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NegMAS: A Platform for Automated Negotiations

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PRIMA 2020: Principles and Practice of Multi-Agent Systems (PRIMA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12568))

Abstract

Alongside the widespread adoption of AI technology throughout the business world, automated negotiation is similarly gaining more interest within the multiagent system (MAS) research community. This interest has prompted the development of research-oriented automated negotiation platforms like GENIUS. This paper introduces NegMAS, Negotiations Managed by Agent Simulations/Negotiation MultiAgent System, which was developed to facilitate research and development of agents that negotiate in dynamic situations characterized by interrelated utility functions with all negotiation related decisions managed by agents.

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Notes

  1. 1.

    NegMAS is available at https://www.github.com/yasserfarouk/negmas.

References

  1. Contract room platform (2019). https://www.contractroom.com/

  2. Geniusweb platform (2019). https://ii.tudelft.nl/GeniusWeb/technicians.html

  3. Aydoğan, R., Festen, D., Hindriks, K.V., Jonker, C.M.: Alternating offers protocols for multilateral negotiation. In: Fujita, K., et al. (eds.) Modern Approaches to Agent-based Complex Automated Negotiation. SCI, vol. 674, pp. 153–167. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-51563-2_10

    Chapter  Google Scholar 

  4. Baarslag, T., Hindriks, K., Jonker, C.: A tit for tat negotiation strategy for real-time bilateral negotiations. In: Complex Automated Negotiations: Theories, Models, and Software Competitions, pp. 229–233. Springer (2013)

    Google Scholar 

  5. Chatterjee, K., Samuelson, W.: Bargaining under incomplete information. Oper. Res. 31(5), 835–851 (1983)

    Article  Google Scholar 

  6. Faratin, P., Sierra, C., Jennings, N.R.: Negotiation decision functions for autonomous agents. Robot. Auton. Syst. 24(3–4), 159–182 (1998)

    Article  Google Scholar 

  7. Fishburn, P.C.: Interdependence and additivity in multivariate, unidimensional expected utility theory. Int. Econ. Rev. 8(3), 335–342 (1967)

    Article  MathSciNet  Google Scholar 

  8. Inotsume, H., Aggarewal, A., Higa, R., Nakadai, S.: Path negotiation for self-interested multirobot vehicles in shared space. In: Proceedings of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020)

    Google Scholar 

  9. Ito, T., Hattori, H., Klein, M.: Multi-issue negotiation protocol for agents: exploring nonlinear utility spaces. IJCAI 7, 1347–1352 (2007)

    Google Scholar 

  10. Ito, T., Klein, M., Hattori, H.: A multi-issue negotiation protocol among agents with nonlinear utility functions. Multiagent Grid Syst. 4(1), 67–83 (2008)

    Article  Google Scholar 

  11. Jonker, C.M., et al.: An introduction to the pocket negotiator: a general purpose negotiation support system. In: Criado Pacheco, N., Carrascosa, C., Osman, N., Julián Inglada, V. (eds.) EUMAS/AT -2016. LNCS (LNAI), vol. 10207, pp. 13–27. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59294-7_2

    Chapter  Google Scholar 

  12. Kersten, G.E.: Are procurement auctions good for society and for buyers? In: Zaraté, P., Kersten, G.E., Hernández, J.E. (eds.) GDN 2014. LNBIP, vol. 180, pp. 30–40. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07179-4_4

    Chapter  Google Scholar 

  13. Klein, M., Faratin, P., Sayama, H., Bar-Yam, Y.: Protocols for negotiating complex contracts. IEEE Intell. Syst. 18(6), 32–38 (2003)

    Article  Google Scholar 

  14. Lin, R., Kraus, S., Baarslag, T., Tykhonov, D., Hindriks, K., Jonker, C.M.: Genius: an integrated environment for supporting the design of generic automated negotiators. Comput. Intell. 30(1), 48–70 (2014). https://doi.org/10.1111/j.1467-8640.2012.00463.x

  15. Mohammad, Y., Nakadai, S.: Optimal value of information based elicitation during negotiation. In: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. AAMAS 2019, pp. 242–250. International Foundation for Autonomous Agents and Multiagent Systems (2019)

    Google Scholar 

  16. Mohammad, Y., Viqueira, E.A., Ayerza, N.A., Greenwald, A., Nakadai, S., Morinaga, S.: Supply chain management world. In: Baldoni, M., Dastani, M., Liao, B., Sakurai, Y., Zalila Wenkstern, R. (eds.) PRIMA 2019. LNCS (LNAI), vol. 11873, pp. 153–169. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-33792-6_10

    Chapter  Google Scholar 

  17. Nash Jr., J.F.: The bargaining problem. Econometrica J. Econometric Soc. 18, 155–162 (1950)

    Article  MathSciNet  Google Scholar 

  18. Rubinstein, A.: Perfect equilibrium in a bargaining model. Econometrica J. Econometric Soc. 50, 97–109 (1982)

    Article  MathSciNet  Google Scholar 

  19. Wurman, P.R., Wellman, M.P., Walsh, W.E.: A parametrization of the auction design space. Games Econ. Behav. 35(1–2), 304–338 (2001)

    Article  MathSciNet  Google Scholar 

  20. Zeng, D., Sycara, K.: Bayesian learning in negotiation. Int. J. Hum. Comput. Stud. 48(1), 125–141 (1998)

    Article  Google Scholar 

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Acknowledgments

Amy Greenwald is supported in part by NSF Award CMMI-1761546.

Author information

Authors and Affiliations

  1. NEC Corporation, Tokyo, Japan

    Yasser Mohammad & Shinji Nakadai

  2. National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan

    Yasser Mohammad & Shinji Nakadai

  3. Assiut University, Asyut, Egypt

    Yasser Mohammad

  4. Brown University, Providence, USA

    Amy Greenwald

Authors
  1. Yasser Mohammad
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  2. Shinji Nakadai
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  3. Amy Greenwald
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Corresponding author

Correspondence to Yasser Mohammad .

Editor information

Editors and Affiliations

  1. Nagoya Institute of Technology, Nagoya, Japan

    Takahiro Uchiya

  2. University of Tasmania, Tasmania, TAS, Australia

    Quan Bai

  3. University of Alcalá, Alcala de Henares, Spain

    Iván Marsá Maestre

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Mohammad, Y., Nakadai, S., Greenwald, A. (2021). NegMAS: A Platform for Automated Negotiations. In: Uchiya, T., Bai, Q., Marsá Maestre, I. (eds) PRIMA 2020: Principles and Practice of Multi-Agent Systems. PRIMA 2020. Lecture Notes in Computer Science(), vol 12568. Springer, Cham. https://doi.org/10.1007/978-3-030-69322-0_23

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  • DOI: https://doi.org/10.1007/978-3-030-69322-0_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69321-3

  • Online ISBN: 978-3-030-69322-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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