Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Ant Colony Optimization
Proceedings of the 3rd ACM workshop on Wireless multimedia networking and performance modeling
The Complexity Challenge in Embedded System Design
ISORC '08 Proceedings of the 2008 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing
Examinating Task Distribution by an Artificial Hormone System Based Middleware
ISORC '08 Proceedings of the 2008 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing
A Hierarchical Resource Management Scheme Enabled by the TMO Programming Scheme
ISORC '08 Proceedings of the 2008 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing
Self-organizing resource-aware clustering for ad hoc networks
SEUS'07 Proceedings of the 5th IFIP WG 10.2 international conference on Software technologies for embedded and ubiquitous systems
A formal immune network and its implementation for on-line intrusion detection
MMM-ACNS'05 Proceedings of the Third international conference on Mathematical Methods, Models, and Architectures for Computer Network Security
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Future Embedded Systems are heading into a degree of complexity which is far beyond today`s level. As most technical artifacts will be interconnected in some sense ("Internet of Things") Embedded Systems of the future cannot be treated as isolated entities any longer. Two major tendencies to cope with this challenge can be observed. The first one takes its inspiration from the technical roots of Embedded Systems. They are looked at from their technical nature but the traditional boundaries of Embedded Systems, especially to consider them as isolated systems are overcome. This approach became well known under the name "Cyber Physical Systems (CPS)". The second approach observes the existence of highly successful and relatively stable systems in form of our biosphere. So it seems to be wise to take inspirations from the achievement of nature. This approach became rather popular under the term "Biologically Inspired Systems" or "Organic Computing". In this paper we will concentrate on the latter attempt to build the highly complex, highly sophisticated Embedded Systems of the future. Inspirations from ant colonies, from the hormone system, and from the immune system will shortly be discussed using specific examples. Some comparisons with the CPS approach will be made as well.