Abstract
We present an argumentation-based approach to design and realise agents that can support the selection and composition of services in distributed environments, such as service-oriented architectures and grids. The choice of services (for selection or for composition) is equated to decisions. The agents are equipped with beliefs, in the form of (possibly conflicting) defeasible rules, goals and alternative decisions. Beliefs, goals, decisions may be ranked according to specified preferences. We show how beliefs and preferences can be taken into account to support the decision-making process of the agent, in order to achieve its goals. We deal with conflicts and preferences by using assumption-based argumentation, an existing computational-logic-based argumentation framework, that has already been proven to be an effective tool for many applications of argumentation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Amgoud, L.: A unified setting for inference and decision: an argumentation-based approach. In: Proc. IJCAI Workshop on Computational Models of Natural Arguments (2005)
Bench-Capon, T., Prakken, H.: Justifying actions by accruing arguments. In: 1st International Conference on Computational Models of Argument (COMMA) (2006)
Bondarenko, A., Dung, P., Kowalski, R., Toni, F.: An abstract, argumentation-theoretic framework for default reasoning. Artificial Intelligence 93(1-2), 63–101 (1997)
Brewka, G.: Well-founded semantics for extended logic programs with dynamic preferences. Journal of Artificial Intelligence Research 4, 19 (1996)
Caminada, M., Amgoud, L.: An axiomatic account of formal argumentation. In: Proc. AAAI (2005)
Dimopoulos, Y., Nebel, B., Toni, F.: On the computational complexity of assumption-based argumentation for default reasoning. Artificial Intelligence 141, 57–78 (2002)
Dung, P.: The acceptability of arguments and its fundamental role in non-monotonic reasoning and logic programming and n-person game. Artificial Intelligence 77, 321–357 (1995)
Dung, P., Kowalski, R., Toni, F.: Dialectic proof procedures for assumption-based, admissible argumentation. Artificial Intelligence 170, 114–159 (2006)
Dung, P., Mancarella, P., Toni, F.: A dialectic procedure for sceptical, assumption-based argumentation. In: 1st International Conference on Computational Models of Argument (COMMA) (2006)
Dung, P., Mancarella, P., Toni, F.: Computing ideal sceptical argumentation. Artificial Intelligence - Special Issue on Argumentation in Artificial Intelligence 171(10-15), 642–674 (2007)
Foster, I., Jennings, N., Kesselman, C.: Brain meets brawn: why grid and agents need each other. In: Proc. AAMAS (2004)
Gaertner, D., Toni, F.: A credulous and sceptical argumentation system. In: Proc. of ArgNMR (2007)
Kakas, A.C., Moraitis, P.: Argumentation based decision making for autonomous agents. In: Proc. AAMAS, pp. 883–890 (2003)
Kowalski, R.A., Toni, F.: Abstract argumentation. Journal of Artificial Intelligence and Law, Special Issue on Logical Models of Argumentation 4(3-4), 275–296 (1996)
Stathis, K., Lekeas, G.K., Kloukinas, C.: Competence checking for the global e-service society using games. In: Engineering Societies in the Agents World (ESAW 2006). Springer, Heidelberg (2007)
Morge, M.: A dialectics multiagent system in which argumentative agents play and arbitrate to reach an agreement. In: Proc.1st Workshop on Argumentation in Artificial Intelligence and Law (2005)
Nute, D.: Defeasible reasoning. In: Fetzer, J.H. (ed.) Aspects of Artificial Intelligence, pp. 251–288. Kluwer Academic Publishers, Dordrecht (1987)
Prakken, H., Sartor, G.: Argument-based extended logic programming with defeasible priorities. Journal of Applied Non-Classical Logics 7(1), 25–75 (1997)
Stournaras, T., Dimitrelos, D., Tabasco, A., Barba, J., Pedrazzani, D., Yage, M., An, T., Dung, P., Hung, N., Khoi, V.D., Thang, P.M.: e-business application scenarios. In: Stournaras, T. (ed.) ARGUGRID deliverable D.1.2 (2007)
Toni, F.: Assumption-Based Argumentation for Closed and Consistent Defeasible Reasoning. In: Satoh, K., Inokuchi, A., Nagao, K., Kawamura, T. (eds.) JSAI 2007. LNCS (LNAI), vol. 4914, pp. 390–402. Springer, Heidelberg (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Toni, F. (2008). Assumption-Based Argumentation for Selection and Composition of Services. In: Sadri, F., Satoh, K. (eds) Computational Logic in Multi-Agent Systems. CLIMA 2007. Lecture Notes in Computer Science(), vol 5056. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88833-8_13
Download citation
DOI: https://doi.org/10.1007/978-3-540-88833-8_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88832-1
Online ISBN: 978-3-540-88833-8
eBook Packages: Computer ScienceComputer Science (R0)