Nowadays there is a clear trend towards using methods and tools that can help to develop multiagent systems (MAS). This study presents a multiagent based middleware for the agents behavior simulation. The main challenge of this work is the design and development of a new infrastructure that can act as a middleware to communicate the current technology in charge of the development of the multiagent system and the technology in charge of the simulation, visualization and analysis of the behavior of the agents. It is a key element when considering that MAS are autonomous, adaptive and complex systems and provides advances abilities for visualization. The proposed middleware infrastructure makes it possible to visualize the emergent agent behaviour and the entity agent. It also allows visualization of the interaction between the agent and the environment.

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The series "Advances in Intelligent Systems and Computing" contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing.The publications within "Advances in Intelligent Systems and Computing" are primarily textbooks and proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.

Advances appeared in Information and Communication Technologies along last years have given raise to new interaction ways between people and technology. Ambient Intelligences (AmI) is a multidisciplinary research area which promotes the use or technology in a transparent way to facilitate everyday tasks. Education is one field that benefits from AmI: collaboration between students in innovate ways, data acquisition from the context or real time location systems enhance learning processes. This paper presents CAFCLA, a framework aimed at designing, developing and deploying AmI-based educational scenarios where collaboration between students and contextual information are available every time and everywhere through multiple resources and communication protocols.

Nowadays there is a clear trend towards using methods and tools that can help to develop multiagent systems (MAS). Thanks to the contribution from agent based computing to the field of computer simulation mediated by ABS (Agent Based Simulation) is obtained benefits like methods for evaluation and visualization of multi agent systems or for training future users of a system. This study presents a multiagent based middleware for the agents behavior simulation. The main challenge of this work is the design and development of a new infrastructure that can act as a middleware to communicate the current technology in charge of the development of the multiagent system and the technology in charge of the simulation, visualization and analysis of the behavior of the agents. The proposed middleware infrastructure makes it possible to visualize the emergent agent behaviour and the entity agent in a 3D environment. It also allows to design multi-agent systems considering organizational aspects of agent societies.