Relationship between structure and information processing in Physarum polycephalum
| Autor: | D.S. Hickey, L.A. Noriega |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Physarum
biology Artificial neural network Computer science business.industry Applied Mathematics Cell Computing fungi Information processing Physarum polycephalum Ant colony biology.organism_classification Computer Science Applications Tree traversal Connectionism Modeling and Simulation Artificial intelligence business |
| Zdroj: | International Journal of Modelling, Identification and Control. 4:348 |
| ISSN: | 1746-6180 1746-6172 |
| Popis: | Mechatronics often involves connectionist information processing. Many connectionist models of the human nervous system, such as artificial neural networks, have concentrated on the interactions between neurons. Cells in these models are typically represented as simple nodes. However, single-celled organisms have a wide range of responses that allow them to thrive in a demanding environment. Recently, information processing by single-celled organisms has been demonstrated experimentally. An archetypal example of single cell computing is maze traversal by Physarum polycephalum, a giant single-celled organism. Here, we give a preliminary demonstration that information processing in Physarum can be modelled and understood in terms of standard artificial intelligence (such as search, path finding and ant colony optimisation) constructs and known physiological responses. |
| Databáze: | OpenAIRE |
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