The paper presents a platform for distributed computing, developed using the latest software
technologies and computing paradigms to enable big data mining. The platform, called …

Context: Games are a well-established scenario to test AI and multiagent systems (MAS)
proposals due to their popularity and defiance. However, there is no big picture of the …

This paper focuses on the integration of artificial intelligence methods in multi-agent virtual
environments for cultural heritage applications and especially virtual museums and …

The development of multiple agent systems faces many challenges, including agent
coordination and collaboration on tasks. Minsky's The Society of Mind provides a conceptual …

This paper investigates the performance of synthetic agents in playing and learning
scenarios in a turn-based zero-sum game and highlights the ability of opponent-based …

Although this research contains specific elements such as ontology engineering, and
defining an organisational metamodel, interdisciplinary nature of the research visible in …

This paper investigates the learning progress of inexperienced agents in competitive game
playing social environments. We aim to determine the effect of a knowledgeable opponent …

Grid is a technology that implements the process of sharing resources in a flexible, secure
and coordinated manner. Task management in computational grids involves planning …

In this paper we present a new strategy game, with machine learning computer players,
which have been developed using temporal difference reinforcement learning coupled with …