activity
20182026
most citedplasp 3: Towards Effective ASP Planning

15 citations · 15 across the 8 of their papers we have counts for

collaborators

10 papers

cs.AI2026

Meta-Programming for Linear-time Temporal Answer Set Programming

Susana Hahn, Amadé Nemes, Javier Romero +1

The development of temporal extensions of Answer Set Programming (ASP) has led to the emergence of non-monotonic linear-time (TEL), dynamic (DEL), and metric (MEL) temporal equilib…

cs.LO2026

Event Calculus Meets Hybrid ASP

Ondřej Vašíček, Joaquín Arias, Jan Fiedor +5

Event Calculus (EC) implemented in answer set programming (ASP) has proven suitable for specifying requirements on safety-critical systems thanks to its elegant representation of b…

cs.AI2024

Reasoning about Study Regulations in Answer Set Programming

Susana Hahn, Cedric Martens, Amade Nemes +4

We are interested in automating reasoning with and about study regulations, catering to various stakeholders, ranging from administrators, over faculty, to students at different st…

cs.AI2024

On the generalization of learned constraints for ASP solving in temporal domains

Javier Romero, Torsten Schaub, Klaus Strauch

The representation of a dynamic problem in ASP usually boils down to using copies of variables and constraints, one for each time stamp, no matter whether it is directly encoded or…

cs.AI2021

Answer Set Programming Made Easy

Jorge Fandinno, Seemran Mishra, Javier Romero +1

We take up an idea from the folklore of Answer Set Programming, namely that choices, integrity constraints along with a restricted rule format is sufficient for Answer Set Programm…

cs.AI2021

Planning with Incomplete Information in Quantified Answer Set Programming

Jorge Fandinno, François Laferrière, Javier Romero +2

We present a general approach to planning with incomplete information in Answer Set Programming (ASP). More precisely, we consider the problems of conformant and conditional planni…

cs.AI2021

Learning First-Order Representations for Planning from Black-Box States: New Results

Ivan D. Rodriguez, Blai Bonet, Javier Romero +1

Recently Bonet and Geffner have shown that first-order representations for planning domains can be learned from the structure of the state space without any prior knowledge about t…

cs.LO2020

eclingo: A solver for Epistemic Logic Programs

Pedro Cabalar, Jorge Fandinno, Javier Garea +2

We describe eclingo, a solver for epistemic logic programs under Gelfond 1991 semantics built upon the Answer Set Programming system clingo. The input language of eclingo uses the…

cs.AI2020

How to build your own ASP-based system?!

Roland Kaminski, Javier Romero, Torsten Schaub +1

Answer Set Programming (ASP) has become a popular and quite sophisticated approach to declarative problem solving. This is arguably due to its attractive modeling-grounding-solving…

cs.LO2018★ 15 cited

plasp 3: Towards Effective ASP Planning

Yannis Dimopoulos, Martin Gebser, Patrick Lühne +2

We describe the new version of the PDDL-to-ASP translator plasp. First, it widens the range of accepted PDDL features. Second, it contains novel planning encodings, some inspired b…