Abstract
Persuasive systems play a crucial role in supporting and counseling people to achieve individual behavior change goals. Intelligent systems have been used for inducing a positive adjustment of attitudes and routines in scenarios such as physiotherapy exercises, medication adherence, smoking cessation, nutrition & diet changes, physical activity, etc. Beyond the specialization and effectiveness provided by these systems on individual scenarios, we provide a vision for collaborative creativity based on the multi-agent systems paradigm. Considering novelty and usefulness as fundamental dimensions of a creative persuasive strategy, we identify the challenges and opportunities of modeling and orchestrating intelligent agents to collaboratively engage in exploratory and transformational creativity interactions. Moreover, we identify the foundations, outline a road-map for this novel research line, and elaborate on the potential impact and real-life applications.
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References
Adler, P.S., Chen, C.X.: Combining creativity and control: understanding individual motivation in large-scale collaborative creativity. Account. Organ. Soc. 36(2), 63ā85 (2011)
Besold, T.R., Schorlemmer, M., Smaill, A. (eds.): Computational Creativity Research: Towards Creative Machines. ATM, vol. 7. Atlantis Press, Paris (2015). https://doi.org/10.2991/978-94-6239-085-0
Black, E., Coles, A.J., Hampson, C.: Planning for persuasion. In: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, pp. 933ā942 (2017)
Calvaresi, D., Schumacher, M., Marinoni, M., Hilfiker, R., Dragoni, A.F., Buttazzo, G.: Agent-based systems for telerehabilitation: strengths, limitations and future challenges. In: Montagna, S., Abreu, P.H., Giroux, S., Schumacher, M.I. (eds.) A2HC/AHEALTH -2017. LNCS (LNAI), vol. 10685, pp. 3ā24. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70887-4_1
Chen, H., Finin, T., Joshi, A.: The SOUPA ontology for pervasive computing. In: Tamma, V., Cranefield, S., Finin, T.W., Willmott, S. (eds.) Ontologies for Agents: Theory and Experiences, pp. 233ā258. Springer, Basel (2005). https://doi.org/10.1007/3-7643-7361-X_10
Cointe, N., Bonnet, G., Boissier, O.: Ethical judgment of agentsā behaviors in multi-agent systems. In: Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, pp. 1106ā1114 (2016)
Colton, S., Charnley, J., Pease, A.: Computational creativity theory: the face and idea descriptive models. In: 2nd International Conference on Computational Creativity, ICCC 2011, pp. 90ā95 (2011)
Colton, S., Wiggins, G.A.: Computational creativity: the final frontier? In: Proceedings of the 20th European Conference on Artificial Intelligence, pp. 21ā26 (2012)
Costa, A., Heras, S., Palanca, J., JordĆ”n, J., Novais, P., JuliĆ”n, V.: Argumentation schemes for events suggestion in an e-health platform. In: de Vries, P.W., Oinas-Kukkonen, H., Siemons, L., Beerlage-de Jong, N., van Gemert-Pijnen, L. (eds.) PERSUASIVE 2017. LNCS, vol. 10171, pp. 17ā30. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-55134-0_2
Csikszentmihalyi, M.: 16 implications of a systems perspective for the study of creativity. In: Handbook of Creativity, p. 313 (1999)
Davis, N., Hsiao, C.-P., Popova, Y., Magerko, B.: An enactive model of creativity for computational collaboration and co-creation. In: Zagalo, N., Branco, P. (eds.) Creativity in the Digital Age. SSCC, pp. 109ā133. Springer, London (2015). https://doi.org/10.1007/978-1-4471-6681-8_7
De Loor, P., Manacāh, K., Tisseau, J.: Enaction-based artificial intelligence: Toward co-evolution with humans in the loop. Minds Mach. 19(3), 319ā343 (2009)
Froese, T., Ziemke, T.: Enactive artificial intelligence: investigating the systemic organization of life and mind. Artif. Intell. 173(3ā4), 466ā500 (2009)
Guckelsberger, C., Salge, C., Colton, S.: Addressing the āwhy?ā in computational creativity: a non-anthropocentric, minimal model of intentional creative agency (2017)
Hendler, J.: Agents and the semantic web. IEEE Intell. Syst. 16(2), 30ā37 (2001)
Heras, S., Atkinson, K., Botti, V., Grasso, F., JuliĆ”n, V., McBurney, P.: How argumentation can enhance dialogues in social networks. In: Computational Models of Argument, pp. 267ā274. IOS Press (2010)
Ivascu, T., Manate, B., Negru, V.: A multi-agent architecture for ontology-based diagnosis of mental disorders. In: 2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), pp. 423ā430. IEEE (2015)
Larsen, K.R., et al.: Behavior change interventions: the potential of ontologies for advancing science and practice. J. Behav. Med. 40(1), 6ā22 (2017)
Loughran, R., OāNeill, M.: Application domains considered in computational creativity. In: ICCC, pp. 197ā204 (2017)
Mamykina, L., Candy, L., Edmonds, E.: Collaborative creativity. Commun. ACM 45(10), 96ā99 (2002)
Menabrea, L.F., Lovelace, A.: Sketch of the analytical engine invented by charles babbage (1842)
Murukannaiah, P.K., Ajmeri, N., Jonker, C.M., Singh, M.P.: New foundations of ethical multiagent systems. In: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, pp. 1706ā1710 (2020)
Paulheim, H.: Knowledge graph refinement: a survey of approaches and evaluation methods. Semant. Web 8(3), 489ā508 (2017)
Paulus, P.B., Brown, V.R.: Toward more creative and innovative group idea generation: a cognitive-social-motivational perspective of brainstorming. Soc. Pers. Psychol. Compass 1(1), 248ā265 (2007)
Paulus, P.B., Dzindolet, M., Kohn, N.W.: Collaborative creativityāgroup creativity and team innovation. In: Handbook of Organizational Creativity, pp. 327ā357. Elsevier (2012)
Railsback, S.F., Lytinen, S.L., Jackson, S.K.: Agent-based simulation platforms: review and development recommendations. Simulation 82(9), 609ā623 (2006)
Roda, C., RodrĆguez, A., LĆ³pez-Jaquero, V., GonzĆ”lez, P., Navarro, E.: A multi-agent system in ambient intelligence for the physical rehabilitation of older people. In: Bajo, J., et al. (eds.) Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability. AISC, vol. 372, pp. 113ā123. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-19629-9_13
Rosenfeld, A., Kraus, S.: Strategical argumentative agent for human persuasion. In: Proceedings of the Twenty-Second European Conference on Artificial Intelligence, pp. 320ā328 (2016)
Rowe, J., Partridge, D.: Creativity: a survey of AI approaches. Artif. Intell. Rev. 7(1), 43ā70 (1993)
Saunders, R., Grace, K.: Towards a computational model of creative cultures. In: AAAI Spring Symposium: Creative Intelligent Systems, pp. 67ā74 (2008)
Sheth, A., Padhee, S., Gyrard, A.: Knowledge graphs and knowledge networks: the story in brief. IEEE Internet Comput. 23(4), 67ā75 (2019)
Siangliulue, P., Arnold, K.C., Gajos, K.Z., Dow, S.P.: Toward collaborative ideation at scale: leveraging ideas from others to generate more creative and diverse ideas. In: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, pp. 937ā945 (2015)
Sonnenburg, S.: Creativity in communication: a theoretical framework for collaborative product creation. Creativity Innov. Manage. 13(4), 254ā262 (2004)
Subagdja, B., Tan, A.H., Kang, Y.: A coordination framework for multi-agent persuasion and adviser systems. Expert Syst. Appl. 116, 31ā51 (2019)
Tucker, C.S., Behoora, I., Nembhard, H.B., Lewis, M., Sterling, N.W., Huang, X.: Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors. Comput. Biol. Med. 66, 120ā134 (2015)
Varela, F.J., Thompson, E., Rosch, E.: The Embodied Mind: Cognitive Science and Human Experience. MIT Press, Cambridge (2016)
Wiggins, G.A.: A preliminary framework for description, analysis and comparison of creative systems. Knowl. Based Syst. 19(7), 449ā458 (2006)
Wooldridge, M.J., Jennings, N.R.: Intelligent agents: theory and practice. Knowl. Eng. Rev. 10(2), 115ā152 (1995)
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This research has been partially supported by the HES-SO RCSO ISNet project PERSA: Computational Persuasion in eHealth Support Applications.
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Calbimonte, JP., Calvaresi, D., Schumacher, M. (2021). Towards Collaborative Creativity inĀ Persuasive Multi-agent Systems. 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_4
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