Ant-based computing

Authors:
Loizos Michael
Affiliations:
Division of Engineering and Applied Sciences, Harvard University, Cambridge, MA
Venue:
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Year:
2005

Citing 4
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Amorphous computing

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Ant Colony Optimization

Ant Colony Optimization

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Abstract

We propose a biologically and physically plausible model for ants and pheromones, and show this model to be sufficiently powerful to simulate the computation of arbitrary logic circuits. We thus establish that coherent deterministic and centralized computation can emerge from the collective behavior of simple distributed markovian processes as those followed by ants.