We present a general method for agents using ontologies as part of their knowledge representation to teach each other concepts to improve their communication and thus cooperation ...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
In a multi-agent system, the organization determines the architecture of the whole system, and the way and policies for agent collaboration and interactions. Although this is a key...
Cooperation is the process of synchronization and exchanging useful knowledge between agents in multiagent systems. Since cooperation associates agents into a collaborative team t...
As computer systems continue to grow in power and access more networked content and services, we believe there will be an increasing need to provide more user-centric systems that...