activity
20122023
most citedExtended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning

11 citations · 56 across the 25 of their papers we have counts for

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9 papers · 1 filter

cs.LO2022

Program Semantics and a Verification Technique for Knowledge-Based Multi-Agent Systems

Francesco Belardinelli, Ioana Boureanu, Vadim Malvone +1

We give a relational and a weakest precondition semantics for "knowledge-based programs", i.e., programs that restrict observability of variables so as to richly express changes in…

cs.LO2022

A Sahlqvist-style Correspondence Theorem for Linear-time Temporal Logic

Rui Li, Francesco Belardinelli

The language of modal logic is capable of expressing first-order conditions on Kripke frames. The classic result by Henrik Sahlqvist identifies a significant class of modal formula…

cs.LO2022

Model Checking Strategic Abilities in Information-sharing Systems

Francesco Belardinelli, Ioana Boureanu, Catalin Dima +1

We introduce a subclass of concurrent game structures (CGS) with imperfect information in which agents are endowed with private data-sharing capabilities. Importantly, our CGSs are…

cs.LO2020

A Hennessy-Milner Theorem for ATL with Imperfect Information

Francesco Belardinelli, Catalin Dima, Vadim Malvone +1

We show that a history-based variant of alternating bisimulation with imperfect information allows it to be related to a variant of Alternating-time Temporal Logic (ATL) with imper…

cs.LO2019

Formal Verification of Debates in Argumentation Theory

Ria Jha, Francesco Belardinelli, Francesca Toni

Humans engage in informal debates on a daily basis. By expressing their opinions and ideas in an argumentative fashion, they are able to gain a deeper understanding of a given prob…

cs.LO2019★ 1 cited

Social Choice Methods for Database Aggregation

Francesco Belardinelli, Umberto Grandi

Knowledge can be represented compactly in multiple ways, from a set of propositional formulas, to a Kripke model, to a database. In this paper we study the aggregation of informati…