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A new modelling approach for zooplankton behaviour

Authors
Journal
Deep Sea Research Part II Topical Studies in Oceanography
0967-0645
Publisher
Elsevier
Publication Date
Volume
41
Issue
1
Identifiers
DOI: 10.1016/0967-0645(94)90066-3
Disciplines
  • Biology
  • Computer Science
  • Design

Abstract

Abstract We have developed a new simulation technique to model zooplankton behaviour. The approach utilizes neither the conventional artificial intelligence nor neural network methods. We have designed an adaptive behaviour network, which is similar to Beer [(1990) Intelligence as an adaptive behaviour: an experiment in computational neuroethology, Academic Press], based on observational studies of zooplankton behaviour. The proposed method is compared with non- “intelligent” models—random walk and correlated walk models—as well as observed behaviour in a laboratory tank. Although the network is simple, the model exhibits rich behavioural patterns similar to live copepods.

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