research:biomodels
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+ | 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 ===== | ||
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+ | Biological models have a number of interesting properties that can be useful in the design of robust and large-scale ambient intelligent systems. | ||
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+ | * 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 communication between entities is local. | ||
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+ | Other biological models exhibit similar properties with respect to scalability and robustness and should be considered as well. | ||
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+ | ===== Ongoing and Future Work ===== | ||
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+ | * AmbientTalk, | ||
+ | * Next, we will experiment with a number of biologically-inspired models such as the stigmergy briefly explained above and investigate what programming constructs are necessary to easily express programs based on these models. | ||
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+ | ===== Further Reading ===== | ||
+ | [1] Kindberg | ||
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+ | [2] Satyanarayanan | ||
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+ | [3] Barron | ||
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+ | [4] Swarm Intelligence, | ||
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+ | [5] Emergence: The Connected Lives of Ants, Brains, Cities, and Software, ISBN: 0-684-86875-X |
research/biomodels.1177260927.txt.gz · Last modified: 2007/04/22 18:55 (external edit)