David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
This game3 was designed to investigate protocols and strategies for resourcebounded disputation. The rules presented here correspond very closely to the problem of controlling search in an actual program. The computer program on which the game is based is LMNOP (see Loui- Norman-Stiefvater-Merrill-Olson-Costello ). It is a LISP system designed to produce arguments and counterarguments from a set of statutory rules (defeasible rules) and a corpus of precedents (analogical sources), and applied to legal and quasi-legal reasoning. LMNOP was co-designed by a researcher in AI knowledge representation and by a trained computer scientist who was an editor of Washington University Law Review at the time (now a practicing litigator). LMNOP is based on the idea of a non-demonstrative or defeasible rule: i.e., a rule that admits exceptions. It adopts a representational convention that supposes there is an implicit preference of more speciﬁc rules over less speciﬁc rules. In fact, it automatically adjudicates between competing arguments when one argument meets the broader criterion of being more speciﬁc than another. The convention is based on an idea origianlly presented by David Poole , and is embedded in a system of determining which arguments are ultimately warranted, which originally appeared in the literatures of epistemology and ethics, by Pollock  (see also references to that author’s earlier work in the paper; the system dates to 1965). This system evolves from work by the ﬁrst author since 1987; the full statement of the theory is in . Prakken  is one example of the idea’s application to the legal domain. LMNOP also draws heavily on the model of legal reasoning and analogical reasoning put forward by Edwina Rissland and Kevin Ashley [89, 90]. Similarities to their legal casebased reasoning program, HYPO, are no accident; LMNOP seeks to improve on HYPO. A description of LMNOP is forthcoming (Loui-Norman ).
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
Jaap C. Hage, Ronald Leenes & Arno R. Lodder (1993). Hard Cases: A Procedural Approach. [REVIEW] Artificial Intelligence and Law 2 (2):113-167.
Thomas F. Gordon (1993). The Pleadings Game. Artificial Intelligence and Law 2 (4):239-292.
Similar books and articles
Jaap Hage (1996). A Theory of Legal Reasoning and a Logic to Match. Artificial Intelligence and Law 4 (3-4):199-273.
Jaap Hage (1997). Reasoning with Rules: An Essay on Legal Reasoning and its Underlying Logic. Kluwer.
H. Prakken & G. Sartor (1996). A Dialectical Model of Assessing Conflicting Arguments in Legal Reasoning. Artificial Intelligence and Law 4 (3-4):331-368.
Edwina L. Rissland, David B. Skalak & M. Timur Friedman (1997). Evaluating a Legal Argument Program: The BankXX Experiments. [REVIEW] Artificial Intelligence and Law 5 (1-2):1-74.
Robert Batterman (1992). Quantum Chaos and Semiclassical Mechanics. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1992:50 - 65.
Timothy Endicott (2001). Are There Any Rules? Journal of Ethics 5 (3):199-219.
Dale Hample, Bing Han & David Payne (2010). The Aggressiveness of Playful Arguments. Argumentation 24 (4):405-421.
J. L. Schellenberg (2005). The Hiddenness Argument Revisited (II). Religious Studies 41 (3):287 - 303.
Frederick Schauer (1997). Does Simplicity Bring Liberty? Critical Review 11 (3):393-406.
H. M. Malm (1989). Commodification or Compensation: A Reply to Ketchum. Hypatia 4 (3):128 - 135.
Edwina L. Rissland, David B. Skalak & M. Timur Friedman (1996). BankXX: Supporting Legal Arguments Through Heuristic Retrieval. [REVIEW] Artificial Intelligence and Law 4 (1):1-71.
Thomas F. Gordon (1995). The Pleadings Games: An Artificial Intelligence Model of Procedural Justice. Springer.
Mingqiang Xu, Kaoru Hirota & Hajime Yoshino (1999). A Fuzzy Theoretical Approach to Case-Based Representation and Inference in CISG. Artificial Intelligence and Law 7 (2-3):259-272.
Added to index2010-12-22
Total downloads3 ( #340,583 of 1,679,360 )
Recent downloads (6 months)1 ( #183,761 of 1,679,360 )
How can I increase my downloads?