As in CLEF 2003, Berkeley experimented with the CLEF Russian Izvestia document collection with monolingual and bilingual runs for the Russian collection. For CLEF 2004 we also expe...
Communication in open heterogeneous multi agent systems is hampered by lack of shared ontologies. To overcome these problems, we propose a layered communication protocol which inc...
Jurriaan van Diggelen, Robbert-Jan Beun, Frank Dig...
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
This paper presents three types of declarative goals: perform goals, achieve goals, and maintain goals. The integration of these goal types in a simple but extendable logic-based a...
Mehdi Dastani, M. Birna van Riemsdijk, John-Jules ...
Multiagent resource allocation is a timely and exciting area of research at the interface of Computer Science and Economics. One of the main challenges in this area is the high co...