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Using Multiagent Negotiation to Model Water Resources Systems Operations

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Autonomous Agents and Multiagent Systems (AAMAS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10002))

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Abstract

The operations of water resources infrastructures, such as dams and diversions, often involve multiple conflicting interests and stakeholders. Among the approaches that have been proposed to design optimal operating policies for these systems, those based on agents have recently attracted an increasing attention. The different stakeholders are represented as different agents and their interactions are usually modeled as distributed constraint optimization problems. Those few works that have attempted to model the interactions between stakeholders as negotiations present some significant limitations, like the necessity for each agent to know the preferences of all other agents. To overcome this drawback, in this paper we contribute a general monotonic concession protocol that allows the stakeholders-agents of a regulated lake to periodically reach agreements on the amount of water to release daily, trying to control lake floods and to supply water to agricultural districts downstream. In particular, we study two specific instances of the general protocol according to their ability to converge, reach Pareto optimal agreements, limit complexity, and show good experimental performance.

A summary of this work appears, as extended abstract, in the Proceedings of the Autonomous Agents and Multiagent Systems Conference (AAMAS) 2016.

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Notes

  1. 1.

    Note that the negotiation protocols are presented referring to utility functions \(\mathcal {U}_{i}\) for uniformity with relevant literature, but in our application we consider cost functions \(\mathcal {J}^{i}_{B_{j}}\). The two representations are related by: \(\mathcal {U}_{i} = 1/\mathcal {J}^{i}_{B_{j}}\).

  2. 2.

    An agreement \(x \in \mathfrak {R}^m\) is Pareto optimal if it is not dominated by any other \(x' \in \mathfrak {R}^m\); where \(x'\) dominates x when, for all i, \(\mathcal {U}_{i}(x') \ge \mathcal {U}_{i}(x)\) and, for at least a \(\bar{i}\), \(\mathcal {U}_{\bar{i}}(x') > \mathcal {U}_{\bar{i}}(x)\).

  3. 3.

    All the utilities functions reported in this section are not related to our application, but have been built manually for illustration purposes.

References

  1. Adams, G., Rausser, G., Simon, L.: Modelling multilateral negotiations: an application to California water policy. J. Econ. Behav. Organ. 30(1), 97–111 (1996)

    Article  Google Scholar 

  2. Altinbilek, D.: Development and management of the Euphrates-Tigris basin. Int. J. Water Resour. Dev. 20(1), 15–33 (2004)

    Article  Google Scholar 

  3. Amigoni, F., Castelletti, A., Giuliani, M.: Modeling the management of water resources systems using multi-objective DCOPs. In: Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 821–829 (2015)

    Google Scholar 

  4. Amigoni, F., Gatti, N.: A formal framework for connective stability of highly decentralized cooperative negotiations. Auton. Agent. Multi-Agent Syst. 15(3), 253–279 (2007)

    Article  Google Scholar 

  5. Anghileri, D., Castelletti, A., Pianosi, F., Soncini-Sessa, R., Weber, E.: Optimizing watershed management by coordinated operation of storing facilities. J. Water Resour. Plann. Manage. 139(5), 492–500 (2013)

    Article  Google Scholar 

  6. Badica, C., Badica, A.: A set-based approach to negotiation with concessions. In: Proceedings of the Balkan Conference in Informatics (BCI), pp. 239–242 (2012)

    Google Scholar 

  7. Berglund, E.: Using agent-based modeling for water resources planning and management. J. Water Resour. Plann. Manage. 141(11), 04015025 (2015)

    Article  Google Scholar 

  8. Block, P., Strzepek, K.: Economic analysis of large-scale upstream river basin development on the Blue Nile in Ethiopia considering transient conditions, climate variability, and climate change. J. Water Resour. Plann. Manage. 136(2), 156–166 (2010)

    Article  Google Scholar 

  9. Castelletti, A., Galelli, S., Restelli, M., Soncini-Sessa, R.: Tree-based reinforcement learning for optimal water reservoir operation. Water Resour. Res. 46(9), W09507 (2010)

    Article  Google Scholar 

  10. Draper, A., Lund, J.: Optimal hedging and carryover storage value. J. Water Resour. Plann. Manage. 130(1), 83–87 (2004)

    Article  Google Scholar 

  11. Elkind, E., Rahwan, T., Jennings, N.: Computational coalition formation. In: Weiss, G. (ed.) Multiagent Systems, pp. 329–380. MIT Press, Cambridge (2013)

    Google Scholar 

  12. Endriss, U.: Monotonic concession protocols for multilateral negotiation. In: Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 392–399 (2006)

    Google Scholar 

  13. Fatima, S., Rahwan, I.: Negotiation and bargaining. In: Weiss, G. (ed.) Multiagent Systems, pp. 143–176. MIT Press, Cambridge (2013)

    Google Scholar 

  14. Gatti, N., Amigoni, F.: An approximate Pareto optimal cooperative negotiation model for multiple continuous dependent issues. In: Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pp. 565–571 (2005)

    Google Scholar 

  15. Giuliani, M., Castelletti, A.: Assessing the value of cooperation and information exchange in large water resources systems by agent-based optimization. Water Resour. Res. 49(7), 3912–3926 (2013)

    Article  Google Scholar 

  16. Giuliani, M., Castelletti, A., Amigoni, F., Cai, X.: Multiagent systems and distributed constraint reasoning for regulatory mechanism design in water management. J. Water Resour. Plann. Manage. 141(4), 04014068 (2015)

    Article  Google Scholar 

  17. Hashimoto, T., Stedinger, J., Loucks, D.: Reliability, resiliency, and vulnerability criteria for water resource system performance evaluation. Water Resour. Res. 18(1), 14–20 (1982)

    Article  Google Scholar 

  18. Lybbert, T., Barrett, C.: Risk responses to dynamic asset thresholds. Appl. Econ. Perspect. Policy 29(3), 412–418 (2007)

    Google Scholar 

  19. Marques, G., Tilmant, A.: The economic value of coordination in large-scale multireservoir systems: the Parana River case. Water Resour. Res. 49(11), 7546–7557 (2013)

    Article  Google Scholar 

  20. Pianosi, F., Castelletti, A., Restelli, M.: Tree-based fitted Q-iteration for multi-objective Markov decision processes in water resource management. J. Hydroinformatics 15(2), 258–270 (2013)

    Article  Google Scholar 

  21. Rausser, G., Simon, L.: A noncooperative model of collective decision making: a multilateral bargaining approach. Technical report, UC Berkeley, Department of Agricultural and Resource Economics (1992). http://escholarship.org/uc/item/1p.67k0dp

  22. Rosenschein, J., Zlotkin, G.: Rules of Encounter: Designing Conventions for Automated Negotiation among Computers. MIT Press, Cambridge (1994)

    Google Scholar 

  23. Soncini Sessa, R., Castelletti, A., Weber, E.: Integrated and Participatory Water Resources Management: Theory. Elsevier, Amsterdam (2007)

    Google Scholar 

  24. Thoyer, S., Morardet, S., Rio, P., Simon, L., Goodhue, R., Rausser, G.: A bargaining model to simulate negotiations between water users. J. Artif. Soc. Soc. Simul. 4(2) (2001)

    Google Scholar 

  25. Tilmant, A., Beevers, L., Muyunda, B.: Restoring a flow regime through the coordinated operation of a multireservoir system: the case of the Zambezi River basin. Water Resour. Res. 46(7), 1–11 (2010)

    Article  Google Scholar 

  26. Wallace, J., Acreman, M., Sullivan, C.: The sharing of water between society and ecosystems: from conflict to catchment-based co-management. Philos. Trans. R. Soc. Lond. Ser. B Biol. Sci. 358(1440), 2011–2026 (2003)

    Article  Google Scholar 

  27. Yang, Y., Cai, X., Stipanovic̀, D.: A decentralized optimization algorithm for multiagent system-based watershed management. Water Resour. Res. 45(8), 1–18 (2009)

    Article  Google Scholar 

  28. Zeitoun, M., Warner, J.: Hydro-hegemony - a framework for analysis of trans-boundary water conflicts. Water Policy 8(5), 435–460 (2006)

    Article  Google Scholar 

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Correspondence to Francesco Amigoni .

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Amigoni, F., Castelletti, A., Gazzotti, P., Giuliani, M., Mason, E. (2016). Using Multiagent Negotiation to Model Water Resources Systems Operations. In: Osman, N., Sierra, C. (eds) Autonomous Agents and Multiagent Systems. AAMAS 2016. Lecture Notes in Computer Science(), vol 10002. Springer, Cham. https://doi.org/10.1007/978-3-319-46882-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-46882-2_4

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