Skip to main content

Defining Agents’ Behaviour for Negotiation Contexts

  • Conference paper
  • First Online:
Progress in Artificial Intelligence (EPIA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9273))

Included in the following conference series:

Abstract

Agents who represent participants in the group decision-making context require a certain number of individual traits in order to be successful. By using argumentation models, agents are capable to defend the interests of those who they represent, and also justify and support their ideas and actions. However, regardless of how much knowledge they might hold, it is essential to define their behaviour. In this paper (1) is presented a study about the most important models to infer different types of behaviours that can be adapted and used in this context, (2) are proposed rules that must be followed to affect positively the system when defining behaviours and (3) is proposed the adaptation of a conflict management model to the context of Group Decision Support Systems. We propose one approach that (a) intends to reflect a natural way of human behaviour in the agents, (b) provides an easier way to reach an agreement between all parties involved and (c) does not have high configuration costs to the participants. Our approach will offer a simple yet perceptible configuration tool that can be used by the participants and contribute to more intelligent communications between agents and makes possible for the participants to have a better understanding of the types of interactions experienced by the agents belonging to the system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Rahwan, I., Ramchurn, S.D., Jennings, N.R., Mcburney, P., Parsons, S., Sonenberg, L.: Argumentation-based negotiation. The Knowledge Engineering Review 18, 343–375 (2003)

    Article  Google Scholar 

  2. Hadidi, N., Dimopoulos, Y., Moraitis, P.: Argumentative alternating offers. In: McBurney, P., Rahwan, I., Parsons, S. (eds.) ArgMAS 2010. LNCS, vol. 6614, pp. 105–122. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  3. El-Sisi, A.B., Mousa, H.M.: Argumentation based negotiation in multiagent system. In: 2012 Seventh International Conference on, Computer Engineering & Systems (ICCES), pp. 261–266. IEEE (1012)

    Google Scholar 

  4. Marey, O., Bentahar, J., Asl, E.K., Mbarki, M., Dssouli, R.: Agents’ Uncertainty in Argumentation-based Negotiation: Classification and Implementation. Procedia Computer Science 32, 61–68 (2014)

    Article  Google Scholar 

  5. Mbarki, M., Bentahar, J., Moulin, B.: Specification and complexity of strategic-based reasoning using argumentation. In: Maudet, N., Parsons, S., Rahwan, I. (eds.) ArgMAS 2006. LNCS (LNAI), vol. 4766, pp. 142–160. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  6. Amgoud, L., Vesic, S.: A formal analysis of the outcomes of argumentation-based negotiations. In: The 10th International Conference on Autonomous Agents and Multiagent Systems, vol. 3, pp. 1237–1238. International Foundation for Autonomous Agents and Multiagent Systems (2011)

    Google Scholar 

  7. Bonzon, E., Dimopoulos, Y., Moraitis, P.: Knowing each other in argumentation-based negotiation. In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems, vol. 3, pp. 1413–1414. International Foundation for Autonomous Agents and Multiagent Systems (2012)

    Google Scholar 

  8. Kraus, S., Sycara, K., Evenchik, A.: Reaching agreements through argumentation: a logical model and implementation. Artificial Intelligence 104, 1–69 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  9. Faratin, P., Sierra, C., Jennings, N.R.: Negotiation decision functions for autonomous agents. Robotics and Autonomous Systems 24, 159–182 (1998)

    Article  Google Scholar 

  10. Rahwan, I., Kowalczyk, R., Pham, H.H.: Intelligent agents for automated one-to-many e-commerce negotiation. In: Australian Computer Science Communications, pp. 197–204. Australian Computer Society Inc. (2002)

    Google Scholar 

  11. Santos, R., Marreiros, G., Ramos, C., Neves, J., Bulas-Cruz, J.: Personality, emotion, and mood in agent-based group decision making (2011)

    Google Scholar 

  12. Kakas, A., Moraitis, P.: Argumentation based decision making for autonomous agents. In: Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 883–890. ACM (2003)

    Google Scholar 

  13. Zamfirescu, C.-B.: An agent-oriented approach for supporting Self-facilitation for group decisions. Studies in Informatics and control 12, 137–148 (2003)

    Google Scholar 

  14. Jung, C.G.: Psychological types. The collected works of CG Jung 6(18), 169–170 (1971). Princeton University Press

    Google Scholar 

  15. Myers-Briggs, I.: The Myers-Briggs type indicator manual. Educational Testing Service, Prinecton (1962)

    Book  Google Scholar 

  16. Myers, I.B., Myers, P.B.: Gifts differing: Understanding personality type. Davies-Black Pub. (1980)

    Google Scholar 

  17. Bates, M., Keirsey, D.: Please Understand Me: Character and Temperament Types. Prometheus Nemesis Book Co., Del Mar (1984)

    Google Scholar 

  18. Holland, J.L.: Making vocational choices: A theory of vocational personalities and work environments. Psychological Assessment Resources (1997)

    Google Scholar 

  19. Kilmann, R.H., Thomas, K.W.: Interpersonal conflict-handling behavior as reflections of Jungian personality dimensions. Psychological reports 37, 971–980 (1975)

    Article  Google Scholar 

  20. Blake, R.R., Mouton, J.S.: The new managerial grid: strategic new insights into a proven system for increasing organization productivity and individual effectiveness, plus a revealing examination of how your managerial style can affect your mental and physical health. Gulf Pub. Co. (1964)

    Google Scholar 

  21. Walton, R.E., McKersie, R.B.: A behavioral theory of labor negotiations: An analysis of a social interaction system. Cornell University Press (1991)

    Google Scholar 

  22. Costa, P.T., MacCrae, R.R.: Revised NEO Personality Inventory (NEO PI-R) and NEO Five-Factor Inventory (NEO FFI): Professional Manual. Psychological Assessment Resources (1992)

    Google Scholar 

  23. Howard, P.J., Howard, J.M.: The big five quickstart: An introduction to the five-factor model of personality for human resource professionals. ERIC Clearinghouse (1995)

    Google Scholar 

  24. Rahim, M.A., Magner, N.R.: Confirmatory factor analysis of the styles of handling interpersonal conflict: First-order factor model and its invariance across groups. Journal of Applied Psychology 80, 122 (1995)

    Article  Google Scholar 

  25. Allbeck, J., Badler, N.: Toward representing agent behaviors modified by personality and emotion. Embodied Conversational Agents at AAMAS 2, 15–19 (2002)

    Google Scholar 

  26. Badler, N., Allbeck, J., Zhao, L., Byun, M.: Representing and parameterizing agent behaviors. In: Proceedings of Computer Animation, 2002, pp. 133–143. IEEE (2002)

    Google Scholar 

  27. Velásquez, J.D.: Modeling emotions and other motivations in synthetic agents. In: AAAI/IAAI, pp. 10–15. Citeseer (1997)

    Google Scholar 

  28. Durupinar, F., Allbeck, J., Pelechano, N., Badler, N.: Creating crowd variation with the ocean personality model. In: Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems, vol. 3, pp. 1217–1220. International Foundation for Autonomous Agents and Multiagent Systems (2008)

    Google Scholar 

  29. Pasquali, L.: Os tipos humanos: A teoria da personalidade. Differences 7, 359–378 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to João Carneiro .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Carneiro, J., Martinho, D., Marreiros, G., Novais, P. (2015). Defining Agents’ Behaviour for Negotiation Contexts. In: Pereira, F., Machado, P., Costa, E., Cardoso, A. (eds) Progress in Artificial Intelligence. EPIA 2015. Lecture Notes in Computer Science(), vol 9273. Springer, Cham. https://doi.org/10.1007/978-3-319-23485-4_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-23485-4_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23484-7

  • Online ISBN: 978-3-319-23485-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics