Received Revised

We have determined families of two-dimensional deterministic totalistic cellular automaton rules whose stationary density of active sites exhibits a period two in time. Each family of deterministic rules is characterized by an “average probabilistic totalistic rule” exhibiting the same periodic beha...

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Main Authors: N. Boccara, M. Roger
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 1999
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.234.8542
http://arxiv.org/pdf/adap-org/9904002v1.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.234.8542 2023-05-15T16:35:26+02:00 Received Revised N. Boccara M. Roger The Pennsylvania State University CiteSeerX Archives 1999 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.234.8542 http://arxiv.org/pdf/adap-org/9904002v1.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.234.8542 http://arxiv.org/pdf/adap-org/9904002v1.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://arxiv.org/pdf/adap-org/9904002v1.pdf text 1999 ftciteseerx 2016-01-07T18:55:29Z We have determined families of two-dimensional deterministic totalistic cellular automaton rules whose stationary density of active sites exhibits a period two in time. Each family of deterministic rules is characterized by an “average probabilistic totalistic rule” exhibiting the same periodic behavior. Many natural populations of plants and animals exhibit large fluctuations of density with a roughly cyclic behavior. A well-known example is the oscillatory behavior of the Canadian lynx population as documented in the data compiled by the Hudson Bay Company over the period 1735-1940. Oscillations with an approximate period of about 10 years are observed with large amplitude fluctuations, which could, actually, correspond to a chaotic behavior. 1,2 Good introductions to population dynamics may be found in May 3 and Murray. 4 Most models in population dynamics are formulated in terms of differential equations or difference equations, which means that the local character of the interactions between prey and predators, for example, is not taken into account. In order to describe more correctly the local character of the predation process, it would be better to formulate predatorprey Text Hudson Bay Lynx Unknown Hudson Hudson Bay
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description We have determined families of two-dimensional deterministic totalistic cellular automaton rules whose stationary density of active sites exhibits a period two in time. Each family of deterministic rules is characterized by an “average probabilistic totalistic rule” exhibiting the same periodic behavior. Many natural populations of plants and animals exhibit large fluctuations of density with a roughly cyclic behavior. A well-known example is the oscillatory behavior of the Canadian lynx population as documented in the data compiled by the Hudson Bay Company over the period 1735-1940. Oscillations with an approximate period of about 10 years are observed with large amplitude fluctuations, which could, actually, correspond to a chaotic behavior. 1,2 Good introductions to population dynamics may be found in May 3 and Murray. 4 Most models in population dynamics are formulated in terms of differential equations or difference equations, which means that the local character of the interactions between prey and predators, for example, is not taken into account. In order to describe more correctly the local character of the predation process, it would be better to formulate predatorprey
author2 The Pennsylvania State University CiteSeerX Archives
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author N. Boccara
M. Roger
spellingShingle N. Boccara
M. Roger
Received Revised
author_facet N. Boccara
M. Roger
author_sort N. Boccara
title Received Revised
title_short Received Revised
title_full Received Revised
title_fullStr Received Revised
title_full_unstemmed Received Revised
title_sort received revised
publishDate 1999
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.234.8542
http://arxiv.org/pdf/adap-org/9904002v1.pdf
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http://arxiv.org/pdf/adap-org/9904002v1.pdf
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