activity
20192024
most citedIncremental Answer Set Programming with Overgrounding

7 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2024

ASP-based Multi-shot Reasoning via DLV2 with Incremental Grounding

Francesco Calimeri, Giovambattista Ianni, Francesco Pacenza +2

DLV2 is an AI tool for Knowledge Representation and Reasoning which supports Answer Set Programming (ASP) - a logic-based declarative formalism, successfully used in both academic…

cs.AI2023

Extending Answer Set Programming with Rational Numbers

Francesco Pacenza, Jessica Zangari

Answer Set Programming (ASP) is a widely used declarative programming paradigm that has shown great potential in solving complex computational problems. However, the inability to n…

cs.AI2023

Rethinking Answer Set Programming Templates

Mario Alviano, Giovambattista Ianni, Francesco Pacenza +1

In imperative programming, the Domain-Driven Design methodology helps in coping with the complexity of software development by materializing in code the invariants of a domain of i…

cs.LO2020★ 1 cited

Incremental maintenance of overgrounded logic programs with tailored simplifications

Giovambattista Ianni, Francesco Pacenza, Jessica Zangari

The repeated execution of reasoning tasks is desirable in many applicative scenarios, such as stream reasoning and event processing. When using answer set programming in such conte…

cs.AI2019★ 1 cited

Reasoning in Highly Reactive Environments

Francesco Pacenza

The aim of my Ph.D. thesis concerns Reasoning in Highly Reactive Environments. As reasoning in highly reactive environments, we identify the setting in which a knowledge-based agen…

cs.AI2019★ 7 cited

Incremental Answer Set Programming with Overgrounding

Francesco Calimeri, Giovambattista Ianni, Francesco Pacenza +2

Repeated executions of reasoning tasks for varying inputs are necessary in many applicative settings, such as stream reasoning. In this context, we propose an incremental grounding…