Abstract. In this paper we compare state-of-the-art multi-agent reinforcement learning algorithms in a wide variety of games. We consider two types of algorithms: value iteration a...
H. Jaap van den Herik, Daniel Hennes, Michael Kais...
Abstract. Metabolic P systems, shortly MP systems, are a special class of P systems, introduced for expressing biological metabolism. Their dynamics are computed by metabolic algor...
Abstract. This paper presents a hybrid agents based architecture that uses casebased reasoning and case-based planning systems as reasoning mechanism in deliberative BDI agents to ...
Dante I. Tapia, Javier Bajo, Juan M. Corchado, Sar...
Abstract. Constraint satisfaction problems provide strong formalism for modeling variety of real life problems. This paper presents a work currently in progress of which the goal i...
Abstract. This paper examines the effect of cultural learning on a population of neural networks. We compare the genotypic and phenotypic diversity of populations employing only p...