Abstract
Argumentation is a powerful technique to harmonise conflicts in open multi-agent systems. However, the social context of agents determines in many situations the way in which agents can argue to reach agreements. In this paper, we advance research in the area of computational argumentation frameworks by proposing an ontological-based knowledge representation formalism for the design of open Multi-Agent Systems in which the participating software agents are able to manage and exchange arguments between themselves taking into account the agents’ social context. Therefore, this formalism is represented by means of an ontology that is the core of a case-based argumentation framework for agent societies.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Aulinas, M., Tolchinsky, P., Turon, C., Poch, M., Cortés, U.: Argumentation-based framework for industrial wastewater discharges management. Engineering Applications of Artificial Intelligence 25(2), 317–325 (2012)
Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P.: The Description Logic Handbook, 2nd edn. Cambridge University Press (2007)
Bench-Capon, T., Sartor, G.: A model of legal reasoning with cases incorporating theories and values. Artificial Intelligence 150(1-2), 97–143 (2003)
Chesñevar, C., McGinnis, J., Modgil, S., Rahwan, I., Reed, C., Simari, G., South, M., Vreeswijk, G., Willmott, S.: Towards an argument interchange format. The Knowledge Engineering Review 21(4), 293–316 (2006)
Diaz-Agudo, B., Gonzalez-Calero, P.A.: An Ontological Approach to Develop Knowledge Intensive CBR Systems. In: Ontologies: A Handbook of Principles, Concepts and Applications in Information Systems. Integrated Series in Information Systems, vol. 14, pp. 173–214. Springer (2007)
Dung, P.M.: On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming, and n -person games. Artificial Intelligence 77, 321–357 (1995)
Heras, S., Jordán, J., Botti, V., Julián, V.: Case-based strategies for argumentation dialogues in agent societies. Information Sciences 223, 1–30 (2013)
Heras, S., Botti, V., Julián, V.: On a computational argumentation framework for agent societies. In: McBurney, P., Rahwan, I., Parsons, S. (eds.) ArgMAS 2010. LNCS, vol. 6614, pp. 123–140. Springer, Heidelberg (2011)
Heras, S., Jordán, J., Botti, V., Julián, V.: Argue to agree: a case-based argumentation approach. International Journal of Approximate Reasoning 54(1), 82–108 (2013)
Jordán, J., Heras, S., Julián, V.: A customer support application using argumentation in multi-agent systems. In: 14th International Conference on Information Fusion (FUSION 2011), pp. 772–778 (2011)
Ontañón, S., Plaza, E.: Learning and joint deliberation through argumentation in multi-agent systems. In: 7th International Conference on Agents and Multi-Agent Systems, AAMAS 2007. ACM Press (2007)
Prakken, H., Reed, C., Walton, D.: Dialogues about the burden of proof. In: Proceedings of the 10th International Conference on Artificial Intelligence and Law, ICAIL 2005, pp. 115–124. ACM Press (2005)
Prakken, H.: An abstract framework for argumentation with structured arguments. Argument and Computation 1, 93–124 (2010)
Rahwan, I., Zablith, F., Reed, C.: Laying the foundations for a world wide argument web. Artificial Intelligence 171(10-15), 897–921 (2007)
Rowe, G., Reed, C.: Diagramming the argument interchange format. In: 2nd Conference on Computational Models of Argument, COMMA 2008, pp. 348–359. IOS Press (2008)
Sierra, C., Botti, V., Ossowski, S.: Agreement Computing. KI - Künstliche Intelligenz (2011), doi: 10.1007/s13218-010-0070-y
Walton, D., Reed, C., Macagno, F.: Argumentation Schemes. Cambridge University Press (2008)
Wardeh, M., Bench-Capon, T., Coenen, F.P.: PISA - Pooling Information from Several Agents: Multiplayer Argumentation From Experience. In: Proceedings of the 28th SGAI International Conference on Artificial Intelligence, AI 2008, pp. 133–146. Springer (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Heras, S., Botti, V., Julián, V. (2013). ArgCBROnto: A Knowledge Representation Formalism for Case-Based Argumentation. In: Chesñevar, C.I., Onaindia, E., Ossowski, S., Vouros, G. (eds) Agreement Technologies. Lecture Notes in Computer Science(), vol 8068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39860-5_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-39860-5_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39859-9
Online ISBN: 978-3-642-39860-5
eBook Packages: Computer ScienceComputer Science (R0)