Skip to main content

Intention-Based Decision Making with Evolution Prospection

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7026))

Abstract

We explore a coherent combination, for decision making, of two Logic Programming based implemented systems, Evolution Prospection and Intention Recognition. The Evolution Prospection system has proven to be a powerful system for decision making, designing and implementing several kinds of preferences and useful environment-triggering constructs. It is here enhanced with an ability to recognize intentions of other agents—an important aspect not explored so far. The usage and usefulness of the combined system is illustrated with several extended examples.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Baral, C., Gelfond, M., Rushton, N.: Probabilistic reasoning with answer sets. Theory and Practice of Logic Programming 9(1), 57–144 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  2. Blaylock, N., Allen, J.: Corpus-based, statistical goal recognition. In: Proceedings of the 18th International Joint Conference on Artificial intelligence (IJCAI 2003), pp. 1303–1308 (2003)

    Google Scholar 

  3. Blaylock, N., Allen, J.: Statistical goal parameter recognition. In: Zilberstein, S., Koehler, J., Koenig, S. (eds.) Proceedings of the 14th International Conference on Automated Planning and Scheduling (ICAPS 2004), pp. 297–304. AAAI (2004)

    Google Scholar 

  4. Bratman, M.E.: Intention, Plans, and Practical Reason. The David Hume Series. CSLI (1987)

    Google Scholar 

  5. Bratman, M.E.: Faces of Intention: Selected Essays on Intention and Agency. Cambridge University Press (1999)

    Google Scholar 

  6. Burmeister, B., Arnold, M., Copaciu, F., Rimassa, G.: BDI-agents for agile goal-oriented business processes. In: Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems: Industrial Track, AAMAS 2008, pp. 37–44 (2008)

    Google Scholar 

  7. Han, T.A., Pereira, L.M.: Collective intention recognition and elder care. In: AAAI 2010 Fall Symposium on Proactive Assistant Agents (PAA 2010). AAAI (2010), http://www.aaai.org/ocs/index.php/FSS/FSS10/paper/view/2178/2697

  8. Han, T.A., Pereira, L.M.: Proactive intention recognition for home ambient intelligence. In: IE Workshop on AI Techniques for Ambient Intelligence, Ambient Intelligence and Smart Environments, vol. 8, pp. 91–100. IOS Press (2010)

    Google Scholar 

  9. Han, T.A., Pereira, L.M.: Context-dependent incremental intention recognition through bayesian network model construction. In: Nicholson, A. (ed.) Bayesian Modelling Applications Workshop (BMAW 2011), Conference on Uncertainty in Artificial Intelligence (UAI 2011). CEUR Workshop Proceedings (2011)

    Google Scholar 

  10. Han, T.A., Pereira, L.M., Santos, F.C.: The role of intention recognition in the evolution of cooperative behavior. In: IJCAI 2011, pp. 1684–1689. AAAI (2011)

    Google Scholar 

  11. Han, T.A., Pereira, L.M., Santos, F.C.: Intention recognition promotes the emergence of cooperation. Adaptive Behavior 9(3), 264–279 (2011)

    Google Scholar 

  12. Han, T.A., Kencana Ramli, C.D.P., Damásio, C.V.: An Implementation of Extended P-log using XASP. In: Garcia de la Banda, M., Pontelli, E. (eds.) ICLP 2008. LNCS, vol. 5366, pp. 739–743. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  13. Heinze, C.: Modeling Intention Recognition for Intelligent Agent Systems. PhD thesis, The University of Melbourne, Australia (2003)

    Google Scholar 

  14. Nowak, M.A.: Five rules for the evolution of cooperation. Science 314(5805), 1560 (2006), doi:10.1126/science.1133755.

    Article  Google Scholar 

  15. Pearl, J.: Causality: Models, Reasoning, and Inference. Cambridge U.P. (2000)

    Google Scholar 

  16. Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann (1988)

    Google Scholar 

  17. Pereira, L.M., Dell’Acqua, P., Pinto, A.M., Lopes, G.: Inspecting and preferring abductive models. In: Handbook on Reasoning-based Intelligent Systems. World Scientific (forthcoming, 2011)

    Google Scholar 

  18. Pereira, L.M., Han, T.A.: Evolution Prospection. In: Nakamatsu, K., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds.) New Advances in Intelligent Decision Technologies. SCI, vol. 199, pp. 51–63. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  19. Pereira, L.M., Han, T.A.: Evolution prospection in decision making. Intelligent Decision Technologies 3(3), 157–171 (2009)

    Article  Google Scholar 

  20. Pereira, L.M., Han, T.A.: Intention Recognition via Causal Bayes Networks Plus Plan Generation. In: Lopes, L.S., Lau, N., Mariano, P., Rocha, L.M. (eds.) EPIA 2009. LNCS, vol. 5816, pp. 138–149. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  21. Pereira, L.M., Han, T.A.: Elder Care via Intention Recognition and Evolution Prospection. In: Seipel, D. (ed.) INAP 2009. LNCS (LNAI), vol. 6547, pp. 170–187. Springer, Heidelberg (2011)

    Google Scholar 

  22. Pereira, L.P., Han, T.A.: Intention Recognition with Evolution Prospection and Causal Bayesian Networks. In: Madureira, A., Ferreira, J., Vale, Z. (eds.) Computational Intelligence for Engineering Systems: Emergent Applications, vol. 46, pp. 1–33. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  23. Rao, A.S., Georgeff, M.P.: BDI-agents: from theory to practice. In: Proceeding of First International Conference on Multiagent Systems (1995)

    Google Scholar 

  24. Roy, O.: Thinking before Acting: Intentions, Logic, Rational Choice. PhD thesis, ILLC Dissertation Series DS-2008-03, Amsterdam (2009)

    Google Scholar 

  25. Sadri, F.: Ambient intelligence, a survey. ACM Computing Surveys (2010)

    Google Scholar 

  26. Sadri, F.: Logic-based approaches to intention recognition. In: Handbook of Research on Ambient Intelligence: Trends and Perspectives (2010)

    Google Scholar 

  27. Sigmund, K.: The Calculus of Selfishness. Princeton U. Press (2010)

    Google Scholar 

  28. Sukthankar, G., Sycara, K.: Robust and efficient plan recognition for dynamic multi-agent teams. In: Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems, pp. 1383–1388 (2008)

    Google Scholar 

  29. van Hees, M., Roy, O.: Intentions and plans in decision and game theory. In: Verbeek, B. (ed.) Reasons and Intentions, pp. 207–226. Ashgate Publishers (2008)

    Google Scholar 

  30. Wooldridge, M.: Reasoning about rational agents. The Journal of Artificial Societies and Social Simulation 5 (2002)

    Google Scholar 

  31. XSB: XSB system version 3.2 vol. 2: Libraries, interfaces and packages (March 2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Han, T.A., Pereira, L.M. (2011). Intention-Based Decision Making with Evolution Prospection. In: Antunes, L., Pinto, H.S. (eds) Progress in Artificial Intelligence. EPIA 2011. Lecture Notes in Computer Science(), vol 7026. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24769-9_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24769-9_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24768-2

  • Online ISBN: 978-3-642-24769-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics