Autonomy, adaptability, scalability, and flexible communications are all attributes of agents and multi-agent systems which suggest that they may offer timely solutions for dealin...
Brendan Jennings, Rob Brennan, Rune Gustavsson, Ro...
Coalitional games serve the purpose of modeling payoff distribution problems in scenarios where agents can collaborate by forming coalitions in order to obtain higher worths than...
Gianluigi Greco, Enrico Malizia, Luigi Palopoli, F...
In recent years, model-driven approaches and processes have1 established themselves as pragmatic and feasible solutions with tangible2 advantages. Transformations play a central ro...
Anthony Anjorin, Marius Paul Lauder, Michael Schle...
This paper develops a game-theoretic framework for the design and analysis of a new class of incentive schemes called intervention schemes. We formulate intervention games, propos...
Motivated by a machine learning perspective—that gametheoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal...