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Interest-Based Negotiation for Policy-Regulated Asset Sharing

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 9628)

Abstract

Resources sharing is an important but complex problem to be solved. The problem is exacerbated in a coalition context due to policy constraints, that reflect concerns regarding security, privacy and performance to name a few, placed on the resources. Thus, to effectively share resources, members of a coalition need to negotiate on policies and at times refine them to meet the needs of the operating environment. Towards achieving this goal, in this work we propose and evaluate a novel policy negotiation mechanism based on the interest-based negotiation paradigm. Interest-based negotiation, promotes collaboration when compared with the traditional, position-based negotiation approaches.

Keywords

  • Policy Language
  • Negotiation Process
  • Policy Rule
  • Policy Negotiation
  • Asset Owner

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Notes

  1. 1.

    Note that the term policy refinement herein refers to a different process than the policy refinement in [25], which describes the process of interpreting more general, business layer policies to more specific, system layer ones.

References

  1. Jennings, N., et al.: Automated negotiation: Prospects, methods and challenges. Group Decis. Negot. 10(2), 199–215 (2001)

    CrossRef  Google Scholar 

  2. Walton, D., Krabbe, E.: Commitment in Dialogue: Basic Concepts of Interpersonal Reasoning. SUNY Press, Albany, New York (1995)

    Google Scholar 

  3. Fisher, R., et al.: Getting to Yes Negotiating an Agreement Without Giving In, 2nd edn. Random House Business Books, London (1999). Reprint

    Google Scholar 

  4. Pasquier, P., et al.: An empirical study of interest-based negotiation. Auton. Agent. Multi-Agent Syst. 22(2), 249–288 (2011)

    CrossRef  Google Scholar 

  5. Delaney, M., Foroughi, A., Perkins, W.: An empirical study of the efficacy of a computerized negotiation support system (NSS). Decis. Support Syst. 20(3), 185–197 (1997)

    CrossRef  Google Scholar 

  6. Wooldridge, M., Jennings, N.R.: Intelligent agents: theory and practice. Knowl. Eng. Rev. 10, 115–152 (1995)

    CrossRef  Google Scholar 

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

    CrossRef  Google Scholar 

  8. Martin, O., Ariel, R.: A Course in Game Theory. The MIT Press, Cambridge (1994)

    MATH  Google Scholar 

  9. Kraus, S.: Strategic Negotiation in Multiagent Environments. MIT Press, Cambridge (2001)

    MATH  Google Scholar 

  10. Rahwan, I., et al.: Argumentation-based negotiation. Knowl. Eng. Rev. 18(4), 343–375 (2003)

    CrossRef  Google Scholar 

  11. Seamons, K., et al.: Requirements for policy languages for trust negotiation. In: 3rd International Workshop on Policies for Distributed Systems and Networks, POLICY 2002, pp. 68–79 (2002)

    Google Scholar 

  12. Jang, I., Shi, W., Yoo, H.: Policy negotiation system architecture for privacy protection. In: Proceedings - 4th International Conference on Networked Computing and Advanced Information Management, NCM 2008, vol. 2, pp. 592–597 (2008)

    Google Scholar 

  13. Comuzzi, M., Francalanci, C.: Agent-based negotiation in cooperative processes: Automatic support to underwriting insurance policies. In: ACM International Conference Proceeding Series, vol. 60, pp. 121–129 (2004)

    Google Scholar 

  14. Tang, J.-F., Xu, X.-L.: An adaptive model of service composition based on policy driven and multi-agent negotiation. In: Proceedings of the 2006 International Conference on Machine Learning and Cybernetics, vol. 2006, pp. 113–118 (2006)

    Google Scholar 

  15. Cheng, V., Hung, P., Chiu, D.: Enabling web services policy negotiation with privacy preserved using XACML. In: Proceedings of the Annual Hawaii International Conference on System Sciences (2007)

    Google Scholar 

  16. Sandholm, T.: Distributed rational decision making. In: Weiss, G. (ed.) Multiagent Systems, pp. 201–258. MIT Press (1999)

    Google Scholar 

  17. Loebecke, C., Van Fenema, P.C., Powell, P.: Co-opetition and knowledge transfer. SIGMIS Database 30(2), 14–25 (1999)

    CrossRef  Google Scholar 

  18. Brandenburger, A., Nalebuff, A.: Co-Opetition. Doubleday, New York (1997)

    Google Scholar 

  19. Parizas, C., Pizzocaro, D., Preece, A., Zerfos, P.: Managing ISR sharing policies at the network edge using controlled english. In: Proceedings of Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IV (2013)

    Google Scholar 

  20. Mott, D.: Summary of controlled english. ITACS (2010)

    Google Scholar 

  21. Yavatkar, R., Pendarakis, K., Guerin, R.: A framework for policy-based admission control (2000). http://www.ietf.org/rfc/rfc2753.txt. Accessed 29 Sep 2015

  22. Preece, A., Braines, D., Pizzocaro, D., Parizas, C.: Human-machine conversations to support mission-oriented information provision. In: Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM, pp. 43–49 (2013)

    Google Scholar 

  23. Moran, T.P., Carroll, J.M.: Design Rationale: Concepts, Techniques, and Use. Erlbaum Associates Inc., Hillsdale (1996)

    Google Scholar 

  24. Dave, M., et al.: Hybrid rationale and controlled natural language for shared understanding. In: The 6th Annual Conference of Knowledge Systems for Coalition Operations (2010)

    Google Scholar 

  25. Bandara, A., Lupu, E., Moffett, J., Russo, A.: A goal-based approach to policy refinement. In: Proceedings - Fifth IEEE International Workshop on Policies for Distributed Systems and Networks, POLICY 2004, pp. 229–239 (2004)

    Google Scholar 

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Acknowledgment

This research was sponsored by the US Army Research Laboratory and the UK Ministry of Defense and was accomplished under Agreement Number W911NF-06-3-0001. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the US Army Research Laboratory, the US Government, the UK Ministry of Defense or the UK Government. The US and UK Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon.

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Correspondence to Christos Parizas .

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Parizas, C., De Mel, G., Preece, A.D., Sensoy, M., Calo, S.B., Pham, T. (2016). Interest-Based Negotiation for Policy-Regulated Asset Sharing. In: Dignum, V., Noriega, P., Sensoy, M., Sichman, J. (eds) Coordination, Organizations, Institutions, and Norms in Agent Systems XI. COIN 2015. Lecture Notes in Computer Science(), vol 9628. Springer, Cham. https://doi.org/10.1007/978-3-319-42691-4_17

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  • DOI: https://doi.org/10.1007/978-3-319-42691-4_17

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