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Pattern Matching in discrete Models for Ecosystem Ecology

Abstract : In this paper we consider discrete qualitative models of ecosystems viewed as collections of interacting living (animals, plants.. .) and nonliving entities (air, water, soil.. .), whose conditions of appearance/disappearance are controlled by a set of formal rules (i.e., processes). We present here a rule-based method allowing to compare ecosystems. The method relies on a measure of similarity and on an optimization algorithm. In addition, the proposed method allows to detect patterns (i.e., ecological processes or sets of processes) in ecosystems. We have validated the method by applying it against a set of models and patterns provided by ecologists.
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Submitted on : Thursday, January 31, 2019 - 5:25:58 PM
Last modification on : Saturday, June 25, 2022 - 11:33:57 PM
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  • HAL Id : hal-02002550, version 1


Cinzia Di Giusto, Cédric Gaucherel, Hanna Klaudel, Franck Pommereau. Pattern Matching in discrete Models for Ecosystem Ecology. 10th International Conference on Bioinformatics Models, Methods and Algorithms (Bioinformatics 2019), Feb 2019, Prague, Czech Republic. pp.101--111. ⟨hal-02002550⟩



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