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...

Full description

Autores:
Julio Muto, Tito
Buitrago Bolívar, Elias
Serrano, Jairo E.
Gonzalez, 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:20.500.12585/10415
Acceso en línea:
https://hdl.handle.net/20.500.12585/10415
https://doi.org/10.1007/978-3-030-85739-4_13
Palabra clave:
Complex-environmental systems
Multi-agent systems
Emotional BDI
Multi-agent simulation
BDI agent
Fuzzy logic
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
Complex-environmental systems
Multi-agent systems
Emotional BDI
Multi-agent simulation
BDI agent
Fuzzy logic
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 Julio Muto, Tito
Buitrago Bolívar, Elias
Serrano, Jairo E.
Gonzalez, Enrique
dc.contributor.author.none.fl_str_mv Julio Muto, Tito
Buitrago Bolívar, Elias
Serrano, Jairo E.
Gonzalez, Enrique
dc.subject.keywords.spa.fl_str_mv Complex-environmental systems
Multi-agent systems
Emotional BDI
Multi-agent simulation
BDI agent
Fuzzy logic
topic Complex-environmental systems
Multi-agent systems
Emotional BDI
Multi-agent simulation
BDI agent
Fuzzy logic
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.
publishDate 2021
dc.date.issued.none.fl_str_mv 2021-09-25
dc.date.accessioned.none.fl_str_mv 2022-01-27T14:53:54Z
dc.date.available.none.fl_str_mv 2022-01-27T14:53:54Z
dc.date.submitted.none.fl_str_mv 2022-01-26
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
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dc.type.spa.spa.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.citation.spa.fl_str_mv Muto T.J., Bolivar E.B., Serrano J.E., González E. (2021) Multi-agent CHANS: BDI Farmer Intentions and Decision Making. In: Dignum F., Corchado J.M., De La Prieta F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Lecture Notes in Computer Science, vol 12946. Springer, Cham. https://doi.org/10.1007/978-3-030-85739-4_13
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/10415
dc.identifier.doi.none.fl_str_mv https://doi.org/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) Multi-agent CHANS: BDI Farmer Intentions and Decision Making. In: Dignum F., Corchado J.M., De La Prieta F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Lecture Notes in Computer Science, vol 12946. Springer, Cham. https://doi.org/10.1007/978-3-030-85739-4_13
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/10415
https://doi.org/10.1007/978-3-030-85739-4_13
dc.language.iso.spa.fl_str_mv eng
language eng
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dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessRights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.cc.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 12 Páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.source.spa.fl_str_mv Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection - vol. 12946
institution Universidad Tecnológica de Bolívar
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spelling Julio Muto, Titob21a1b3f-0ba1-496a-ba6d-b8e09da12742Buitrago Bolívar, Elias906de130-46e3-4328-822e-e49fa371a7c2Serrano, Jairo E.fc39a2a7-1db9-4094-b54c-907bb4c863d0Gonzalez, Enriquebaebfa7c-2d51-432f-bb27-83c32bfa2afa2022-01-27T14:53:54Z2022-01-27T14:53:54Z2021-09-252022-01-26Muto T.J., Bolivar E.B., Serrano J.E., González E. (2021) Multi-agent CHANS: BDI Farmer Intentions and Decision Making. In: Dignum F., Corchado J.M., De La Prieta F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Lecture Notes in Computer Science, vol 12946. Springer, Cham. https://doi.org/10.1007/978-3-030-85739-4_13https://hdl.handle.net/20.500.12585/10415https://doi.org/10.1007/978-3-030-85739-4_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.12 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_abf2Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection - vol. 12946Multi-agent CHANS: BDI Farmer Intentions and Decision Makinginfo:eu-repo/semantics/articleinfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/resource_type/c_2df8fbb1Complex-environmental systemsMulti-agent systemsEmotional BDIMulti-agent simulationBDI agentFuzzy logicLEMBCartagena de IndiasAdam, C., Gaudou, B.: BDI agents in social simulations: a survey. Knowl. Eng. Rev. 31(3), 207–238 (2016). https://doi.org/10.1017/S0269888916000096Balke, T., Gilbert, N.: How do agents make decisions? A survey. JASSS 17(4), 1 (2014). https://doi.org/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. Environ. Model. Softw. 45, 1–7 (2013). https://doi.org/10.1016/j.envsoft.2013.03.017Gonz´alez, E., Avila, J., Bustacara, C.: BESA: Behavior-Oriented, Event-Driven, Social-Based Agent Framework. Undefined (2003)Groeneveld, J., et al.: Theoretical foundations of human decision-making in agentbased land use models - a review. Environ. Model. Softw. 87, 39–48 (2017). https:// doi.org/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. J. Appl. Ecol. 55(3), 1445–1455 (2018). https://doi.org/10.1111/1365-2664.13024Matthews, R.B., Gilbert, N.G., Roach, A., Polhill, J.G., Gotts, N.M.: Agent-based land-use models: a review of applications (2007). https://doi.org/10.1007/s10980- 007-9135-1. https://link.springer.com/article/10.1007/s10980-007-9135-1Muto, T.J., Bolivar, E.B., Gonz´alez, 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 23Rao, A., Georgeff, M.P.: Modeling rational agents within a BDI-architecture. In: Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning (1991). https://doi.org/10.5555/3087158.3087205. https://dl-acm-org.ezproxy.javeriana.edu.co/doi/10.5555/3087158.3087205Rodr´ıguez, J., Torres, M., Gonz´alez, E.: La Metodolog´ıa Aopoa. Avances en Sistemas e Inform´atica 4(2) (2007)Ruiz Agudelo, C.A., et al.: Hacia una econom´ıa verde en Colombia: dise˜no e implementaci´on de un esquema de Pago por Servicios Ecosist´emicos (PSE) en el marco del ordenamiento territorial. Fases de dise˜no e implementaci´on temprana. Caso cuenca del rio Rancher´ıa. Departamento de la Guajira-Colombia. Reflexiones sobre el Capital Natural de Colombia (3) (2013)Schulze, J., M¨uller, B., Groeneveld, J., Grimm, V.: Agent-based modelling of socialecological systems: achievements, challenges, and a way forward. J. Artif. Soc. Soc. 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