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.
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References
Baral, C., Gelfond, M., Rushton, N.: Probabilistic reasoning with answer sets. Theory and Practice of Logic Programming 9(1), 57–144 (2009)
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)
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)
Bratman, M.E.: Intention, Plans, and Practical Reason. The David Hume Series. CSLI (1987)
Bratman, M.E.: Faces of Intention: Selected Essays on Intention and Agency. Cambridge University Press (1999)
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)
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
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)
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)
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)
Han, T.A., Pereira, L.M., Santos, F.C.: Intention recognition promotes the emergence of cooperation. Adaptive Behavior 9(3), 264–279 (2011)
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)
Heinze, C.: Modeling Intention Recognition for Intelligent Agent Systems. PhD thesis, The University of Melbourne, Australia (2003)
Nowak, M.A.: Five rules for the evolution of cooperation. Science 314(5805), 1560 (2006), doi:10.1126/science.1133755.
Pearl, J.: Causality: Models, Reasoning, and Inference. Cambridge U.P. (2000)
Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann (1988)
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)
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)
Pereira, L.M., Han, T.A.: Evolution prospection in decision making. Intelligent Decision Technologies 3(3), 157–171 (2009)
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)
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)
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)
Rao, A.S., Georgeff, M.P.: BDI-agents: from theory to practice. In: Proceeding of First International Conference on Multiagent Systems (1995)
Roy, O.: Thinking before Acting: Intentions, Logic, Rational Choice. PhD thesis, ILLC Dissertation Series DS-2008-03, Amsterdam (2009)
Sadri, F.: Ambient intelligence, a survey. ACM Computing Surveys (2010)
Sadri, F.: Logic-based approaches to intention recognition. In: Handbook of Research on Ambient Intelligence: Trends and Perspectives (2010)
Sigmund, K.: The Calculus of Selfishness. Princeton U. Press (2010)
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)
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)
Wooldridge, M.: Reasoning about rational agents. The Journal of Artificial Societies and Social Simulation 5 (2002)
XSB: XSB system version 3.2 vol. 2: Libraries, interfaces and packages (March 2009)
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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
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DOI: https://doi.org/10.1007/978-3-642-24769-9_19
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