In this paper we present a new model for the requirements analysis of a system. We offer a conceptual model defined following a visual modeling language, called dependence network...
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...
Scalable coordination is a key challenge in deployment of multiagent systems. Resource usage is one part of agent behavior which naturally lends itself to abstraction. CyberOrgs i...
This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...
In this paper, we describe a software system that generates unique musical compositions in realtime, created by four autonomous multi-agents. Given no explicit musical data, agent...