Generating Dialectical Examples Automatically

We identify and illustrate five important kinds of Dialectical Examples, standard configurations of cases which enable an arguer to justify rhetorical assertions effectively by example. Our computer program generates Argument Contexts, collections of cases that instantiate Dialectical Examples from an on-line database of cases according to a user's general specifications. The Argument Context generation program provides a human or automated tutor a stock of Dialectical Examples to teach novice advocates (first year law students) how to recognize, carry out and respond to the associated rhetorical moves. Although generating such examples is very hard for humans even when dealing with small numbers of cases, our program generates and organizes such examples quickly and effectively. In a preliminary experiment, we employed program-generated Argument Contexts manually to teach basic argument skills to first year law students with good results. Our ability to define such complex examples declaratively in terms of logical expressions of Loom concepts and relations affords a number of advantages over previous work.

[1]  Kevin D. Ashley,et al.  Explaining and Arguing With Examples , 1984, AAAI.

[2]  Elliot Soloway,et al.  Overview of an Example Generation System , 1980, AAAI.

[3]  Edwina L. Rissland,et al.  Combining Case-Based and Rule-Based Reasoning: A Heuristic Approach , 1989, IJCAI.

[4]  Kevin D. Ashley,et al.  Waiting on Weighting: A Symbolic Least Commitment Approach , 1988, AAAI.

[5]  Kevin D. Ashley Reasoning with Cases and Hypotheticals in HYPO , 1991, Int. J. Man Mach. Stud..

[6]  L. Thorne McCarty,et al.  The Representation of an Evolving System of Legal Concepts: II. Prototypes and Deformations , 1981, IJCAI.

[7]  Robert M. MacGregor,et al.  A Deductive Pattern Matcher , 1988, AAAI.

[8]  William J. Clancey,et al.  The Epistemology of a Rule-Based Expert System - A Framework for Explanation , 1981, Artif. Intell..

[9]  Kevin D. Ashley Modeling legal argument - reasoning with cases and hypotheticals , 1991, Artificial intelligence and legal reasoning.

[10]  Patrick Henry Winston,et al.  Learning structural descriptions from examples , 1970 .

[11]  Vincent Aleven,et al.  Automated Generation of Examples for a Tutorial in Case-Based Argumentation , 1992, Intelligent Tutoring Systems.

[12]  D. Gentner Structure‐Mapping: A Theoretical Framework for Analogy* , 1983 .

[13]  Vincent Aleven,et al.  Toward an intelligent tutoring system for teaching law students to argue with cases , 1991, ICAIL '91.

[14]  James G. Schmolze,et al.  The KL-ONE family , 1992 .

[15]  Kevin D. Ashley Defining Salience in Case-Based Arguments , 1989, IJCAI.