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research:biomodels 2007/04/22 19:38 research:biomodels 2009/11/30 16:52 current
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====== Biologically-Inspired Programming Models ====== ====== Biologically-Inspired Programming Models ======
-[[http://prog.vub.ac.be/~jededeck/|Jessie Dedecker]]+[[http://www.dedecker.org/|Jessie Dedecker]]
The goal of this research is to learn from biological models to structure, design and implement robust and scalable ambient intelligent systems. The goal of this research is to learn from biological models to structure, design and implement robust and scalable ambient intelligent systems.
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===== Motivation ===== ===== Motivation =====
-Biological models have a number of interesting properties that can be useful in the design of robust and large-scale ambient intelligent systems.  An example class of biological models is based on stigmergy.  Stigmergy is used by ant and termite colonies to communicate indirectly via pheromones deposited in their environment.  Based on this principle ants and termintes coordinate their actions with one another.  This manner of communication has a number of advantages:+Biological models have a number of interesting properties that can be useful in the design of robust and large-scale ambient intelligent systems.  An example class of biological models is based on stigmergy [4,5].  Stigmergy is used by ant and termite colonies to communicate indirectly via pheromones deposited in their environment.  Based on this principle ants and termintes coordinate their actions with one another.  This manner of communication has a number of advantages:
  * The mechanism of coordination is fully decoupled from the entities (ants and termintes) such that if an entity fails the colony can still proceed with its task.  Hence, the communication mechanism is robust with respect to failures.    * The mechanism of coordination is fully decoupled from the entities (ants and termintes) such that if an entity fails the colony can still proceed with its task.  Hence, the communication mechanism is robust with respect to failures. 
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[3] Barron [3] Barron
 +[4] Swarm Intelligence, ISBN: 0-19-513159-2
 +
 +[5] Emergence: The Connected Lives of Ants, Brains, Cities, and Software, ISBN: 0-684-86875-X
 
 
 
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