Skip to main content

Agreement Technologies – Towards Sophisticated Software Agents

  • Conference paper
  • 1610 Accesses

Part of the Lecture Notes in Computer Science book series (LNAI,volume 8733)

Abstract

Nowadays, agreements and all the processes and mechanisms implicated in reaching agreements between different kinds of agents are a subject of perspective interdisciplinary scientific research. Newest trend in Agent Technology is to enhance agents with "social" abilities. Agreement Technologies brings new flavor in implementation of more sophisticated autonomous software agents that negotiate to achieve acceptable agreements.

The paper presents key concepts in this area and highlights influence of Agreement Technologies on development of more sophisticated multi-agent systems.

Keywords

  • Multiagent System
  • Call Centre
  • Sentiment Analysis
  • Software Agent
  • Deontic Logic

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.

The work is partially supported by Ministry of Education and Science of the Republic of Serbia, through project no. OI174023: “Intelligent techniques and their integration into wide-spectrum decision support”

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-11289-3_1
  • Chapter length: 10 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   84.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-11289-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   109.99
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alberola, J.M., Such, J.M., Botti, V., Espinosa, A., Garcıa-Fornes, A.: A Scalable Multiagent Platform for Large Systems. Computer Science and Information Systems 10(1), 51–77 (2013)

    CrossRef  Google Scholar 

  2. Argente, E., Boissier, O., Carrascosa, C., Fornara, N., McBurney, P., Noriega, P., Ricci, A., Sabater-Mir, J., Ignaz Schumacher, M., Tampitsikas, C., Taveter, K., Vizzari, G., Vouros, G.A.: Environment and Agreement Technologies. In: AT 2012, pp. 260–261 (2012)

    Google Scholar 

  3. Boella, G., van der Torre, L.W.N.: Constitutive norms in the design of normative multiagent systems. In: Toni, F., Torroni, P. (eds.) CLIMA 2005. LNCS (LNAI), vol. 3900, pp. 303–319. Springer, Heidelberg (2006)

    CrossRef  Google Scholar 

  4. Broersen, J., Dastani, M., van der Torre, L.: Beliefs, obligations, intentions and desires as components in an agent architecture. International Journal of Intelligent Systems 20(9), 893–920 (2005)

    CrossRef  MATH  Google Scholar 

  5. Cardoso, H.L., Urbano, J., Brandão, P., Rocha, A.P., Oliveira, E.C.: ANTE: Agreement Negotiation in Normative and Trust-Enabled Environments. In: PAAMS 2012, pp. 261-264 (2012)

    Google Scholar 

  6. da Silva, V.T., Choren, R., de Lucena, C.J.P.: A UML based approach for modeling and implementing multi-agent systems. In: International Joint Conference on Proceedings of the Autonomous Agents and Multi-Agent Systems, vol. 2, pp. 914–921. IEEE Computer Society, Los Alamitos (2004)

    Google Scholar 

  7. Dignum, V.: A model for organizational interaction: Based on agents, founded in logic. Ph.D. thesis, Universiteit Utrecht (2004)

    Google Scholar 

  8. Dimitrakos, T.: System models, e-risks and e-trust. In: Proceedings of the IFIP Conference on Towards the E-society: E-Commerce, E-Business, E-Government, I3E 2001, pp. 45–58. Kluwer, Deventer (2001)

    Google Scholar 

  9. Ferber, J., Gutknecht, O., Michel, F.: From agents to organizations: An organizational view of multi-agent systems. In: Giorgini, P., Müller, J.P., Odell, J.J. (eds.) AOSE 2003. LNCS, vol. 2935, pp. 214–230. Springer, Heidelberg (2004)

    CrossRef  Google Scholar 

  10. Gâteau, B., Boissier, O., Khadraoui, D., Dubois, E.: Moiseinst: An organizational model for specifying rights and duties of autonomous agents. In: Third European workshop on multi-agent systems (EUMAS 2005), Brussels, pp. 484–485 (2005)

    Google Scholar 

  11. Godbole, N., Srinivasaiah, M., Skiena, S.: Large-scale sentiment analysis for news and blogs. In: Proceedings of the international Conference on weblogs and social media (ICWSM), Salt Lake City (2007)

    Google Scholar 

  12. Gostojić, S., Milosavljević, B., Konjović, Z.: Ontological Model of Legal Norms for Creating and Using Legislation. Computer Science and Information Systems 10(1), 151–171 (2013)

    CrossRef  Google Scholar 

  13. Heras, S.: Case-based argumentation framework for agent societies. Ph.D. thesis, Departamento de Sistemas Informáticos y Computación. Universitat Politècnica de València (2011), http://hdl.handle.net/10251/12497 ,

  14. Horling, B., Lesser, V.: A survey of multi-agent organizational paradigms. The Knowledge Engineering Review 19(4), 281–316 (2005)

    CrossRef  Google Scholar 

  15. Hübner, J.F., Sichman, J., Boissier, O.: A model for the structural, functional, and deontic specification of organizations in multi-agent systems. In: Bittencourt, G., Ramalho, G.L. (eds.) SBIA 2002. LNCS (LNAI), vol. 2507, pp. 118–128. Springer, Heidelberg (2002)

    CrossRef  Google Scholar 

  16. Huynh, T.D., Jennings, N.R., Shadbolt, N.R.: An integrated trust and reputation model for open multi-agent systems. Autonomous Agents and Multi-Agent Systems 13, 119–154 (2006)

    CrossRef  Google Scholar 

  17. Ivanovic, M., Budimac, Z.: An overview of ontologies and data resources in medical domains. Expert Syst. Appl. 41(11), 5158–5166 (2014)

    CrossRef  Google Scholar 

  18. Kirschner, P.A., Buckingham Shum, S.J., Carr, C.S.: Visualizing argumentation: Software tools for collaborative and educational sense-making. Springer, London (2003), http://oro.open.ac.uk/12107/

  19. Lesser, V., Decker, K., Wagner, T., Carver, N., Garvey, A., Horling, B., Neiman, D., Podorozhny, R., NagendraPrasad, M., Raja, A., Vincent, R., Xuan, P., Zhang, X.: Evolution of the gpgp/taems domain-independent coordination framework. In: Autonomous Agents and Multi-Agent Systems, vol. 9(1), pp. 87–143. Kluwer Academic Publishers (2004)

    Google Scholar 

  20. Ossowski, S.: Agreement Technologies. Springer Series: Law, Governance and Technology Series, vol. 8, XXXV, p. 645 (2013)

    Google Scholar 

  21. Ossowski, S., Sierra, C., Botti, V.: Agreement Technologies: A Computing perspective. In: Ossowski, S. (ed.) Springer Series: Law, Governance and Technology Series, vol. 8, pp. 3–16 (2013)

    Google Scholar 

  22. Van Dyke Parunak, H., Odell, J.J.: Representing social structures in UML. In: Wooldridge, M.J., Weiß, G., Ciancarini, P. (eds.) AOSE 2001. LNCS, vol. 2222, pp. 1–16. Springer, Heidelberg (2002)

    CrossRef  Google Scholar 

  23. Polleres, A., Huynh, D.: Special issue: The web of data. Journal of Web Semantics 7(3), 135 (2009)

    CrossRef  Google Scholar 

  24. Rahwan, I., Zablith, F., Reed, C.: Laying the foundations for a world wide argument web. Artificial Intelligence 171, 897–921 (2007)

    CrossRef  Google Scholar 

  25. Ramchurn, S., Vytelingum, P., Rogers, A., Jennings, N.: Putting the “Smarts” into the smart grid: A grand challenge for artificial intelligence. Communications of the ACM 55(4), 86–97 (2012)

    CrossRef  Google Scholar 

  26. Sabater-Mir, J., Paolucci, M.: On Representation and aggregation of social evaluations in computational trust and reputation models. International Journal of Approximate Reasoning 46(3), 458–483 (2007)

    CrossRef  Google Scholar 

  27. Savarimuthu, B.T.R., Cranefield, S., Purvis, M.A., Purvis, M.K.: Obligation norm identification in agent societies. Journal of Artificial Societies and Social Simulation 13(4) (2010), http://jasss.soc.surrey.ac.uk/13/4/3.html

  28. Sen, S., Airiau, S.: Emergence of norms through social learning. In: Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI), pp. 1507–1512. AAAI Press, Menlo Park (2007)

    Google Scholar 

  29. Sterling, L., Taveter, K.: The art of agent-oriented modeling. MIT, Cambridge/London (2009)

    Google Scholar 

  30. Shaheen, F.S., Wooldridge, M., Jennings, N.R.: Optimal Negotiation of Multiple Issues in Incomplete Information Settings. In: AAMAS 2004, pp. 1080–1087 (2004)

    Google Scholar 

  31. Tambe, M., Adibi, J., Alonaizon, Y., Erdem, A., Kaminka, G.A., Marsella, S., Muslea, I.: Building agent teams using an explicit teamwork model and learning. Artificial Intelligence 110(2), 215–239 (1999)

    CrossRef  MATH  Google Scholar 

  32. Vrdoljak, L., Podobnik, V., Jezic, G.: Forecasting the Acceptance of New Information Services by using the Semantic-aware Prediction Model. Computer Science and Information Systems 10(3), 1025–1052 (2013)

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Ivanović, M., Budimac, Z. (2014). Agreement Technologies – Towards Sophisticated Software Agents. In: Hwang, D., Jung, J.J., Nguyen, NT. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2014. Lecture Notes in Computer Science(), vol 8733. Springer, Cham. https://doi.org/10.1007/978-3-319-11289-3_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11289-3_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11288-6

  • Online ISBN: 978-3-319-11289-3

  • eBook Packages: Computer ScienceComputer Science (R0)