Multi-agent CHANS: BDI Farmer Intentions and Decision Making
This paper extends previous works on multi-agent-based simulation models of Coupled Human and Natural Systems (CHANS), by introducing a farmer agent model capable of interact with environmental, economic, and spatial variables in the context of supply and demand of environmental services. Emphasis i...
- Autores:
-
Muto, Tito Julio
Buitrago Bolivar, Elias
Serrano, Jairo E.
González, Enrique
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12393
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12393
- Palabra clave:
- Sleuths;
Cellular Automaton Model;
Urbanization
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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| dc.title.spa.fl_str_mv |
Multi-agent CHANS: BDI Farmer Intentions and Decision Making |
| title |
Multi-agent CHANS: BDI Farmer Intentions and Decision Making |
| spellingShingle |
Multi-agent CHANS: BDI Farmer Intentions and Decision Making Sleuths; Cellular Automaton Model; Urbanization LEMB |
| title_short |
Multi-agent CHANS: BDI Farmer Intentions and Decision Making |
| title_full |
Multi-agent CHANS: BDI Farmer Intentions and Decision Making |
| title_fullStr |
Multi-agent CHANS: BDI Farmer Intentions and Decision Making |
| title_full_unstemmed |
Multi-agent CHANS: BDI Farmer Intentions and Decision Making |
| title_sort |
Multi-agent CHANS: BDI Farmer Intentions and Decision Making |
| dc.creator.fl_str_mv |
Muto, Tito Julio Buitrago Bolivar, Elias Serrano, Jairo E. González, Enrique |
| dc.contributor.author.none.fl_str_mv |
Muto, Tito Julio Buitrago Bolivar, Elias Serrano, Jairo E. González, Enrique |
| dc.subject.keywords.spa.fl_str_mv |
Sleuths; Cellular Automaton Model; Urbanization |
| topic |
Sleuths; Cellular Automaton Model; Urbanization LEMB |
| dc.subject.armarc.none.fl_str_mv |
LEMB |
| description |
This paper extends previous works on multi-agent-based simulation models of Coupled Human and Natural Systems (CHANS), by introducing a farmer agent model capable of interact with environmental, economic, and spatial variables in the context of supply and demand of environmental services. Emphasis is made on how the Farmer Agent implements the BDI framework (Believes, Desires, and Intentions) at its core. Also, insights about its decision-making mechanism based on fuzzy logic are provided. Preliminary results are shown in terms of modulating variables such as knowledge, money, well-being, energy, and productivity. © 2021, Springer Nature Switzerland AG. |
| publishDate |
2021 |
| dc.date.issued.none.fl_str_mv |
2021 |
| dc.date.accessioned.none.fl_str_mv |
2023-07-21T20:50:29Z |
| dc.date.available.none.fl_str_mv |
2023-07-21T20:50:29Z |
| dc.date.submitted.none.fl_str_mv |
2023 |
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Muto, T. J., Bolivar, E. B., Serrano, J. E., & González, E. (2021, September). Multi-agent CHANS: BDI Farmer Intentions and Decision Making. In International Conference on Practical Applications of Agents and Multi-Agent Systems (pp. 151-162). Cham: Springer International Publishing. |
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https://hdl.handle.net/20.500.12585/12393 |
| dc.identifier.doi.none.fl_str_mv |
10.1007/978-3-030-85739-4_13 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
| dc.identifier.reponame.spa.fl_str_mv |
Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Muto, T. J., Bolivar, E. B., Serrano, J. E., & González, E. (2021, September). Multi-agent CHANS: BDI Farmer Intentions and Decision Making. In International Conference on Practical Applications of Agents and Multi-Agent Systems (pp. 151-162). Cham: Springer International Publishing. 10.1007/978-3-030-85739-4_13 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/12393 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
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http://purl.org/coar/access_right/c_abf2 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
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openAccess |
| dc.format.extent.none.fl_str_mv |
10 páginas |
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application/pdf |
| dc.publisher.place.spa.fl_str_mv |
Cartagena de Indias |
| dc.source.spa.fl_str_mv |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Universidad Tecnológica de Bolívar |
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Muto, Tito Julioed68b977-089d-4e11-88ef-ca0ac9d395a6Buitrago Bolivar, Elias1183e985-36c0-4675-8577-b81786d74a96Serrano, Jairo E.858ddcba-7133-4518-bcf0-140fd228d579González, Enriqueb1f403ac-f8bc-4842-8438-3efc0ebf6bd92023-07-21T20:50:29Z2023-07-21T20:50:29Z20212023Muto, T. J., Bolivar, E. B., Serrano, J. E., & González, E. (2021, September). Multi-agent CHANS: BDI Farmer Intentions and Decision Making. In International Conference on Practical Applications of Agents and Multi-Agent Systems (pp. 151-162). Cham: Springer International Publishing.https://hdl.handle.net/20.500.12585/1239310.1007/978-3-030-85739-4_13Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis paper extends previous works on multi-agent-based simulation models of Coupled Human and Natural Systems (CHANS), by introducing a farmer agent model capable of interact with environmental, economic, and spatial variables in the context of supply and demand of environmental services. Emphasis is made on how the Farmer Agent implements the BDI framework (Believes, Desires, and Intentions) at its core. Also, insights about its decision-making mechanism based on fuzzy logic are provided. Preliminary results are shown in terms of modulating variables such as knowledge, money, well-being, energy, and productivity. © 2021, Springer Nature Switzerland AG.10 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Multi-agent CHANS: BDI Farmer Intentions and Decision Makinginfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Sleuths;Cellular Automaton Model;UrbanizationLEMBCartagena de IndiasAdam, C., Gaudou, B. BDI agents in social simulations: A survey (2016) Knowledge Engineering Review, 31 (3), pp. 207-238. Cited 86 times. http://uk.cambridge.org/journals/ker/ doi: 10.1017/S0269888916000096Balke, T., Gilbert, N. How do agents make decisions? A survey (2014) JASSS, 17 (4), p. 1. Cited 118 times. http://jasss.soc.surrey.ac.uk/17/4/13.html doi: 10.18564/jasss.2687Filatova, T., Verburg, P.H., Parker, D.C., Stannard, C.A. Spatial agent-based models for socio-ecological systems: Challenges and prospects (2013) Environmental Modelling and Software, 45, pp. 1-7. Cited 312 times. doi: 10.1016/j.envsoft.2013.03.017Groeneveld, J., Müller, B., Buchmann, C.M., Dressler, G., Guo, C., Hase, N., Hoffmann, F., (...), Schwarz, N. Theoretical foundations of human decision-making in agent-based land use models – A review (2017) Environmental Modelling and Software, 87, pp. 39-48. Cited 182 times. www.elsevier.com/inca/publications/store/4/2/2/9/2/1 doi: 10.1016/j.envsoft.2016.10.008Malawska, A., Topping, C.J. Applying a biocomplexity approach to modelling farmer decision-making and land use impacts on wildlife (2018) Journal of Applied Ecology, 55 (3), pp. 1445-1455. Cited 8 times. http://www.blackwellpublishing.com/journals/JPE doi: 10.1111/1365-2664.13024Cited 2 times. Muto, T.J., Bolivar, E.B., González, E.: BDI multi-agent based simulation model for social ecological systems. In: De La Prieta, F., et al. (eds.) PAAMS 2020. CCIS, vol. 1233, pp. 279–288. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-51999-5 23Ruiz Agudelo, C.A. Hacia una economía verde en Colombia: Diseño e implementación de un esquema de Pago por Servicios Ecosistémicos (PSE) en el marco del ordenamiento territorial. Fases de diseño e implementación temprana. Caso cuenca del rio Ranchería. Departamento de la Guajira-Colombia (2013) Reflexiones Sobre El Capital Natural De Colombia (3)Schulze, J., Müller, B., Groeneveld, J., Grimm, V. Agent-based modelling of social-ecological systems: Achievements, challenges, and a way forward (Open Access) (2017) JASSS, 20 (2), art. no. 8. 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