Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Abstract--The concept of cognitive radio (CR) has recently received great attention from the research community as a promising paradigm to achieve efficient use of the frequency re...
We address skyline and top-k processing in web interaction scenarios. We model the problem space based on game theory principles and present new algorithms and heuristics to reali...
We define two negotiation protocols for Group Decision Making, which main feature is the existence of acceptation thresholds. In order to predict which consensus are expected to ...
The area of learning in multi-agent systems is today one of the most fertile grounds for interaction between game theory and artificial intelligence. We focus on the foundational...