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An Agent-Oriented Group Decision Architecture

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Agents and Multi-agent Systems: Technologies and Applications 2019

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 148))

Abstract

Group decisions are useful and crucial across socio-technical contexts, but there is a lack of generic, systematic, and comprehensive architecture that can support decision-making practically. In this paper, we propose an agent-oriented group decision architecture. It provides separate but unified representation formalisms for both global interaction protocols and local decision rules. An accompanied runtime coordination mechanism is offered, as well as an engine for agent interpretation of global and local levels of interactions towards decision-making. The architecture is general enough for group decision-making across disciplines.

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References

  1. Smith, S., Agrawal, N., Tsay, A.: A decision support system for retail supply chain planning for private-label merchandise with multiple vendors. In: Geunes, J., Pardalos, P., Romeijn, H. (eds.) Supply Chain Management Model, Applications, and Research Directions, pp. 163–198. Kluwer, Dordrecht (2003)

    Google Scholar 

  2. Lee, H.L., Whang, S.: Demand chain excellence: a tale of two retailers. Supply Chain Manag. Rev. 5(3), 40–46 (2001)

    Google Scholar 

  3. Fox, J., Cooper, R.P., Glasspool, D.W.: A canonical theory of dynamic decision-making. Front. Psychol. 4, 150 (2013)

    Google Scholar 

  4. Xiao, L., Fox, J.: Towards an agent-oriented framework for multidisciplinary decision support and its application to triple assessment of breast cancer. In: Proceedings of the 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC 2017), vol. 1, pp. 97–102. IEEE Press (2017)

    Google Scholar 

  5. Wooldridge, M.: An Introduction to Multiagent Systems. Wiley, New York (2008)

    Google Scholar 

  6. Rao, A.S., Georgeff, M.P.: BDI agents: from theory to practice. In: Proceedings of the 1st International Conference on Multi-Agent Systems, pp. 312–319 (1995)

    Google Scholar 

  7. Wooldridge, M., Jennings, N.R., Kinny, D.: The Gaia methodology for agent-oriented analysis and design. Auton. Agents Multi-Agent Syst. 3, 285–312 (2000)

    Article  Google Scholar 

  8. Bresciani, P., Perini, A., Giorgini, P., Giunchiglia, F., Mylopoulos, J.: Tropos: an agent-oriented software development methodology. Auton. Agent Multi Agent Syst. 8, 203–236 (2004)

    Article  Google Scholar 

  9. Yu, E.: Modelling strategic relationships for process reengineering. In: Social Modeling for Requirements Engineering, vol. 11 (2011)

    Google Scholar 

  10. Dardenne, A., Lamsweerde, A., Fickas, S.: Goal-directed requirements acquisition. Sci. Comput. Program. 20, 3–50 (1993)

    Article  Google Scholar 

  11. DeSanctis, G., Gallupe, R.B.: Group decision support systems: a new frontier. ACM SIGMIS Database 16(2), 3–10 (1984)

    Article  Google Scholar 

  12. DeSanctis, G., Gallupe, R.B.: A foundation for the study of group decision support systems. Manag. Sci. 33, 589–609 (1987)

    Article  Google Scholar 

  13. Alonso, S., Herrera-Viedma, E., Chiclana, F., Herrera, F.: A web based consensus support system for group decision making problems and incomplete preferences. Inf. Sci. 180, 4477–4495 (2010). Elsevier

    Article  MathSciNet  Google Scholar 

  14. Marreiros, G., Santos, R., Ramos, C., Neves, J.: Context-aware emotion-based model for group decision making. IEEE Intell. Syst. 25, 31–39 (2010)

    Article  Google Scholar 

  15. Carneiro, J., Saraiva, P., Martinho, D., Marreiros, G., Novais, P.: Representing decision-makers using styles of behavior: an approach designed for group decision support systems. Cogn. Syst. Res. 47, 109–132 (2018). Elsevier

    Article  Google Scholar 

  16. Kim, Y., Matson, E.T.: A realistic decision making for task allocation in heterogeneous multi-agent systems. Proc. Comput. Sci. 94, 386–391 (2016)

    Article  Google Scholar 

  17. Marcon, E., Chaabane, S., Sallez, Y., Bonte, T., Trentesaux, D.: A multi-agent system based on reactive decision rules for solving the caregiver routing problem in home health care. Simul. Model. Pract. Theory 74, 134–151 (2017). Elsevier

    Article  Google Scholar 

  18. Vahidov, R., Fazlollahi, B.: Pluralistic multi-agent decision support system: a framework and an empirical test. Inf. Manag. 41(7), 883–898 (2004). Elsevier

    Article  Google Scholar 

  19. Xiao, L., Cousins, G., Courtney, B., Hederman, L., Fahey, T., Dimitrov, B.D.: Developing an Electronic Health Record (EHR) for methadone treatment recording and decision support. BMC Med. Inform. Decis. Mak. 11, 5 (2011)

    Article  Google Scholar 

  20. Xiao, L., Cousins, G., Fahey, T., Dimitrov, B., Hederman, L.: Developing a rule-driven clinical decision support system with an extensive and adaptive architecture. In: Proceedings of the 14th International Conference on E-health Networking, Application & Services (HealthCom’2012), pp. 250–254 (2012)

    Google Scholar 

  21. Robertson, D.: A lightweight method for coordination of agent oriented web services. In: Proceedings of AAAI Spring Symposium on Semantic Web Services, Stanford (2004)

    Google Scholar 

  22. Robertson, D.: A lightweight coordination calculus for agent systems. LNCS, vol. 3476, pp. 183–197. Springer, Berlin (2005)

    Chapter  Google Scholar 

  23. Xiao, L., Robertson, D., Croitoru, M., Lewis, P., Dashmapatra, S., Dupplaw, D., Hu, B.: Adaptive agent model: an agent interaction and computation model. In: Proceedings of the 31st IEEE Annual International Computer Software and Applications Conference (COMPSAC’07), vol. II, pp. 153–158. IEEE Computer Society (2007)

    Google Scholar 

  24. Xiao, L., Lewis, P., Gibb, A.: Developing a security protocol for a distributed decision support system in a healthcare environment. In: Proceedings of the 30th International Conference on Software Engineering (ICSE’08), pp. 673–682. ACM, New York (2008)

    Google Scholar 

  25. Xiao, L.: An agent-oriented data sharing and decision support service for hubei provincial care platform. In: Proceedings of the 9th Multi-Disciplinary International Workshop on Artificial Intelligence (MIWAI 2015). LNAI, vol. 9426, pp. 429–440. Springer, Cham (2015)

    Google Scholar 

  26. Murray-Rust, D., Robertson, D.: LSCitter: building social machines by augmenting existing social networks with interaction models. In: Proceedings of the 23rd International Conference on World Wide Web, pp. 875–880. ACM, New York (2014)

    Google Scholar 

  27. Meira, S., et al.: The emerging web of social machines. In: Proceedings of the 35th Annual Computer Software and Applications Conference, pp. 26–27. IEEE (2011)

    Google Scholar 

  28. Robertson, D., Giunchiglia, F.: Programming the social computer. Philos. Trans. Eng. Sci. A Math. Phys. 371(1987), 20120379 (2013)

    Article  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Hubei University of Technology, Wuhan, Hubei, China

    Liang Xiao

Authors
  1. Liang Xiao
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Corresponding author

Correspondence to Liang Xiao .

Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Gordan Jezic

  2. School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, UK

    Yun-Heh Jessica Chen-Burger

  3. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Mario Kusek

  4. Department of Business Economics & Management, Silesian University, Karviná, Czech Republic

    Roman Šperka

  5. Bournemouth University and KES International Research, Poole, Dorset, UK

    Robert J. Howlett

  6. University of Canberra, Canberra, ACT, Australia

    Lakhmi C. Jain

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Xiao, L. (2020). An Agent-Oriented Group Decision Architecture. In: Jezic, G., Chen-Burger, YH., Kusek, M., Šperka, R., Howlett, R., Jain, L. (eds) Agents and Multi-agent Systems: Technologies and Applications 2019. Smart Innovation, Systems and Technologies, vol 148. Springer, Singapore. https://doi.org/10.1007/978-981-13-8679-4_2

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