dc.creator | Duan, Yingying | es |
dc.creator | Zhang, Gexiang | es |
dc.creator | Qi, Dunwu | es |
dc.creator | Valencia Cabrera, Luis | es |
dc.creator | Rong, Haina | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.date.accessioned | 2021-11-24T12:44:01Z | |
dc.date.available | 2021-11-24T12:44:01Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Duan, Y., Zhang, G., Qi, D., Valencia Cabrera, L., Rong, H. y Pérez Jiménez, M.d.J. (2019). A review of membrane computing models for ecosystems and a case study on giant pandas. En ACMC 2019: The 8th Asian Conference on Membrane Computing (384-424), Xiamen, China: IMCS: International Membrane Computing Society. | |
dc.identifier.uri | https://hdl.handle.net/11441/127647 | |
dc.description.abstract | Ecosystem modeling based on membrane computing is emerging
as a powerful way to study the dynamic of (real) ecological populations.
These models, providing distributed parallel devices, have shown
a great potential to imitate the rich features observed in the behavior
of species and their interactions, key elements to understand and model
ecosystems. Compared with differential equations, membrane computing
models, a.k.a. P systems, can model more complex biological phenomena,
due to their modularity, their ability to enclose the evolution of different
environments and simulate in parallel different interrelated processes.
In this paper, a comprehensive survey of membrane computing
models for ecosystems is given, taking a giant panda ecosystem as an
example to assess the models performance. This work aims at modeling
a number of species using P systems with different membrane structure
types to predict the number of individuals depending on parameters
such as reproductive rate, mortality rate, and rescue or release. Firstly,
the computing models are introduced conceptually, explaining the use of
the rules. Next, various modeled species (including endangered animals,
plants, and bacteria) are summarized, and some computer tools are presented.
Then, a discussion follows on the use of P systems for ecosystem
modeling. Finally, a case study on giant pandas in Chengdu Base is analyzed,
concluding that the study in this field by using single environment
systems can provide a valuable tool to deepen into the knowledge about
the evolution of the overall ecosystem. This could ultimately help in the
decision making processes of the managers of the ecosystem to increase
the species diversity and modify the adaptability. Also, we should consider
the impacts of natural disasters on population dynamics of species.
To this purpose, the analysis performed has provided a considerably more
feasible prediction data than those so far been harvested. | es |
dc.format | application/pdf | es |
dc.format.extent | 25 | es |
dc.language.iso | eng | es |
dc.publisher | IMCS: International Membrane Computing Society | es |
dc.relation.ispartof | ACMC 2019: The 8th Asian Conference on Membrane Computing (2019), pp. 384-424. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Membrane computing | es |
dc.subject | Ecosystem Modeling | es |
dc.subject | Endangered Species | es |
dc.title | A review of membrane computing models for ecosystems and a case study on giant pandas | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.contributor.group | Universidad de Sevilla. TIC193 : Computación Natural | es |
dc.publication.initialPage | 384 | es |
dc.publication.endPage | 424 | es |
dc.eventtitle | ACMC 2019: The 8th Asian Conference on Membrane Computing | es |
dc.eventinstitution | Xiamen, China | es |
dc.relation.publicationplace | Xiamen, China | es |