" In the generations since, its influence has grown-today it is accepted as a classic of general jurisprudence.The work is a bold and persuasive attack on the ...

Law and legal reasoning are a natural target for artificial intelligence systems. Like medical diagnosis and other tasks for expert systems, legal analysis is a matter of interpreting data in terms of higher-level concepts. But in law the data are more like those for a system aimed at understanding natural language: they tell a story about human events that may lead to a lawsuit. Statements of the law, too, are written in natural language and legal arguments are often arguments about (...) what that language means or ought to mean.This study is one of the few research efforts in this fertile area. It is unique in developing a computational model for analyzing legal problems in a way that brings these strands of AI research together and makes sense from a jurisprudential perspective as well.Gardner first analyzes several positions in Anglo-American jurisprudence and their relevance for work in artificial intelligence. She identifies aspects of legal reasoning that any truly expert system in law must make a place for and suggests a way of decomposing the process of legal analysis that takes these aspects into account. She compares the resulting framework with those used by other legal analysis programs. A solid exposition of current AI techniques follows in chapters covering the author's system (written in Maclisp) for offer and acceptance problems, taken from law examinations, involved in contract law.Anne von der Lieth Gardner has a law degree and a Ph.D. in computer science, both from Stanford University. An Artificial Intelligence Approach to Legal Reasoning inaugurates the series Artificial Intelligence and the Law: Processes and Models of Legal Reasoning, edited by L. Thorne McCarty and Edwina L. Rissland. A Bradford Book. (shrink)

Reasoners compare problems to prior cases to draw conclusions about a problem and guide decision making. All Case-Based Reasoning (CBR) employs some methods for generalizing from cases to support indexing and relevance assessment and evidences two basic inference methods: constraining search by tracing a solution from a past case or evaluating a case by comparing it to past cases. Across domains and tasks, however, humans reason with cases in subtly different ways evidencing different mixes of and mechanisms for these components.In (...) recent CBR research in Artificial Intelligence (AI), five paradigmatic approaches have emerged: statistically-oriented, model-based, planning/design-oriented, exemplar-based, and adversarial or precedent-based. The paradigms differ in the assumptions they make about domain models, the extent to which they support symbolic case comparison, and the kinds of inferences for which they employ cases. (shrink)

Investigates the application of logic to problem solving and computer programming. Requires no previous knowledge in this field, and therefore can be used as an introduction to logic, the theory of problem-solving and computer programming. Annotation copyrighted by Book News, Inc., Portland, OR.

Steven Burton's AN INTRODUCTION TO LAW AND LEGAL REASONING, Second Edition continues to be an ideal learning tool for first-year law students in a variety of introductory courses including orientation programs, legal reasoning, lawyering skills, or first-year substantive courses. Written specifically for beginning law students, this concise paperback helps students gain an understanding of law and legal reasoning by emphasizing how they can use cases, rules, precedent, holding, and other elementary legal concepts to solve legal problems. Especially easy to use, (...) The Second Edition: offers concise, lucid text gives more attention to competing, contemporary modes of analysis including Critical Legal Studies and philosophical critiques clearly delineates the structure of law as precedents, rules, principles, and policies introduces many new examples coherently organized in nine chapters, INTRODUCTION TO LAW AND LEGAL REASONING covers cases and rules, analogical and deductive legal reasoning, legal reasons and conventions, purposes, judges' and lawyers' perspectives, and legitimacy. short and affordable, this book is a good fit for orientation programs, introductory courses on legal reasoning or legal method, lawyering skills courses, or as a supplementary text in any first-year substantive course. (shrink)