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LoGIcInMAS SIGNED

Logics and Games for Imperfect Information in Multi-Agent Systems

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EC-Contrib. €

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Project "LoGIcInMAS" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II 

Organization address
address: CORSO UMBERTO I, 40
city: NAPOLI
postcode: 80138
website: www.unina.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Project website https://www.researchgate.net/project/LoGIcInMAS-Logics-and-Games-for-Imperfect-Information-in-Multi-Agent-Systems
 Total cost 168˙277 €
 EC max contribution 168˙277 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-04-01   to  2018-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II IT (NAPOLI) coordinator 168˙277.00

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 Project objective

This project aims at developing formal methods based on logics and game theory to model, specify and analyse multi-agent systems (MAS).

Such systems, in which autonomous agents interact and strategize to achieve private and/or common objectives, are central in many endeavours of high potential societal impact, such as the development of smart cities or robotic rescue teams for nuclear accidents. Because of the criticality of many application areas, there has been over the recent years an important and rising effort to bring together the formal methods community and the MAS community in order to develop theoretical paradigms and practical tools to help design provably correct multi-agent systems. The logical approach has until now been particularly successful. The most recent and promising proposal was made by Chatterjee, Henzinger and Piterman, who in 2010 introduced Strategy Logic, a logic tailored to reason about rich game-theoretic notions in multi-agent systems. This logic enjoys very interesting properties and has been well studied, but much remains to be done.

In most real-life applications, agents only have imperfect information about their environment. Typically, rescue robots each have only a local, partial view of their environment. Their sensors may even get damaged during the mission, due to radiations for example. Considering imperfect information deeply impacts the strategizing process, and it also calls for a modelling of agents' uncertainty. In this project we propose to extend Strategy Logic to account for imperfect information and to allow for reasoning about agents' knowledge.

 Publications

year authors and title journal last update
List of publications.
2018 Aurèle Barrière, Bastien Maubert, Sasha Rubin and Aniello Murano
Changing observations in Epistemic Temporal Logic
published pages: , ISSN: , DOI:
arXiv 2019-06-13
2018 Bastien Maubert and Aniello Murano
Reasoning about Knowledge and Strategies under Hierarchical Information
published pages: , ISSN: , DOI:
Proceedings of the 16th International Conference on Principles of Knowledge Representation and Reasoning 2019-06-13
2016 Berthon, Raphaël; Maubert, Bastien; Murano, Aniello
Quantified CTL with imperfect information
published pages: , ISSN: , DOI:
arXiv 2019-06-13
2017 Raphaël Berthon, Bastien Maubert and Aniello Murano
Decidability results for ATL* with imperfect information and perfect recall
published pages: 1250--1258, ISSN: , DOI:
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems 2019-06-13

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