Cooperation and autonomy are two antagonistic core variables of agent-based systems, and a key challenge in designing such systems is to balance these variables appropriately. Thi...
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...
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 paper addresses the problem of multiagent task allocation in extreme teams. An extreme team is composed by a large number of agents with overlapping functionality operating i...
A multi-agent system is a network of software agents that cooperate to solve problems. In open multi-agent systems, the agents that need resources provided by other agents are not ...