aggregates

no code implementations21 Aug 2018 Michael Gelfond, Yuanlin Zhang

The paper presents a knowledge representation language $\mathcal{A}log$ which extends ASP with aggregates.

Vicious Circle Principle and Formation of Sets in ASP Based Languages

no code implementations29 Aug 2016 Michael Gelfond, Yuanlin Zhang

The paper continues the investigation of Poincare and Russel's Vicious Circle Principle (VCP) in the context of the design of logic programming languages with sets.

REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics

no code implementations17 Aug 2015 Mohan Sridharan, Michael Gelfond, Shiqi Zhang, Jeremy Wyatt

This paper describes an architecture for robots that combines the complementary strengths of probabilistic graphical models and declarative programming to represent and reason with logic-based and probabilistic descriptions of uncertainty and domain knowledge.

Modular Action Language ALM

no code implementations19 May 2015 Daniela Inclezan, Michael Gelfond

It is based on the approach of Gelfond and Lifschitz (1993; 1998) in which a high-level action language is used as a front end for a logic programming system description.

Vicious Circle Principle and Logic Programs with Aggregates

no code implementations14 May 2014 Michael Gelfond, Yuanlin Zhang

The paper presents a knowledge representation language $\mathcal{A}log$ which extends ASP with aggregates.

KR$^3$: An Architecture for Knowledge Representation and Reasoning in Robotics

no code implementations5 May 2014 Shiqi Zhang, Mohan Sridharan, Michael Gelfond, Jeremy Wyatt

This paper describes an architecture that combines the complementary strengths of declarative programming and probabilistic graphical models to enable robots to represent, reason with, and learn from, qualitative and quantitative descriptions of uncertainty and knowledge.

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