Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
Abstract. Agent-based systems that are composed of simple locally interacting agents but which demonstrate complex group behavior o er several advantages over traditional multi-age...
Imitation represents a powerful approach for programming and autonomous learning in robot and computer systems. An important aspect of imitation is the mapping of observations to ...
Abstract. In this paper we present a new, non-pheromone-based algorithm inspired by the behaviour of biological bees. The algorithm combines both recruitment and navigation strateg...
Nyree Lemmens, Steven de Jong, Karl Tuyls, Ann Now...
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...