This paper briefly introduces a summary of the special session on Hybrid Reasoning and Coordination Methods on Multi-Agent Systems, held in conjunction with the 4th International Conference on Hybrid Artificial Intelligence Systems 2009 (HAIS’09). The research papers of this session…

The Workshop of Physical Agents intends to be a forum for information and experience exchange in different areas regarding the concept of agent on physical environments, especially applied to the control and coordination of autonomous systems: robots, mobile robots, industrial…

Social knowledge is one of the key aspects of MAS in order to face complex problems in dynamical environments. However, it is usually incorporated without specific support on behalf of the platform and that does not let agents take all…

This paper presents a multiagent recommendation system (RecMAS) able to coordinate the interactions between a user agent (AgUser) and a set of commercial agents (AgComs). It provides a useful service for monitoring changes in the AgUser’s beliefs and decisions based…

Open societies are situated in dynamic environments and are formed by heterogeneous autonomous agents. In order to ensure social order, norms have been employed as coordination mechanisms. However, the dynamical features of open systems may cause that norms loose their…

In real-time Multi-Agent Systems, Real-Time Agents merge intelligent deliberative techniques with real-time reactive actions in a distributed environment. CBR has been successfully applied in Multi-Agent Systems as deliberative mechanism for agents. However, in the case of Real-Time Multi-Agent Systems the…

This paper presents a brief summary of the post-proceedings of the special session on practical applications held in the framework of IWANN 2009. The special session was supported by the THOMAS (TIN2006-14630-C03-03) project and aims at presenting the results obtained…

This paper describes a multi-agent based simulation (MABS) framework to construct an artificial electric power market populated with learning agents. The artificial market, named TEMMAS (The Electricity Market Multi-Agent Simulator), explores the integration of two design constructs: i) the specification…

Multi-agent systems are composed of autonomous entities that cooperate forming emergent behaviors. The communication between agents is sometimes unpredictable, and the resulting communication patterns can become crucial in their performance. This paper presents a metrics suite for evaluating the communication…

A paradigm for modelling and analysing Home Automation Systems is introduced, based on Multi-Agent System theory. A rich and versatile environment for Home Automation System simulation is constructed for investigating the performances of the system. The exploitation of limited resources…