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Virtual Agent Societies to Provide Solutions to an Investment Problem

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Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference (DCAI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1242))

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Abstract

This research uses the paradigm of Virtual Agent Societies (multi-agent systems) to model and automate the administration of investment portfolios, equipped with sentiment analysis to propose more optimal solutions adapted to market requirements. The agents act and collaborate with a certain autonomy and intelligence to provide solutions to an investment problem. This design is made by different artificial intelligence techniques capable of extracting knowledge and anticipating the appearance of anomalous situations.

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References

  1. Ferreira, A.S., Pozo, A., Gonçalves, R.A.: An ant colony based hyper-heuristic approach for the set covering problem. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 4(1) (2015). ISSN 2255-2863

    Google Scholar 

  2. Valdivia, A.K.C.: Between the profiles pay per view and the protection of personal data: the product is you. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(1) (2017). ISSN 2255-2863

    Google Scholar 

  3. Sergio, A., Carvalho, S., Rego, M.: On the use of compact approaches in evolution strategies. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 3(4) (2014). ISSN 2255-2863

    Google Scholar 

  4. Závodská, A., Šramová, V., Aho, A.-M.: Knowledge in value creation process for increasing competitive advantage. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 1(3) (2012). ISSN 2255-2863

    Google Scholar 

  5. Baruque, B., Corchado, E., Mata, A., Corchado, J.M.: A forecasting solution to the oil spill problem based on a hybrid intelligent system. Inf. Sci. 180(10), 2029–2043 (2010)

    Article  Google Scholar 

  6. Carvalhal, C., Deusdado, S., Deusdado, L.: Crawling PubMed with web agents for literature search and alerting services. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 2(1). ISSN 2255-2863

    Google Scholar 

  7. Casado-Vara, R., Chamoso, P., De la Prieta, F., Prieto, J., Corchado, J.M.: Non-linear adaptive closed-loop control system for improved efficiency in IoT-blockchain management. Inf. Fusion 49, 227–239 (2019)

    Article  Google Scholar 

  8. Casado-Vara, R., Martin-del Rey, A., Affes, S., Prieto, J., Corchado, J.M.: IoT network slicing on virtual layers of homogeneous data for improved algorithm operation in smart buildings. Future Gen. Comput. Syst. 102, 965–977 (2020)

    Article  Google Scholar 

  9. Casado-Vara, R., Novais, P., Gil, A.B., Prieto, J., Corchado, J.M.: Distributed continuous-time fault estimation control for multiple devices in IoT networks. IEEE Access 7, 11972–11984 (2019)

    Article  Google Scholar 

  10. Casado-Vara, R., Prieto, J., De la Prieta, F., Corchado, J.M.: How blockchain improves the supply chain: case study alimentary supply chain. Procedia Comput. Sci. 134, 393–398 (2018)

    Article  Google Scholar 

  11. Chamoso, P., González-Briones, A., Rodríguez, S., Corchado, J.M.: Tendencies of technologies and platforms in smart cities: a state-of-the-art review. Wirel. Commun. Mob. Comput. (2018)

    Google Scholar 

  12. Choon, Y.W., Mohamad, M.S., Safaai Deris, R.M., Illias, C.K.C., Chai, L.E., Omatu, S., Corchado, J.M.: Differential bees flux balance analysis with OptKnock for in silico microbial strains optimization. PloS One 9(7) (2014)

    Google Scholar 

  13. Martins, C., Silva, A.R., Martins, C., Marreiros, G.: Supporting informed decision making in prevention of prostate cancer. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 3(3). ISSN 2255-2863

    Google Scholar 

  14. Corchado, J.M., Aiken, J.: Hybrid artificial intelligence methods in oceanographic forecast models. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 32(4), 307–313 (2002)

    Google Scholar 

  15. Corchado, J.M., Fyfe, C.: Unsupervised neural method for temperature forecasting. Artif. Intell. Eng. 13(4), 351–357 (1999)

    Article  Google Scholar 

  16. Corchado, J.M., Lees, B.: A hybrid case-based model for forecasting. Appl. Artif. Intell. 15(2), 105–127 (2001)

    Article  Google Scholar 

  17. Corchado, J.M., Corchado, E.S., Aiken, J., Fyfe, C., Fernandez, F., Gonzalez, M.: Maximum likelihood hebbian learning based retrieval method for CBR systems. In: International Conference on Case-Based Reasoning, pp. 107–121. Springer, Heidelberg (2003)

    Google Scholar 

  18. Corchado, J.M., Pavón, J., Corchado, E.S., Castillo, L.F.: Development of CBR-BDI agents: a tourist guide application. In: European Conference on Case-based Reasoning, pp. 547–559. Springer, Berlin (2004)

    Google Scholar 

  19. Coria, J.A.G., Castellanos-Garzón, J.A., Corchado, J.M.: Intelligent business processes composition based on multi-agent systems. Expert Syst. Appl. 41(4), 1189–1205 (2014)

    Article  Google Scholar 

  20. Sánchez, D.L., Revuelta, J., De La Prieta, F., Dang, C.: Analysis and visualization of social user communities. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 4(3). ISSN 2255-2863

    Google Scholar 

  21. Griol, D., Molina, J.: Measuring the differences between human-human and human-machine dialogs. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 4(2) (2015). ISSN 2255-2863

    Google Scholar 

  22. Díaz, F., Fdez-Riverola, F., Corchado, J.M.: gene-CBR: a case-based reasoning tool for cancer diagnosis using microarray data sets. Comput. Intell. 22(3–4), 254–268 (2006)

    Article  MathSciNet  Google Scholar 

  23. Iglesias, E.L., Borrajo, L., Romero, R.: A HMM text classification model with learning capacity. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 3(3) (2014). ISSN 2255-2863

    Google Scholar 

  24. Fdez-Riverola, F., Corchado, J.M.: FSfRT: forecasting system for red tides. Appl. Intell. 21(3), 251–264 (2004)

    Article  Google Scholar 

  25. Fdez-Riverola, F., Iglesias, E.L., Díaz, F., Méndez, J.R., Corchado, J.M.: Applying lazy learning algorithms to tackle concept drift in spam filtering. Expert Syst. Appl. 33(1), 36–48 (2007)

    Article  Google Scholar 

  26. Fdez-Riverola, F., Iglesias, E.L., Díaz, F., Méndez, J.R., Corchado, J.M.: SpamHunting: an instance-based reasoning system for spam labelling and filtering. Decis. Support Syst. 43(3), 722–736 (2007)

    Article  Google Scholar 

  27. Fernández-Riverola, F., Diaz, F., Corchado, J.M.: Reducing the memory size of a fuzzy case-based reasoning system applying rough set techniques. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 37(1), 138–146 (2006)

    Google Scholar 

  28. Fyfe, C., Corchado, J.M.: Automating the construction of CBR systems using kernel methods. Int. J. Intell. Syst. 16(4), 571–586 (2001)

    Article  Google Scholar 

  29. Di Giammarco, G., Di Mascio, T., Di Mauro, M., Tarquinio, A., Vittorini, P.: SmartHeart CABG Edu. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 4(1) (2015). ISSN 2255-2863

    Google Scholar 

  30. Glez-Bedia, M., Corchado, J.M., Corchado, E.S., Fyfe, C.: Analytical model for constructing deliberative agents. Eng. Intell. Syst. Electr. Eng. Commun. 10(3), 173–185 (2002)

    Google Scholar 

  31. González-Briones, A., Prieto, J., De La Prieta, F., Herrera-Viedma, E., Corchado, J.M.: Energy optimization using a case-based reasoning strategy. Sensors 18(3), 865 (2018)

    Article  Google Scholar 

  32. Guillén, J.H., del Rey, A.M., Casado-Vara, R.: Security countermeasures of a sciras model for advanced malware propagation. IEEE Access 7, 135472–135478 (2019)

    Article  Google Scholar 

  33. Isaza, G., Mejía, M.H., Castillo, L.F., Morales, A., Duque, N.: Network management using multi-agents system. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 1(3) (2012). ISSN 2255-2863

    Google Scholar 

  34. López-Fernández, H., Reboiro-Jato, M., Pérez Rodríguez, J.A., Fdez-Riverola, F., Glez-Peña, D.: The artificial intelligence workbench: a retrospective review. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 5(1) (2016). ISSN 2255-2863

    Google Scholar 

  35. Dargham, J.A., Chekima, A., Moung, E.G., Omatu, S.: The effect of training data selection on face recognition in surveillance application. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 3(4) (2014). ISSN 2255-2863

    Google Scholar 

  36. Agüero, J., Rebollo, M., Carrascosa, C., Julián, V.: MDD-approach for developing pervasive systems based on service-oriented multi-agent systems. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 2(3) (2013). ISSN 2255-2863

    Google Scholar 

  37. Alvarado-Pérez, J.C., Peluffo-Ordóñez, D.H., Therón, R.: Bridging the gap between human knowledge and machine learning. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 4(1) (2015). ISSN 2255-2863

    Google Scholar 

  38. Jasmine, K.S., Gavani Prathviraj, S., Rajashekar, P.I., Sumithra Devi, K.A.: Inference in belief network using logic sampling and likelihood weighing algorithms. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 2(3) (2013). ISSN 2255-2863

    Google Scholar 

  39. Matsui, K., Kimura, K., Pérez, A.: Control prosody using multi-agent system. DCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 2(4) (2013). ISSN 2255-2863

    Google Scholar 

  40. Li, T., Sun, S., Bolić, M., Corchado, J.M.: Algorithm design for parallel implementation of the SMC-PHD filter. Sig. Process. 119, 115–127 (2016)

    Article  Google Scholar 

  41. Li, T., Sun, S., Corchado, J.M., Siyau, M.F.: A particle dyeing approach for track continuity for the SMC-PHD filter. In: 17th International Conference on Information Fusion (FUSION), pp. 1–8. IEEE, July 2014

    Google Scholar 

  42. Lima, A.C.E., de Castro, L.N., Corchado, J.M.: A polarity analysis framework for Twitter messages. Appl. Math. Comput. 270, 756–767 (2015)

    MATH  Google Scholar 

  43. Zotano, M.G., Gómez-Sanz, J., Pavón, J.: User behavior in mass media websites. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 4(3) (2015). ISSN 2255-2863

    Google Scholar 

  44. Brondino, M., Dodero, G., Gennari, R., Melonio, A., Raccanello, D., Torello, S.: Achievement emotions and peer acceptance get together in game design at school. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 3(4) (2014). ISSN 2255-2863

    Google Scholar 

  45. Martín del Rey, A., Casado Vara, R., Hernández Serrano, D.: Reversibility of symmetric linear cellular automata with radius r = 3. Mathematics 7(9), 816 (2019)

    Article  Google Scholar 

  46. Mata, A., Corchado, J.M.: Forecasting the probability of finding oil slicks using a CBR system. Expert Syst. Appl. 36(4), 8239–8246 (2009)

    Article  Google Scholar 

  47. Mendez, J.R., Fdez-Riverola, F., Diaz, F., Iglesias, E.L., Corchado, J.M.: A comparative performance study of feature selection methods for the anti-spam filtering domain. In: Industrial Conference on Data Mining, pp. 106–120. Springer, Heidelberg, July 2006

    Google Scholar 

  48. Frikha, M., Mhiri, M., Gargouri, F.: A semantic social recommender system using ontologies based approach for Tunisian tourism. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 4(1) (2015). ISSN 2255-2863

    Google Scholar 

  49. Morente-Molinera, J.A., Kou, G., González-Crespo, R., Corchado, J.M., Herrera-Viedma, E.: Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods. Knowl.-Based Syst. 137, 54–64 (2017)

    Article  Google Scholar 

  50. Trindade, N., Antunes, L.: An architecture for agent’s risk perception. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 2(2) (2013). ISSN 2255-2863

    Google Scholar 

  51. Chamoso, P., Pérez-Ramos, H., García-García, Á.: ALTAIR: supervised methodology to obtain retinal vessels caliber. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 3(4) (2014). ISSN 2255-2863

    Google Scholar 

  52. Salazar, R., Rangel, J.C., Pinzón, C., Rodríguez, A.: Irrigation system through intelligent agents implemented with arduino technology. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 2(3) (2013). ISSN 2255-2863

    Google Scholar 

  53. Rossi, S., Barile, F., Caso, A.: Dominance weighted social choice functions for group recommendations. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 4(1) (2015). ISSN 2255-2863

    Google Scholar 

  54. Tapia, D.I., Corchado, J.M.: An ambient intelligence based multi-agent system for alzheimer health care. Int. J. Ambient Comput. Intell. (IJACI) 1(1), 15–26 (2009)

    Article  Google Scholar 

  55. Tapia, D.I., Fraile, J.A., Rodríguez, S., Alonso, R.S., Corchado, J.M.: Integrating hardware agents into an enhanced multi-agent architecture for ambient intelligence systems. Inf. Sci. 222, 47–65 (2013)

    Article  Google Scholar 

  56. Pinto, T., Marques, L., Sousa, T.M., Praça, I., Vale, Z., Abreu, S.L.: Data-mining-based filtering to support solar forecasting methodologies. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(3). ISSN 2255-2863

    Google Scholar 

  57. Guivarch, V., Camps, V., Péninou, A.: AMADEUS: an adaptive multi-agent system to learn a user’s recurring actions in ambient systems. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 1(3) (2012). ISSN 2255-2863

    Google Scholar 

  58. Cofini, V., De La Prieta, F., Di Mascio, T., Gennari, R., Vittorini, P.: Design smart games with requirements, generate them with a click, and revise them with a GUIs. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 1(3) (2012). ISSN 2255-2863

    Google Scholar 

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Acknowledgments

This research is supported by the Ministry of Education of the Junta de Castilla y León and the European Social Fund through a grant from predoctoral recruitment of research personnel associated with the University of Salamanca research project “ROBIN: Robo-advisor intelligent”.

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Correspondence to Elena Hernández Nieves .

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Nieves, E.H. (2021). Virtual Agent Societies to Provide Solutions to an Investment Problem. In: Rodríguez González, S., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference. DCAI 2020. Advances in Intelligent Systems and Computing, vol 1242. Springer, Cham. https://doi.org/10.1007/978-3-030-53829-3_28

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