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Marco Maratea

8 accepted papers

2026

A Domain-specific Heuristic for PDDL+-based Traffic Signal Optimisation

AAAI 2026technical

Optimising traffic signals is crucial for mitigating urban congestion, and automated planning, particularly with PDDL+, has shown promise for real-world deployment due to its flexibility and centralised perspective. While existing PDDL+ models guarantee deployability on current infrastructure, they

Cited by 0SourcePDFScholar
2026

A Simple Proof-Theoretic Characterization of Stable Models: Reduction to Difference Logic and Experiments (Abstract Reprint)

AAAI 2026technical

Stable models of logic programs have been studied and characterized in relation with other formalisms by many researchers. As already argued in previous papers, such characterizations are interesting for diverse reasons, including theoretical investigations and the possibility of leading to new algo

Cited by 0SourcePDFScholar
2026

Optimality-preserving Logic-Based Benders Decomposition of Answer Set Programs

IJCAI 2026

Bender Decomposition is a well-known solving technique in Operation Research that decomposes a problem into a master and a subproblem, which interact via “cuts". This technique has been extended to Logic-Based Bender Decomposition (LBBD), solving problems specified by logic-based languages and enabl

Cited by 0Scholar
2026

Traffic Signal Plans Explorer: A General Framework for Visualising Traffic Evolution

AAAI 2026technical

We present the Traffic Signal Plans Explorer, a framework for visualising and exploring traffic signal plans generated via PDDL+ planning. Designed to support both traffic experts and non-specialists, the tool offers a web-based interface for high-level network analysis and a SUMO-based adapter for

Cited by 0SourcePDFScholar
2025

A General Framework for Representing Controlled Natural Language Sentences and Translation to KR Formalisms

IJCAI 2025

Languages for Knowledge Representation and Reasoning, such as ASP, CP, and SMT, excel at solving some complex problems, but encoding them into a higher-level language may be more profitable, leaving these formalisms as targets for solving. Recent studies aim to convert controlled natural languages i

Cited by 0SourcePDFScholar
2020

A Formal Approach for Cautious Reasoning in Answer Set Programming (Extended Abstract)

IJCAI 2020poster

The issue of describing in a formal way solving algorithms in various fields such as Propositional Satisfiability (SAT), Quantified SAT, Satisfiability Modulo Theories, Answer Set Programming (ASP), and Constraint ASP, has been relatively recently solved employing abstract solvers. In this paper we…

Cited by 0SourcePDFScholar