This paper presents a two-sided economic search model in which agents are searching for beneficial pairwise partnerships. In each search stage, each of the agents is randomly mat...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
This chapter describes a principled, yet computationally efficient way for a team of UAVs with Received Signal Strength Indicator (RSSI) sensors to locate radio frequency emitting...
Paul Scerri, Robin Glinton, Sean Owens, Steven Oka...
This paper describes an agent system we have built to handle order entry and management issue in business computing and specialized in the telecommunication domain. Our system is ...
We show how protocols can be derived from norms using landmarks. The resulting protocols can be used by agents to fulfill the norms governing an e-institution without having to h...
Huib Aldewereld, Frank Dignum, John-Jules Ch. Meye...
We develop a model of normative systems in which agents are assumed to have multiple goals of increasing priority, and investigate the computational complexity and game theoretic ...