Abstract
The book by briefly summarizing it and presenting the results and their possible impact in the various research communities. It concludes that both arguments and stories are needed for proper reasoning with criminal evidence and that the main aim of the book, combining arguments and stories into one comprehensive theory, has been achieved. The chapter ends with some observations of issues that could be interesting for future research.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Which is based on earlier research by Bex et al. (2003).
- 2.
The last version of AVERS works with a slightly adapted version of the “static” hybrid theory. The dialogue game has not been explicitly implemented in the system.
- 3.
Examples of such questions are “can we be sure that the dialogue game always leads to a correct formal theory AET?” and “does a story that completes a scheme always have all of its parts?”.
References
Bex, F.J., Prakken, H., Reed, C. and Walton, D.N. (2003) Towards a formal account of reasoning about evidence: argumentation schemes and generalisations. Artificial Intelligence and Law 11, 125–165.
Rumelhart, D.E. (1975) Notes on a schema for stories. In Bobrow, D.G. and Collins, A. (eds.), Representation and Understanding: Studies in Cognitive Science, Academic Press, New York (New York).
Schank, R.C. and Abelson, R.P. (1977) Scripts, Plans, Goals and Understanding: an Inquiry into Human Knowledge Structures, Lawrence Erlbaum, Hillsdale (New Jersey).
Verheij, B. (1999) Automated argument assistance for lawyers. Proceedings of the 7th International Conference on Artificial Intelligence and Law, 43–52, ACM New York (New York).
Braak, S.W. van den (2010) Sensemaking Software for Crime Analysis. Doctoral dissertation, Intelligent Systems Group, Utrecht University (SIKS Dissertation Series No. 2010–2012).
Braak, S.W. van den, Oostendorp, H. van, Vreeswijk, G. and Prakken, H. (2008) Representing Narrative and Testimonial Knowledge in Sense – making Software for Crime Analysis. JURIX 2008: The 21st Annual Conference, 160–169, IOS Press, Amsterdam.
Braak, S.W. van den, Vreeswijk, G. and Prakken, H. (2007) AVERs: An argument visualization tool for representing stories about evidence. Proceedings of the 11th International Conference on Artificial Intelligence and Law, ACM, New York, NY (New York).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Bex, F.J. (2011). Conclusions. In: Arguments, Stories and Criminal Evidence. Law and Philosophy Library, vol 92. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0140-3_8
Download citation
DOI: https://doi.org/10.1007/978-94-007-0140-3_8
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-0139-7
Online ISBN: 978-94-007-0140-3
eBook Packages: Humanities, Social Sciences and LawLaw and Criminology (R0)