This research uses a Design of Experiments (DOE) approach to build a predictive model of the performance of a combinatorial optimization heuristic over a range of heuristic tuning parameter settings...
A pattern restore method for restoring missing patterns in server side clickstream data (2005)
Ting, I-H., Kimble, C., Kudenko, D.
When analyzing patterns in server side data, it becomes quickly apparent that some of the data originating from the client is lost, mainly due to the caching of web pages. Missing data is a very...
Contents The AISB 2004 Convention …………….…………………………………………………… … iii (2004)
K. Ng, D. Kudenko, E. Alonso, D. Kazakov
www.leeds.ac.uk/aisb www.icsrim.org.uk
Algorithms for distributed exploration (2004)
Walker, T., Kudenko, D., Strens, M.J.A.
In this paper we propose algorithms for a set of problems where a distributed team of agents tries to compile a global map of the environment from local observations. We focus on two approaches: one...
Group decision making through mediated discussions (2003)
Kudenko, D., Bauer, M., Dengler, D.
To date, product recommendation systems have mainly been looked at from a single-agent perspective, where only the interests of a single user are taken into account. We extend this scenario and...
Reinforcement Learning of Coordination in Cooperative Multi-Agent Systems (2002)
We report on an investigation of reinforcement learning techniques for the learning of coordination in cooperative multi-agent systems. Specifically, we focus on a novel action selection strategy for...
Learning in multi-agent systems (2001)
Alonso, E., D'Inverno, M., Kudenko, D., Luck, M., Noble, J.
In recent years, multi-agent systems (MASs) have received increasing attention in the artificial intelligence community. Research in multi-agent systems involves the investigation of autonomous,...
Learning in multi-agent systems (2001)
Alonso, E., D'Inverno, M., Kudenko, D., Luck, M., Noble, J.
In recent years, multi-agent systems (MASs) have received increasing attention in the artificial intelligence community. Research in multi-agent systems involves the investigation of autonomous,...
Learning in multi-agent systems (2001)
Alonso, E., D'Inverno, M., Kudenko, D., Luck, M., Noble, J.
In recent years, multi-agent systems (MASs) have received increasing attention in the artificial intelligence community. Research in multi-agent systems involves the investigation of autonomous,...