Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
In multi-agent applications, normative systems are usually used to regulate the behavior of the agents. They provide an efficient means to ensure limited deviations from an expecte...
Personalized information agents can help overcome some of the limitations of communal Web information sources such as portals and search engines. Two important components of these...
In a service-oriented e-commerce environment, it is a crucial task to help consumers choose desired products efficiently from a huge amount of dynamically configured product can...
InfoSleuth1is an agent-based system for information discovery and retrieval in a dynamic, open environment. This paper discusses InfoSleuth's multibroker design and implement...