Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...
In this paper, we present a model of distributed parameter estimation in networks, where agents have access to partially informative measurements over time. Each agent faces a loca...
Abstract. There are many domains in which a multi-agent system needs to maximize a "system utility" function which rates the performance of the entire system, while subje...
In many dynamic open systems, agents have to interact with one another to achieve their goals. Here, agents may be self-interested and when trusted to perform an action for another...
W. T. Luke Teacy, Jigar Patel, Nicholas R. Jenning...
In a combinatorial auction, a set of resources is for sale, and agents can bid on subsets of these resources. In a voting setting, the agents decide among a set of alternatives by...