TAC-02 was the third in a series of Trading Agent Competition events fostering research in automating trading strategies by showcasing alternate approaches in an open-invitation m...
Shih-Fen Cheng, Evan Leung, Kevin M. Lochner, Kevi...
Much emphasis in multiagent reinforcement learning (MARL) research is placed on ensuring that MARL algorithms (eventually) converge to desirable equilibria. As in standard reinfor...
To increase the assurance with which agents can be deployed in operational settings, we have been developing the KAoS policy and domain services. In conjunction with Nomads strong...
Jeffrey M. Bradshaw, Andrzej Uszok, Renia Jeffers,...
Abstract. Several research groups have grappled with the problem of characterizing and developing practical approaches for implementing adjustable autonomy and mixed-initiative int...
Jeffrey M. Bradshaw, Paul J. Feltovich, Hyuckchul ...
This paper introduces AgentSpeak(F), a variation of the BDI logic programming language AgentSpeak(L) intended to permit the model-theoretic verification of multi-agent systems. A...
Rafael H. Bordini, Michael Fisher, Carmen Pardavil...
A referral system is a multiagent system whose member agents are capable of giving and following referrals. The specific cases of interest arise where each agent has a user. The ...
Abstract. In recent years, mobile ad-hoc networks (MANETs) have been deployed in various scenarios, but their scalability is severely restricted by the human operators’ ability t...
Large systems of agents deployed in a real-world environment face threats to their problem solving performance that are independent of the complexity of the problem or the charact...