Abstract
This paper discusses the importance of the post-retrieval steps of CBR, that is, the steps that occur after relevant cases have been retrieved. Explanations and arguments, for instance, require much to be done post-retrieval. I also discuss both the importance of explanation to CBR and the use of CBR to generate explanations.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
- Legal Reasoning
- Legal Argument
- Statutory Interpretation
- Business School Student
- Intelligent Learning Environment
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Aamodt, A., Plaza, E.: Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. Artificial Intelligence Communications 7(1), 39–59 (1994)
Aleven, V.: Using background knowledge in case-based legal reasoning: A computational model and an intelligent learning environment. Artificial Intelligence 150(1-2), 183–237 (2003)
Aleven, V., Ashley, K.D.: Automated Generation of Examples for a Tutorial in Case Based Argumentation. In: Second International Conference on Intelligent Tutoring Systems (ITS 1992), pp. 575–584 (1992)
Ashley, K.D.: Modeling Legal Argument: Reasoning with Cases and Hypotheticals. MIT Press, Cambridge (1990)
Branting, L.K.: Building Explanations from rules and structured cases. International Journal of Man-Machine Studies 34(6), 797–837 (1991)
Branting, L.K.: Reasoning with Rules and Precedents. Kluwer Academic Publishers, Dordrecht (2000)
Bridge, D.: The Virtue of Reward: Performance, Reinforcement, and Discovery in Case-Based Reasoning. In: Muñoz-Ávila, H., Ricci, F. (eds.) ICCBR 2005. LNCS (LNAI), vol. 3620, Springer, Heidelberg (2005)
Cheetham, W.: Tenth Anniversary of the Plastics Color Formulation Tool. AI Magazine 26(3), 51–61 (2005)
Daniels, J.J., Rissland, E.L.: What You Saw Is What You Want: Using Cases to Seed Information Retrieval. In: Leake, D.B., Plaza, E. (eds.) ICCBR 1997. LNCS, vol. 1266, pp. 325–337. Springer, Heidelberg (1997)
Falkenhainer, B., Forbus, K.D., Gentner, D.: The structure-mapping engine: algorithm and examples. Artificial Intelligence 41(1), 1–63 (1989)
Forbus, K., Gentner, D., Law, K.: MAC/FAC: A model of similarity-based retrieval. Cognitive Science 19, 141–205 (1994)
Gardner, A.: vdL. An Artificial Intelligence Approach to Legal Reasoning. MIT Press, Cambridge (1987)
Gentner, D.: Structure-mapping: A theoretical framework for analogy. Cognitive Science 7(2), 155–170 (1983)
Göker, M., Roth-Berghofer, T.: Development and utilization of a Case-Based Help desk Support Sytem in a Corporate Environment. In: Althoff, K.-D., Bergmann, R., Branting, L.K. (eds.) ICCBR 1999. LNCS, vol. 1650, pp. 132–146. Springer, Heidelberg (1999)
Golding, A.R., Rosenbloom, P.S.: Improving rule-based systems through case-based reasoning. In: Proceedings of the Ninth National Conference on Artificial Intelligence (AAAI 1991), pp. 22–27 (1991)
Hammond, K.J.: Case-based planning. Academic Press, London (1989)
Hastings, J., Branting, L.K., Lockwood, J.: CARMA: A case-based rangeland management advisor. AI Magazine 23(2), 49–62 (2002)
Kolodner, J.L.: Case-Based Reasoning. Morgan Kaufmann, San Francisco (1993)
Koton, P.: Reasoning about evidence in causal explanation. In: Proceedings Seventh National on Artificial Intelligence (AAAI 1988), pp. 256–261 (1988)
Kotovsky, L., Gentner, D.: Comparison and categorization in the development of relational similarity. Child Development 67, 2797–2822 (1986)
Lakatos, I.: Proofs and Refutations: The Logic of Mathematical Discovery. Cambridge University Press, Cambridge (1976)
Leake, D.B.: Evaluating Explanations: A Content Theory. Lawrence Erlbaum, Mahwah (1992)
Leake, D.B. (ed.): Case-Based Reasoning: Experiences, Lessons, & Future Directions. AAAI Press/MIT Press (1996)
Leake, D.B., McSherry, D. (eds.): Artificial Intelligence Review: Special Issue on Case-Based Reasoning and Explanation, vol. 24(2) (2005)
Loewenstein, J., Thompson, L., Gentner, D.: Analogical encoding facilitates knowledge transfer in negotiation. Psychonomic Bulletin & Review 6, 586–597 (1999)
Marling, C.R., Petot, G.J., Sterling, L.S.: Integrating case-based and rule-based reasoning to meet multiple design constraints. Computational Intelligence 15(3), 308–332 (1999)
Marling, C., Muñoz-Avila, H., Rissland, E.L., Sqalli, M., Aha, D.: Case-Based Reasoning Integrations. AI Magazine 23(1), 69–86 (Spring 2002)
Marling, C., Rissland, E.L., Aamodt, A.: Integrations with case-based reasoning. Knowledge Engineering Review; Special issue on Case-Based Reasoning 20(3) (2006)
McCarty, L.T., Sridharan, N.S.: The Representation of an Evolving System of Legal Concepts: I. Logical Templates. In: Proceedings Third National Conference of the Canadian Society for Computational Studies of Intelligence, Victoria, May 1980, pp. 304–311 (1980)
McLaren, B.M.: Extensionally defining principles and cases in ethics: An AI model. Artificial Intelligence 150(1-2), 145–181 (2003)
McSherry, D.: Explanation in Recommender Systems. In: Leake, D.B., McSherry, D. (eds.) Artificial Intelligence Review: Special Issue on Case-Based Reasoning and Explanation, vol. 24(2) (2005)
Medin, D.: Concepts and conceptual structure. American Psychologist 44, 1469–1481 (1989)
Medin, D.L., Shaffer, M.M.: Context theory of classification learning. Psychological Review 85, 207–238 (1978)
Murphy, G.L.: The Big Book of Concepts. MIT Press, Cambridge (2002)
Namy, L.L., Gentner, D.: Making a silk purse out of two sows’ ears: Young children’s use of comparison in category learning. Journal of Experimental Psychology: General 131, 5–15 (2002)
Polya, G.: Mathematical Discovery, vol. 2. John Wiley & Sons, Chichester (1965)
Reilly, J., McCarthy, K., McGinty, L., Smyth, B.: Explaining Compound Critiques. In: Leake, D.B., McSherry, D. (eds.) Artificial Intelligence Review: Special Issue on Case-Based Reasoning and Explanation, vol. 24(2) (2005)
Rissland, E.(M.): Understanding Understanding Mathematics. Cognitive 2(4), 361–383 (1978)
Rissland, E.L.: Example Generation. In: Proceedings Third National Conference of the Canadian Society for Computational Studies of Intelligence, Victoria, May 1980, pp. 280–288 (1980)
Rissland, E.L.: Examples in Legal Reasoning: Legal Hypotheticals. In: Proceedings Eighth International Joint Conference on Artificial Intelligence (IJCAI 1983), August 1983, pp. 90–93 (1983)
Rissland, E.L.: The Ubiquitous Dialectic. In: Proceedings Sixth European Conference on Artificial Intelligence (ECAI 1984), Pisa, pp. 367–372. North-Holland, Amsterdam (1984)
Rissland, E.L., Ashley, K.D.: Hypotheticals as Heuristic Device. In: Proceedings Fifth National Conference on Artificial Intelligence (AAAI 1986), Philadelphia, pp. 289–297 (1986)
Rissland, E.L., Ashley, K.D., Loui., R.P.: AI and Law: A Fruitful Synergy. Artificial Intelligence 150(1-2), 1–15 (2003)
Rissland, E.L., Daniels, J.J.: Using CBR to Drive IR. In: Proceedings Fourteenth International Joint Conference on Artificial Intelligence (IJCAI 1995), Montreal, pp. 400–407 (1995)
Rissland, E.L., Daniels, J.J.: The Synergistic Application of CBR to IR. Artificial Intelligence Review: Special Issue on the use of AI in Information Retrieval 10, 441–475 (1996)
Rissland, E.L., Skalak, D.B.: CABARET: Statutory Interpretation in a Hybrid Architecture. International Journal of Man-Machine Studies 34(6), 839–887 (1991)
Rissland, E.L., Soloway, E.M.: Overview of an Example Generation System. In: Proceedings First National Conference on Artificial Intelligence (AAAI 1980), Stanford, pp. 256–258 (1980)
Rissland, E.L., Valcarce, E.M., Ashley, K.D.: Explaining and Arguing with Examples. In: Proceedings Fourth National on Artificial Intelligence (AAAI 1984), Austin, pp. 288–294 (1984)
Rosch, E., Mervais, C.B.: Family resemblance: Studies in the internal structure of categories. Cognitive Psychology 7, 573–605 (1975)
Schank, R.C., Leake, D.B.: Creativity and Learning in a Case-Based Explainer. Artificial Intelligence 40(1-3), 353–385 (1989)
Skalak, D.B., Rissland, E.L.: Arguments and Cases: An Inevitable Intertwining. Artificial Intelligence and Law 1(1), 3–44 (1992)
Smith, E.E., Medin, D.L.: Categories and Concepts. Harvard University Press (1981)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rissland, E.L. (2006). The Fun Begins with Retrieval: Explanation and CBR. In: Roth-Berghofer, T.R., Göker, M.H., Güvenir, H.A. (eds) Advances in Case-Based Reasoning. ECCBR 2006. Lecture Notes in Computer Science(), vol 4106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11805816_1
Download citation
DOI: https://doi.org/10.1007/11805816_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36843-4
Online ISBN: 978-3-540-36846-5
eBook Packages: Computer ScienceComputer Science (R0)