Pattern Matching in Discrete Models for Ecosystem Ecology

Cinzia Di Giusto, Cédric Gaucherel, Hanna Klaudel, Franck Pommereau

2019

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.

Paper Citation

in Harvard Style

Di Giusto C., Gaucherel C., Klaudel H. and Pommereau F. (2019). Pattern Matching in Discrete Models for Ecosystem Ecology. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 3: BIOINFORMATICS; ISBN 978-989-758-353-7, SciTePress, pages 101-111. DOI: 10.5220/0007485801010111

in Bibtex Style

@conference{bioinformatics19,
author={Cinzia Di Giusto and Cédric Gaucherel and Hanna Klaudel and Franck Pommereau},
title={Pattern Matching in Discrete Models for Ecosystem Ecology},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 3: BIOINFORMATICS},
year={2019},
pages={101-111},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007485801010111},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 3: BIOINFORMATICS
TI - Pattern Matching in Discrete Models for Ecosystem Ecology
SN - 978-989-758-353-7
AU - Di Giusto C.
AU - Gaucherel C.
AU - Klaudel H.
AU - Pommereau F.
PY - 2019
SP - 101
EP - 111
DO - 10.5220/0007485801010111
PB - SciTePress