The motivation for this research stems from the interest of he Parlevink Research Group of the University of Twente in the area of Embodied Conversational Agent (ECA) technology. In this field of Human Computer Interaction (HCI) and Artificial Intelligence (AI), the design of ECAs, or ‘virtual humans’, and the communication between those agents and human users is the object of research. A lot o...

The German Conference on Multi-Agent system Technologies (MATES) provides an interdisciplinary forum for researchers, users, and developers to present and discuss latest advances in research work as well as prototyped or fielded systems of intelligent agents and multiagent systems. The conference covers the whole range of agentand multiagent technologies and aims to promote its theory and appli...

Specific patterns of autonomic activity have been reported when people experience emotions. Typical autonomic signals that change with emotion are wrinkles, blushing, sweating, tearing and respiration. This article explores whether these signals can also influence the perception of emotion in embodied agents. The article first reviews the literature on specific autonomic signal patterns associa...

Learning in multi-agent environments constitutes a research and application area whose importance is broadly acknowledged in artificial intelligence. Although there is a rapidly growing body of literature on multi-agent learning, almost nothing is known about the intrinsic nature of and requirements for this kind of learning. This observation is the starting point of this chapter which aims at ...

The paper presents an introduction in the Mobile Agents Systems and describes how this technology can be used in wireless applications. Also it is shown the possibility of securing wireless applications that use mobile agents and distributed computing. Wireless networks are a relatively new technology in the LAN market. With the weak encryption and security defined in the IEEE standards, wirele...

The software agent paradigm has evolved from a specialised stream of distributed artificial intelligence because of the emerging and commercially important need for software systems to inter-operate via heterogeneous networks. However, the software agent paradigm has taken a considerable amount of time to come to fruition in the communications domain, especially in the telecommunications world....

A new trend that has emerged in the field of applied artificial intelligence in the past few years is the incorporation of emotion emulation mechanisms in situated agent systems. Several researchers in the field of psychology and neural science agree that emotion is an essential aspect of human intelligence, diverging from the traditional treatment of emotion as something that inhibits rational...

The importance of learning in multi-agent environments as a research and application area is widely acknowledged in artificial intelligence. Although there is a rapidly growing body of literature on multi-agent learning, almost nothing is known about the intrinsic nature of and requirements for this kind of learning. This observation is the starting point of this chapter which aims to provide a...

Learning and evolution are two adaptive processes in the natural world that have been modelled in the study of artificial intelligence in computer science. In both biology and in artificial intelligence, learning and evolution are complementary processes. The nature of the interactions between learning and evolution has been the subject of much research in scientific disciplines. Evolution of a...

The vision of artificial intelligence (AI) is often manifested through an autonomous software module (agent) in a complex and uncertain environment. The agent is capable of thinking ahead and acting for long periods of time in accordance with its goals/objectives. It is also capable of learning and refining its understanding of the world. The agent may accomplish this based on its own experienc...