Abstract— This paper presents a decentralized negotiation protocol for cooperative economic scheduling in a supply chain environment. For this purpose we designed autonomous agen...
Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...
Gustavo Andrade, Geber Ramalho, Hugo Santana, Vinc...
Notions of fairness have recently received increased attention in the context of resource allocation problems, pushed by diverse applications where not only pure utilitarian effic...
This paper describes a method for decision making using argumentation. The method is intended to produce the decision considered most likely to promote the agent's aims and as...
Fahd Saud Nawwab, Trevor J. M. Bench-Capon, Paul E...
End-user interactive machine learning is a promising tool for enhancing human productivity and capabilities with large unstructured data sets. Recent work has shown that we can cr...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...