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Evaluating Expert Opinion Evidence

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Argument Evaluation and Evidence

Part of the book series: Law, Governance and Technology Series ((LGTS,volume 23))

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Abstract

This chapter offers solutions to key problems of how to apply argumentation tools to analyze and evaluate arguments from expert opinion. It is shown (1) how to structure the argumentation scheme for argument from expert opinion, (2) how to apply it to real cases of argument from expert opinion, (3) how to set up the matching set of critical questions that go along with the scheme, (4) how to find the place of trust in configuring the schemes and critical questions, (5) how to use these tools to construct an argument diagram to represent pro and con arguments in a given argument from expert opinion, (6) how to evaluate the arguments and critical questions shown in the diagram, and (7) how to use this structure within a formal computational model to determine whether what the expert says is acceptable or not. One of the critical questions raises the issue of trust, and a central problem is to determine how the other critical questions fit with this one. The chapter studies how trust is related to argument from expert opinion in formal computational argumentation models.

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Notes

  1. 1.

    Michael Kimmelman, Absolutely Real? Absolutely Fake?, New York Times, August 4, 1991, accessed 29/8/2008.

References

  • Dung, P.M. 1995. On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games. Artificial Intelligence 77(2): 321–357.

    Article  Google Scholar 

  • Freedman, D.H. 2010. Wrong: Why experts keep failing us – And how to know when not to trust them. New York: Little Brown and Company.

    Google Scholar 

  • Goldman, A. 1999. Knowledge in a social world. Oxford: Clarendon.

    Book  Google Scholar 

  • Goldman, A. 2001. Experts: Which ones should you trust? Philosophy and Phenomenological Research LXIII(1): 85–110.

    Article  Google Scholar 

  • Gordon, T.F. 2010. The Carneades argumentation support system. In Dialectics, dialogue and argumentation, ed. C. Reed and C.W. Tindale. London: College Publications.

    Google Scholar 

  • Gordon, T.F., and D. Walton. 2009. Proof burdens and standards. In Argumentation and artificial intelligence, ed. Iyad Rahwan and Guillermo Simari, 239–260. Berlin: Springer.

    Chapter  Google Scholar 

  • Grice, H.P. 1975. Logic and conversation. In Syntax and semantics, vol. 3, ed. P. Cole and J.L. Morgan, 43–58. New York: Academic.

    Google Scholar 

  • Hahn, U., A. Harris, and M. Oaksford. 2013. Rational argument, rational inference. Argument and Computation 4(1): 21–35.

    Article  Google Scholar 

  • Hamblin, C.L. 1970. Fallacies. London: Methuen.

    Google Scholar 

  • Haynes A.S., G.E. Derrick, S. Redman, W.D. Hall, J.A. Gillespie, et al. 2012. Identifying trustworthy experts: How do policymakers find and assess public health researchers worth consulting or collaborating with? PLoS ONE 7(3): e32665. doi:10.1371/journal.pone.0032665. Accessed 10 July 2013 at: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0032665.

    Google Scholar 

  • Herz, N., and M. Waelkens. 1988. Classical marble: Geochemistry, technology, trade. Dordrecht: Kluwer Academic Publishers.

    Book  Google Scholar 

  • Li, H., and M. Sighal. 2007. Trust management in distributed systems. Computer 40(2): 45–53.

    Article  Google Scholar 

  • Margolis, S.T. 1989. Authenticating ancient marble sculpture. Scientific American 260(6): 104–114.

    Article  Google Scholar 

  • Mizrahi, M. 2013. Why arguments from expert opinion are weak arguments. Informal Logic 33(1): 57–79.

    Google Scholar 

  • Modgil, S., and H. Prakken. 2014. The ASPIC+ framework for structured argumentation: A tutorial. Argument and Computation 5(1): 31–62.

    Article  Google Scholar 

  • Parsons, S., K. Atkinson, K. Haigh, K. Levitt, P. McBurney, J. Rowe, M.P. Singh, and E. Sklar. 2012. Argument schemes for reasoning about trust. In Computational models of argument, Frontiers in artificial intelligence and applications, vol. 245, 430–441. Amsterdam: IOS Press.

    Google Scholar 

  • Pollock, J.L. 1995. Cognitive carpentry. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Prakken, H. 2005. A study of accrual of arguments, with applications to evidential reasoning. In Proceedings of the tenth international conference on artificial intelligence and law, Bologna, 2005, 85–94. New York: ACM Press.

    Google Scholar 

  • Prakken, H. 2010. An abstract framework for argumentation with structured arguments. Argument & Computation 1(2): 93–124.

    Article  Google Scholar 

  • Prakken, H. 2011. An overview of formal models of argumentation and their application in philosophy. Studies in Logic 4(1): 65–86.

    Google Scholar 

  • Prakken, H., and G. Sartor. 1997. Argument-based extended logic programming with defeasible priorities. Journal of Applied Non-classical Logics 7: 25–75.

    Article  Google Scholar 

  • Prakken, H., and G. Sartor. 2009. A logical analysis of burdens of proof. In Legal evidence and proof: Statistics, stories, logic, ed. H. Kaptein, H. Prakken, and B. Verheij, 223–253. Farnham: Ashgate.

    Google Scholar 

  • Reed, C., and D. Walton. 2003. Diagramming, argumentation schemes and critical questions. In Anyone who has a view: Theoretical contributions to the study of argumentation, ed. F.H. van Eemeren, J.A. Blair, C.A. Willard, and A. Snoeck Henkemans, 195–211. Dordrecht: Kluwer.

    Google Scholar 

  • Schiappa, E. 2002. Sophisticated modernism and the continuing importance of argument evaluation. In Arguing communication and culture: Selected papers from the 12th NCA/AFA conference on argumentation, ed. G.T. Goodnight, 51–58. Washington, DC: National Communication Association.

    Google Scholar 

  • True, M. 1987. A Kouros at the Getty Museum. The Burlington Magazine 129(1006): 3–11.

    Google Scholar 

  • Tversky, A., and D. Kahneman. 1982. Judgments of and by representativeness. In Judgment under uncertainty: Heuristics and biases, ed. D. Kahneman, P. Slovic, and A. Tversky. Cambridge: Cambridge University Press.

    Google Scholar 

  • van Eemeren, F.H., and R. Grootendorst. 1992. Argumentation, communication and fallacies. Mahwah: Erlbaum.

    Google Scholar 

  • Verheij, B. 2003. DefLog: On the logical interpretation of prima facie justified assumptions. Journal of Logic and Computation 13(3): 319–346.

    Article  Google Scholar 

  • Verheij, B. 2005. Virtual arguments. On the design of argument assistants for lawyers and other arguers. The Hague: TMC Asser Press.

    Google Scholar 

  • Walton, D. 1989. Informal logic. Cambridge: Cambridge University Press.

    Google Scholar 

  • Walton, D. 1997. Appeal to expert opinion. University Park: Penn State Press.

    Google Scholar 

  • Walton, D. 2010. Why fallacies appear to be better arguments than they are. Informal Logic 30(2): 159–184.

    Google Scholar 

  • Walton, D., and D. Godden. 2005. The nature and status of critical questions in argumentation schemes. In The uses of argument: Proceedings of a conference at McMaster University 18–21 May, 2005, ed. D. Hitchcock, 476–484, Hamilton, Ontario.

    Google Scholar 

  • Walton, D., and T.F. Gordon. 2005. Critical questions in computational models of legal argument. In Argumentation in artificial intelligence and law, IAAIL workshop series, ed. P.E. Dunne and T.J.M. Bench-Capon, 103–111. Nijmegen: Wolf Legal Publishers.

    Google Scholar 

  • Walton, D., and T.F. Gordon. 2011. Modeling critical questions as additional premises. In Argument cultures: Proceedings of the 8th international OSSA conference, ed. F. Zenker, 1–13. Windsor. Available at http://www.dougwalton.ca/papers%20in%20pdf/11OSSA.pdf.

  • Walton, D., and N. Zhang. 2013. The epistemology of scientific evidence. Artificial Intelligence and Law 21(2): 173–219.

    Article  Google Scholar 

  • Walton, D., C. Reed, and F. Macagno. 2008. Argumentation schemes. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Wyner, A. 2012. Questions, arguments, and natural language semantics. In Proceedings of the 12th workshop on Computational Models of Natural Argumentation (CMNA 2012), Montpellier, France, 16–20.

    Google Scholar 

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Walton, D. (2016). Evaluating Expert Opinion Evidence. In: Argument Evaluation and Evidence. Law, Governance and Technology Series, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-19626-8_4

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