no code implementations • 24 May 2023 • Munyque Mittelmann, Aniello Murano, Laurent Perrussel
Discounting is an important dimension in multi-agent systems as long as we want to reason about strategies and time.
no code implementations • 24 Jan 2022 • Francesco Belardinelli, Wojtek Jamroga, Vadim Malvone, Munyque Mittelmann, Aniello Murano, Laurent Perrussel
In online advertising, search engines sell ad placements for keywords continuously through auctions.
no code implementations • 1 Feb 2021 • Munyque Mittelmann, Sylvain Bouveret, Laurent Perrussel
The contribution is two-fold: first, we illustrate the general dimension by representing different kinds of protocols, and second, we show how to reason about auction properties in this machine-processable language.
no code implementations • 4 Dec 2019 • Munyque Mittelmann, Laurent Perrussel
Many problems can be viewed as games, where one or more agents try to ensure that certain objectives hold no matter the behavior from the environment and other agents.
no code implementations • 29 Nov 2019 • Zhanhao Xiao, Hai Wan, Hankui Hankz Zhuo, Andreas Herzig, Laurent Perrussel, Peilin Chen
Hierarchical Task Network (HTN) planning is showing its power in real-world planning.
no code implementations • 27 Jul 2017 • Francesco Belardinelli, Umberto Grandi, Andreas Herzig, Dominique Longin, Emiliano Lorini, Arianna Novaro, Laurent Perrussel
We introduce Concurrent Game Structures with Shared Propositional Control (CGS-SPC) and show that they ac- count for several classes of repeated games, including iterated boolean games, influence games, and aggregation games.
no code implementations • 5 Feb 2016 • Umberto Grandi, Emiliano Lorini, Laurent Perrussel
We study the strategic aspects of social influence in a society of agents linked by a trust network, introducing a new class of games called games of influence.
no code implementations • 7 Dec 2015 • Guifei Jiang, Dongmo Zhang, Laurent Perrussel
The aim of this paper is to investigate the interplay between knowledge shared by a group of agents and its coalition ability.