A Multi-Thread Auto-Negotiation Method for Value Conflict Resolution in Transboundary Service Design
- 1 Faculty of Computing, Harbin Institute of Technology, Harbin, China
- 2 School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China
- 3 Faculty of Computing, Harbin Institute of Technology, Harbin, China
- 4 Faculty of Computing, Harbin Institute of Technology, Harbin, China
- 5 Faculty of Computing, Harbin Institute of Technology, Harbin, China
Abstract
When designing transboundary services, designers need to reasonably optimize the configuration of the service quality and service resources of each service participant to satisfy the value expectations of multiple parties. However, due to the constraints of the service quality offered, and resources owned by participants, the designed configuration may sometimes not meet all the value expectations. At this time, it is need to persuade the relevant parties to lower their value expectations, so as to realize resolution of value conflict. Therefore, for transboundary service design, a reasonable conflict resolution method is one of the key points. This paper proposes a multi-thread automatic negotiation method based on Stackelberg game theory and swarms intelligence algorithm to solve the problem of multi-party value conflicts. A numerical simulation on real-world transboundary service design was carried on to validate The rationality and validity of the proposed model.
- Eshragh, F., Pooyandeh, M., & Marceau, D. J. (2015). Automated Negotiation in Environmental Resource Management: Review and Assessment. Journal of Environmental Management, 162, 148-157. https://doi.org/10.1016/j.jenvman.2015.07.051
- European Commission (2014). Towards the Internet of Services. http://cordis.europa.eu/fp7/ict/ssai/.
- Faratin, P., Sierra, C., & Jennings, N. R. (1998). Negotiation Decision Functions for Autonomous Agents. Robotics and Autonomous Systems, 24, 159-182. https://doi.org/10.1016/S0921-8890(98)00029-3
- Fatima, S., Kraus, S., & Wooldridge, M. (2014). Principles of Automated Negotiation. Cambridge: Cambridge University Press.
- Haleema, P. K., Iyengar, N. Ch. S. N. (2018). A Mathematical Model with Flexible Negotiation Strategies for Agent Based Negotiations in Dynamic e-Commerce Environments. Journal of King Saud University—Computer and Information Sciences, 30, 547-560. https://doi.org/10.1016/j.jksuci.2016.11.004
- Kolomvatsos, K., Panagidi, K., Neokosmidis,I., Varoutas, D., & Hadjieftymiades, S. (2016). Automated Concurrent Negotiations: An Artificial Bee Colony Approach. Electronic Commerce Research and Applications, 19, 56-69. https://doi.org/10.1016/j.elerap.2016.09.002
- Liu, S., & Xu, Z. (2014). Stackelberg Game Models Between Two Competitive Retailers in Fuzzy Decision Environment. Fuzzy Optimization and Decision Making, 13, 33-48. https://doi.org/10.1007/s10700-013-9165-x
- Ray, B. K., Khatua, S., & Roy, S. (2014). Negotiation Based Service Brokering using Game Theory. Applications and Innovations in Mobile Computing (AIMoC).
- Sanchez-Anguix, V., Julián, V., Botti, V., & Garcia-Fornes, A. (2013a). Tasks for Agent-Based Negotiation Teams: Analysis, Review, and Challenges. Engineering Applications of Artificial Intelligence, 26, 2480-2494. https://doi.org/10.1016/j.engappai.2013.07.006
- Sanchez-Anguix, V., Julian, V., Botti, V., & Garcia-Fornes, A. (2013b). Studying the Impact of Negotiation Environments on Negotiation Teams’ Performance. Information Sciences, 219, 17-40. https://doi.org/10.1016/j.ins.2012.07.017
- Tian, R., Li, S., & Yang, G. (2018). Research on a Distributed Auto-Negotiation Model Based on Stackelberg Game Theory. The Journal of Supercomputing, 1-12.
- Wu, Z., Yin, J., Deng, S., Wu, J., Li, Y., & Chen, L.（2016）. Modern Service Industry and Crossover Services: Development and Trends in China. IEEE Transactions on Services Computing, 9, 664-671.