Abstract
Argumentation Systems are reasoning systems that provide automatic computation of arguments. “Argument Assistant Systems” are graphic-oriented tools for supporting end-users to manipulate arguments. Recently, the novel family of “Hybrid Argumentation Systems” (HAS) has emerged, combining these two approaches. Even when some HAS have been presented, either they show in the interface only final results of the computation of the dispute situation under consideration, or have not explicit considered usability features focused on real final users. Besides, current semantic goes from the definition of theoretical considerations to the graphical representation of the dispute situation under consideration, avoiding the direct manipulation of arguments is a graphical fashion. This paper discusses lessons learned at the development of DeLP Client, a particular HAS software oriented towards end-users where main goals include going beyond the above limitations. To achieve usability goals, some usability-oriented design guidelines recently proposed for the argumentation systems domain are considered.
Chapter PDF
Similar content being viewed by others
Keywords
References
Chesñevar, C.I., Maguitman, A., Loui, R.: Logical Models of Argument. ACM Computing Surveys 32(4), 337–383 (2000)
Verheij, B.: Artificial argument assistants for defeasible argumentation. Journal of Artificial Intelligence 150(1-2), 291–324 (2003)
Verheij, B.: Argumentation Support Software: Boxes-and-Arrows and Beyond. Law, Probability & Risk 6, 187–208 (2007)
González, M.P., Chesñevar, C., Pinkwart, N., Gomez Lucero, M.: Developing Argument Assistant System from a Usability viewpoint. In: Proc. KMIS 2010, pp. 157–163 (2010)
García, A., Simari, G.: Defeasible Logic Programming: An Argumentative Approach. Theory and Practice of Logic Programming 4(1), 95–138 (2004)
Brena, R., Chesñevar, C.: Information Distribution Decisions Supported by Argumentation. In: Encyclopaedia of Decision Making and Decision Support Technology, Information Science Reference, vol. II, pp. 489–495 (2008), ISBN 978-1-59904-843-7
Williams, M., Hunter, H.: Harnessing ontologies for argument-based decision-making in breast cancer. In: Proceedings of ICTAI 2007, pp. 254–261 (2007)
González, M.P., Penichet, V.M.R., Simari, G.R., Tesoriero, R.: Development of CSCW interfaces from a user-centered viewpoint: Extending the TOUCHE process model through defeasible argumentation. In: Kurosu, M. (ed.) HCD 2009. LNCS, vol. 5619, pp. 955–964. Springer, Heidelberg (2009)
Bench-Capon, T., Dunne, E.: Argumentation in Artificial Intelligence. Int. Journal on Artificial Intelligence 171, 619–641 (2007)
Reed, C., Rowe, G.: Araucaria: Software for Argument Analysis, Diagramming and Representation. Int. Journal on Artificial Intelligence Tools 14, 961–980 (2004)
Buckingham Shum, S.: Cohere: Towards Web 2.0 Argumentation. In: Proc. Int. Conf. COMMA 2008, pp. 97–108. IOS Press, Amsterdam (2008)
Okada, A., Buckingham Shum, S., Sherborne, T. (eds.): Knowledge Cartography: Software Tools and Mapping Techniques. Advanced Information and Knowledge Processing Series. Springer, Heidelberg (2008), ISBN 978-1-84800-148-0
Van den Braak, S., Vreeswijk, G., Prakken, H.: AVERs: an argument visualization tool for representing stories about evidence. In: Proc. of the 11th ICAIL, pp. 11–15 (2007)
Hunter, T.: Hybrid argumentation systems for structured news reports. The Knowledge Engineering Review 16(4), 295–329 (2001), ISSN 0269-8889
Besnard, P., Hunter, A.: A logic-based theory of deductive arguments. In: Artificial Intelligence, vol. 128, pp. 203–235 (2001)
Rahwan, I., Amgoud, L.: An Argumentation-based Approach for Practical Reasoning. In: 5th AAMAS 2006, pp. 347–354. ACM Press, New York (2006)
Gaertner, D., Toni, F.: Hybrid argumentation and its properties. In: Proc. 2nd Int. Conf. COMMA, pp. 183–195. IOS Press, Amsterdam (2008), ISBN: 978-1-58603-859-5
Kakas, A.C., Toni, F.: Computing Argumentation in Logic Programming. Journal of Logic and Computation 9, 515–562 (1999)
Morge, M.: The hedgehog and the fox. In: Rahwan, I., Parsons, S., Reed, C. (eds.) Argumentation in Multi-Agent Systems. LNCS (LNAI), vol. 4946, pp. 114–131. Springer, Heidelberg (2008)
Prakken, H.: An abstract framework for argumentation with structured arguments. Argument and Computation 1, 93–124 (2010)
South, M., Vreeswijk, G., Fox, J.: A Java Dung Reasoner. In: Proc. Int. Conf. COMMA 2008, pp. 360–368. IOS Press, Amsterdam (2008), ISBN: 978-1-58603-859-5
Brewka, G., Gordin, T.: Carneades and Abstract Dialectical Frameworks: A Reconstruction. In: Proc. COMMA 2010, pp. 3–12. IOS Press, Amsterdam (2010), ISBN 978-1-60750-618-8
Baroni, P., Giacomin, M.: Semantics of Abstract Argument Systems. In: Argumentation in Artificial Intelligence, pp. 25–44. Springer, Heidelberg (2009), ISBN: 978-0-387-98196-3
Gaertner, D., Toni, F.: Computing Arguments and Attacks in Assumption-Based Argumentation, vol. 22 (6), pp. 24–33. IS, IEEE Computer Society, Los Alamitos (2007), ISSN 1541-1672
Escarza, S., Castro, S., Martig, S.: DeLP Viewer: a Defeasible Programming Visualization Tool. In: PROC. XVCACIC, pp. 556–565 (2009), ISBN: 978-897-24068-4-1
Williams, M., Hunter, H.: Harnessing ontologies for argument-based decision-making in breast cancer. In: Proceedings of ICTAI 2007, pp. 254–261 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
González, M.P., Gottifredi, S., García, A.J., Simari, G.R. (2011). Towards Argument Representational Tools for Hybrid Argumentation Systems. In: Salvendy, G., Smith, M.J. (eds) Human Interface and the Management of Information. Interacting with Information. Human Interface 2011. Lecture Notes in Computer Science, vol 6772. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21669-5_28
Download citation
DOI: https://doi.org/10.1007/978-3-642-21669-5_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21668-8
Online ISBN: 978-3-642-21669-5
eBook Packages: Computer ScienceComputer Science (R0)