activity
20232026
most citedAbstraction of Nondeterministic Situation Calculus Action Theories -- Extended Version

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.AI2026

Incremental LTLf Synthesis

Giuseppe De Giacomo, Yves Lespérance, Gianmarco Parretti +2

In this paper, we study incremental LTLf synthesis -- a form of reactive synthesis where the goals are given incrementally while in execution. In other words, the protagonist agent…

cs.AI2025

Using Large Language Models for Abstraction of Planning Domains - Extended Version

Bita Banihashemi, Megh Patel, Yves Lespérance

Generating an abstraction of a dynamic domain that aligns with a given purpose remains a significant challenge given that the choice of such an abstraction can impact an agent's ab…

cs.AI2024

Reasoning about Actual Causes in Nondeterministic Domains -- Extended Version

Shakil M. Khan, Yves Lespérance, Maryam Rostamigiv

Reasoning about the causes behind observations is crucial to the formalization of rationality. While extensive research has been conducted on root cause analysis, most studies have…

cs.LO2024

Abstracting Situation Calculus Action Theories

Bita Banihashemi, Giuseppe De Giacomo, Yves Lespérance

We develop a general framework for agent abstraction based on the situation calculus and the ConGolog agent programming language. We assume that we have a high-level specification…

cs.LO2023★ 1 cited

Abstraction of Nondeterministic Situation Calculus Action Theories -- Extended Version

Bita Banihashemi, Giuseppe De Giacomo, Yves Lespérance

We develop a general framework for abstracting the behavior of an agent that operates in a nondeterministic domain, i.e., where the agent does not control the outcome of the nondet…