Statecharts: A visual formalism for complex systems
Science of Computer Programming
The role of emotion in believable agents
Communications of the ACM
The ant colony optimization meta-heuristic
New ideas in optimization
Path set selection in mobile ad hoc networks
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
The Vision of Autonomic Computing
Computer
Framsticks: Towards a Simulation of a Nature-Like World, Creatures and Evolution
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Affective Interaction between Humans and Robots
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
Proceedings on Mathematical Foundations of Computer Science
ARA - The Ant-Colony Based Routing Algorithm for MANETs
ICPPW '02 Proceedings of the 2002 International Conference on Parallel Processing Workshops
Evolving 3d morphology and behavior by competition
Artificial Life
STACS'99 Proceedings of the 16th annual conference on Theoretical aspects of computer science
A survey on position-based routing in mobile ad hoc networks
IEEE Network: The Magazine of Global Internetworking
Engineering self-coordinating software intensive systems
Proceedings of the FSE/SDP workshop on Future of software engineering research
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We are surrounded by an enormous amount of microprocessors. Their quantity outnumbers the human population by a factor of more than three. These microprocessors enable most technological artifacts to become intelligent “things that think” and a majority of these intelligent objects will be linked together to an “Internet of things”. This omnipresent virtual “organism” will provide ubiquitous computing to an amount which goes far beyond all presently existing systems. To master this emerging virtual organism, completely new paradigms of operation have to evolve. In this paper we present our vision of establishing self-coordination as the dominant paradigm of operation of future ubiquitous computing environments. This vision is looked at from four different points of view. First of all techniques to model self-coordinating distributed systems in an adequate manner is discussed. Then the principle of self-coordination is applied to individual intelligent objects. In a next step such objects have to be arranged in a networked manner. Again the potential of self-coordination, now applied to communication infrastructures is studied. Finally self-coordination is applied to next generation interfaces between human beings an artificial ones. In this paper we do not attempt to provide a complete discourse of the area. Instead of this we try to illustrate the four aspects mentioned above by proper examples