SIMALL: Emotional BDI Model for Customer Simulation in a Mall
Modeling customer behavior and exploring the motivations that drive their actions within a shopping mall is the subject of study in multiple works, which has generated new theories in marketing and related areas. However, seen from a computational perspective, the modeling of this system is complex...
- Autores:
-
Valencia, Daniel S.
Serrano, Jairo E.
Gonzalez, Enrique
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12179
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12179
- Palabra clave:
- Agent-based simulator
Customer simulation
Emotional BDI
Mall simulation
Purchasing intention
Shopping centers
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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SIMALL: Emotional BDI Model for Customer Simulation in a Mall |
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SIMALL: Emotional BDI Model for Customer Simulation in a Mall |
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SIMALL: Emotional BDI Model for Customer Simulation in a Mall Agent-based simulator Customer simulation Emotional BDI Mall simulation Purchasing intention Shopping centers |
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SIMALL: Emotional BDI Model for Customer Simulation in a Mall |
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SIMALL: Emotional BDI Model for Customer Simulation in a Mall |
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SIMALL: Emotional BDI Model for Customer Simulation in a Mall |
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SIMALL: Emotional BDI Model for Customer Simulation in a Mall |
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SIMALL: Emotional BDI Model for Customer Simulation in a Mall |
| dc.creator.fl_str_mv |
Valencia, Daniel S. Serrano, Jairo E. Gonzalez, Enrique |
| dc.contributor.author.none.fl_str_mv |
Valencia, Daniel S. Serrano, Jairo E. Gonzalez, Enrique |
| dc.subject.keywords.spa.fl_str_mv |
Agent-based simulator Customer simulation Emotional BDI Mall simulation Purchasing intention Shopping centers |
| topic |
Agent-based simulator Customer simulation Emotional BDI Mall simulation Purchasing intention Shopping centers |
| description |
Modeling customer behavior and exploring the motivations that drive their actions within a shopping mall is the subject of study in multiple works, which has generated new theories in marketing and related areas. However, seen from a computational perspective, the modeling of this system is complex given its emergent behavioral nature. In this paper, we propose a decision support model through a simulation implemented with multi-agent systems emphasizing the emotional BDI model and fuzzy logic decision making. This simulator is used to recognize improvement opportunities for businesses operation within a shopping mall. © 2022, Springer Nature Switzerland AG. |
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2022 |
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2022-11-15 |
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2023-07-19T21:16:40Z |
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2023-07-19T21:16:40Z |
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2023-07 |
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Valencia, D.S., Serrano, J.E, González, E. SIMALL: Emotional BDI Model for Customer Simulation in a Mall (2022) Communications in Computer and Information Science, 1594 CCIS, pp. 3-18. DOI: 10.1007/978-3-031-19951-6_1 |
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https://hdl.handle.net/20.500.12585/12179 |
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10.1007/978-3-031-19951-6_1 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
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Valencia, D.S., Serrano, J.E, González, E. SIMALL: Emotional BDI Model for Customer Simulation in a Mall (2022) Communications in Computer and Information Science, 1594 CCIS, pp. 3-18. DOI: 10.1007/978-3-031-19951-6_1 10.1007/978-3-031-19951-6_1 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/12179 |
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eng |
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eng |
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16 páginas |
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application/pdf |
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Cartagena de Indias |
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Valencia, Daniel S.1849d486-898d-4f2c-857d-e92b65b9a7abSerrano, Jairo E.858ddcba-7133-4518-bcf0-140fd228d579Gonzalez, Enriquebaebfa7c-2d51-432f-bb27-83c32bfa2afa2023-07-19T21:16:40Z2023-07-19T21:16:40Z2022-11-152023-07Valencia, D.S., Serrano, J.E, González, E. SIMALL: Emotional BDI Model for Customer Simulation in a Mall (2022) Communications in Computer and Information Science, 1594 CCIS, pp. 3-18. DOI: 10.1007/978-3-031-19951-6_1https://hdl.handle.net/20.500.12585/1217910.1007/978-3-031-19951-6_1Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarModeling customer behavior and exploring the motivations that drive their actions within a shopping mall is the subject of study in multiple works, which has generated new theories in marketing and related areas. However, seen from a computational perspective, the modeling of this system is complex given its emergent behavioral nature. In this paper, we propose a decision support model through a simulation implemented with multi-agent systems emphasizing the emotional BDI model and fuzzy logic decision making. This simulator is used to recognize improvement opportunities for businesses operation within a shopping mall. © 2022, Springer Nature Switzerland AG.16 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_abf2Communications in Computer and Information Science - Vol. 1594 (2022)SIMALL: Emotional BDI Model for Customer Simulation in a Mallinfo: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_2df8fbb1Agent-based simulatorCustomer simulationEmotional BDIMall simulationPurchasing intentionShopping centersCartagena 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/S0269888916000096Cited 2 times. Ali, W., Moulin, B.: 2D-3D MultiAgent GeoSimulation with Knowledge-Based Agents of Customers’ Shopping Behavior in a Shopping Mall. In: Cohn, A.G., Mark, D.M. (eds.) COSIT 2005. LNCS, vol. 3693, pp. 445–458. Springer, Heidelberg (2005). https://doi.org/10.1007/11556114 28(2014) Andres Armando De La Peña: Roboact Modelo De Control autónomo Y Cooperativo Para El Teatro Robótico Ph.D. thesisÁngel, R., González, E. Agent-based social simulation: General requirements and for a Colombian approach (2012) 2012 7th Colombian Computing Congress, CCC 2012 - Conference Proceedings, art. no. 6398033. ISBN: 978-146731476-3 doi: 10.1109/ColombianCC.2012.6398033Boero, R., Bravo, G., Castellani, M., Squazzoni, F. Why bother with what others tell you? An experimental data-driven agent-based model (2010) JASSS, 13 (3). Cited 38 times. http://jasss.soc.surrey.ac.uk/13/3/6.html doi: 10.18564/jasss.1620Bratman, M.E., Israel, D.J., Pollack, M.E.: Plans and resource-bounded practical reasoning. Comput. Intell. 4(3), 349–355 (9 1988). https://doi.org/10.1111/j.14678640.1988.tb00284.xBray, J.P. (2008) Consumer Behaviour Theory: Approaches and Models, pp. 1-33. Cited 50 times. http://eprints.bournemouth.ac.uk/10107/4/licence.txtBurke, R.R., Leykin, A. Identifying the drivers of shopper attention, engagement, and purchase (2021) The Routledge Companion to Marketing Research, pp. 319-355. https://www.routledge.com/products/9781138682788 ISBN: 978-113482679-7; 978-113868278-8Copley, P. (2015) For the Love of Aida-Developing the Hierarchy of Effects Model in SME Social Media Marketing Strategy. ISBE Conference, pp. 1-15.González, E., Avila, J., Bustacara, C. (2003) BESA Behavior-Oriented Social-Based Agent Framework. undefined, Event-DrivenHan, F., Liu, L., Zhang, Y. Pathfinder-Based Simulation and Optimisation of Personnel Evacuation Modelling of a Shopping Mall (Open Access) (2021) Journal of Physics: Conference Series, 1757 (1), art. no. 012112. Cited 5 times. http://iopscience.iop.org/journal/1742-6596 doi: 10.1088/1742-6596/1757/1/012112Hu, J., Guan, C. A model of emotional agent based on granular computing (2011) Proceedings - 2011 7th International Conference on Computational Intelligence and Security, CIS 2011, art. no. 6128103, pp. 190-194. ISBN: 978-076954584-4 doi: 10.1109/CIS.2011.50Lisotto, M., Coscia, P., Ballan, L. Social and scene-aware trajectory prediction in crowded spaces (2019) Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, art. no. 9021955, pp. 2567-2574. Cited 35 times. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8982559 ISBN: 978-172815023-9 doi: 10.1109/ICCVW.2019.00314Luneski, A., Moore, R.K. Affective computing and collaborative networks: Towards emotion-aware interaction (2008) IFIP International Federation for Information Processing, 283, pp. 315-322. Cited 9 times. ISBN: 978-038784836-5 doi: 10.1007/978-0-387-84837-2_32MacDowell, K.A., Mandler, G. Constructions of emotion: Discrepancy, arousal, and mood (Open Access) (1989) Motivation and Emotion, 13 (2), pp. 105-124. Cited 39 times. doi: 10.1007/BF00992957Moga, H., Sandu, F., Danciu, G.M., Boboc, R., Constantinescu, I. Extended control-value emotional agent based on fuzzy logic approach (2013) Proceedings - RoEduNet IEEE International Conference, art. no. 6511734. Cited 3 times. ISBN: 978-146736114-9 doi: 10.1109/RoEduNet.2013.6511734Ortony, A., Clore, G.L., Collins, A. The Cognitive Structure of Emotions (1988) Cambridge University Press (7. Cited 4695 times. https://doi.org/10.1017/CBO9780511571299Rodríguez, J., Torres, M., González, E. LA METODOLOGÍA AOPOA (2007) Avances En Sistemas E Informática 4(2) (5. Cited 2 times.Roux, G. Quenches in quantum many-body systems: One-dimensional Bose-Hubbard model reexamined (Open Access) (2009) Physical Review A - Atomic, Molecular, and Optical Physics, 79 (2), art. no. 021608. Cited 110 times. http://oai.aps.org/oai?verb=GetRecord&Identifier=oai:aps.org:PhysRevA.79.021608&metadataPrefix=oai_apsmeta_2 doi: 10.1103/PhysRevA.79.021608Shannon, R.E. Simulation: A survey with research suggestions (1975) AIIE Transactions, 8 (1), pp. 289-296. Cited 18 times. doi: 10.1080/05695557508975433Silverman, E. Analysis: Frameworks and theories for social simulation (2018) Methodological Investigations in Agent-Based Modelling, pp. 107-123. Springer International Publishing, Cham https://doi.org/10.1007/978-3-319-72408-9 6Squazzoni, F., Jager, W., Edmonds, B. Social Simulation in the Social Sciences: A Brief Overview (Open Access) (2014) Social Science Computer Review, 32 (3), pp. 279-294. 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