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AVERs: an argument visualization tool for representing stories about evidence
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International Conference on Artificial Intelligence and Law archive
Proceedings of the 11th international conference on Artificial intelligence and law table of contents
Stanford, California
SESSION: Evidential reasoning table of contents
Pages: 11 - 15  
Year of Publication: 2007
ISBN:978-1-59593-680-6
Authors
Susan W. van den Braak  Utrecht University
Gerard A. W. Vreeswijk  Utrecht University
Henry Prakken  Utrecht University, University of Groningen
Sponsor
: International Association for Artificial Intelligence and Law
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper proposes an architecture for a sense-making system for crime investigation named AVERs (Argument Visualization for Evidential Reasoning based on stories). It is targeted at crime investigators who may use it to explain initially observed facts by drawing links between these facts and hypothesized events, and to connect the thus created stories to evidence through argumentation. AVERs draws on a combination of ideas from visualizing argumentation and anchored narratives theory.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Austhink Rationale (www page). http://www.austhink.com/rationale, 2006.
 
2
S. T. Adams. Investigation of the "Convince Me" computer environment as a tool for critical argumentation about public policy issues. Journal of Interactive Learning Reseach, 14(3):263--283, 2003.
 
3
F. J. Bex, H. Prakken, and B. Verheij. Anchored narratives in reasoning about evidence. In T. M. van Engers, editor, Legal Knowledge and Information Systems. JURIX 2006: The Nineteenth Annual Conference, pages 11--20, Amsterdam, The Netherlands, 2006. IOS Press.
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J. Keppens and B. Schafer. Knowledge based crime scenario modelling. Expert Systems with Applications, 30:203--222, 2006.
 
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C. A. Reed and G. W. A. Rowe. Araucaria: Software for argument analysis, diagramming and representation. International Journal of Artificial Intelligence Tools, 14(3-4):961--980, 2004.
 
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D. D. Suthers, A. Weiner, J. Connelly, and M. Paolucci. Belvedere: Engaging students in critical discussion of science and public policy issues. In AI-Ed 95, The 7th World Conference on Artificial Intelligence in Education, pages 266--273, 1995.
 
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S. W. van den Braak and G. A. W. Vreeswijk. AVER: Argument visualization for evidential reasoning. In T. M. van Engers, editor, Legal Knowledge and Information Systems. JURIX 2006: The Nineteenth Annual Conference, pages 151--156, Amsterdam, The Netherlands, 2006. IOS Press.
 
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G. A. W. Vreeswijk. An algorithm to compute minimally grounded and admissible defence sets in argument systems. In P. E. Dunne and T. J. M. Bench-Capon, editors, Proceedings of the First International Conference on Computational Models of Argument, (Frontiers in Artificial Intelligence and Applications, 144), pages 109--120, Amsterdam, The Netherlands, 2006. IOS Press.
 
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W. A. Wagenaar, H. F. M. Crombag, and P. J. van Koppen. Anchored Narratives: Psychology of Proof in Criminal Law. St Martin's Press / Prentice-Hall, New York, NY, 1993.
 
14
D. N. Walton. Argumentation Schemes for Presumptive Reasoning. Lawrence Erlbaum Associates, Mahwah, NJ, 1996.

Collaborative Colleagues:
Susan W. van den Braak: colleagues
Gerard A. W. Vreeswijk: colleagues
Henry Prakken: colleagues