Schüle, M; Ott, T; Stoop, R (2009). Computing with probabilistic cellular automata. In: Alippi, C. Artificial Neural Networks – ICANN 2009. 19th international conference, Limassol, Cyprus, September 14 - 17, 2009; proceedings, part II. Berlin, 525-533. ISBN 978-3-642-04276-8 (P) 978-3-642-04277-5 (E).
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Abstract
We investigate the computational capabilities of probabilistic cellular automata by means of the density classification problem. We find that a specific probabilistic cellular automata rule is able to solve the density classification problem, i.e. classifies binary input strings according to the number of 1’s and 0’s in the string, and show that its computational abilities are related to critical behaviour at a phase transition.
| Item Type: | Book Section, refereed, original work |
|---|---|
| Communities & Collections: | 07 Faculty of Science > Institute of Neuroinformatics |
| DDC: | 570 Life sciences; biology |
| Language: | English |
| Date: | 17 September 2009 |
| Deposited On: | 19 Mar 2010 12:42 |
| Last Modified: | 23 Nov 2012 14:08 |
| Publisher: | Springer |
| Series Name: | Lecture Notes in Computer Science |
| Number: | 5769 |
| ISSN: | 0302-9743 (P) 1611-3349 (E) |
| ISBN: | 978-3-642-04276-8 (P) 978-3-642-04277-5 (E) |
| Additional Information: | International Conference on Artificial Neural Networks ; 19 (Limassol) : 2009.09.14-17 |
| Publisher DOI: | 10.1007/978-3-642-04277-5_53 |
| Related URLs: | http://www.ini.uzh.ch/node/22237 |
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