Quick Search:

uzh logo
Browse by:
bullet
bullet
bullet
bullet

Zurich Open Repository and Archive

Maintenance: Tuesday, July the 26th 2016, 07:00-10:00

ZORA's new graphical user interface will be relaunched (For further infos watch out slideshow ZORA: Neues Look & Feel). There will be short interrupts on ZORA Service between 07:00am and 10:00 am. Please be patient.

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: Springer, 525-533.

Full text not available from this repository.

View at publisher

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.

Citations

Altmetrics

Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:17 September 2009
Deposited On:19 Mar 2010 11:42
Last Modified:05 Apr 2016 14:00
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

Users (please log in): suggest update or correction for this item

Repository Staff Only: item control page