A Hybrid Intelligent System Approach To Legal Reasoning
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A Hybrid Intelligent System Approach To Legal Reasoning
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Author : Pooja Raundale
language : en
Publisher: Mha Publisher
Release Date : 2023-09-23
A Hybrid Intelligent System Approach To Legal Reasoning written by Pooja Raundale and has been published by Mha Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-23 with categories.
Many legal expert systems are dependent on the concept of complex models. They are implemented using these complex models of legal reasoning. The legal expert systems are useful only if they are used by the users. The users of the expert systems are mainly common men, lawyers or any other person who is studying law. The usability of the Expert System predominantly depends on the quality factor of the system. A complex model of legal reasoning is not necessary; a successful legal expert system can be based upon a simplified model of legal reasoning. A useful legal expert system should be capable of producing advice similar to a lawyer, so it should operate at the same way as a lawyer works in his area. A legal expert system called NIRNAY has been developed to demonstrate that a useful legal expert system can be based upon a pragmatic approach to the law. NIRNAY is a Hybrid Intelligent System which uses two methods of reasoning to give the advice to the user of the system. NIRNAY has an Application layer above the two modules. These modules are Case Based Reasoner module and Rule Based Reasoner module. The rule base and case base are used for representation of knowledge about the domain. NIRNAY is a hybrid intelligent system in the sense that its advice is based upon the two methods of reasoning; it uses the Rule Based Reasoning and Case Based Reasoning to produce the advice. The first module i.e. RBR module checks the validity of the contract and the argument is produced by the CBR module for Breach of Building Contract, an argument, about the similarities and differences between cases. NIRNAY tries to use the way in which lawyers argue with cases. It also attempts to use the way in which lawyers decide which cases to use in the arguments. It makes use of 'similarity measure' to find the similarity between the cases. It decides which cases to use in argument, and what prediction it will make, on the basis of that similarity measure. NIRNAY is tested for both the modules and it indicates that it is exceptionally good at predicting results, and fairly good at choosing cases with which to construct its arguments. NIRNAY demonstrates the viability of a pragmatic approach to legal expert system design.
An Artificial Intelligence Approach To Legal Reasoning
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Author : Anne von der Lieth Gardner
language : en
Publisher: Bradford Books
Release Date : 1987-01
An Artificial Intelligence Approach To Legal Reasoning written by Anne von der Lieth Gardner and has been published by Bradford Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-01 with Computers categories.
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.
Automation Of Legal Reasoning
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Author : P. Wahlgren
language : en
Publisher: Springer
Release Date : 1992-10-07
Automation Of Legal Reasoning written by P. Wahlgren and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-10-07 with Computers categories.
This book provides an analysis of the development which has lead up to the formation of a joint field of artificial intelligence and law. It discusses the basic foundations and also addresses the future prospects of the discipline. The author formulates a design approach for advanced Artificial Intelligence systems for law, and concludes with a discussion about the potentialities and the consequences of future development.
A Pragmatic Legal Expert System
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Author : James Popple
language : en
Publisher: Dartmouth (Ashgate)
Release Date : 1996-05-21
A Pragmatic Legal Expert System written by James Popple and has been published by Dartmouth (Ashgate) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-05-21 with Law categories.
Most legal expert systems attempt to implement complex models of legal reasoning. This book argues that a complex model is unnecessary. It advocates a simpler, pragmatic approach in which the utility of a legal expert system is evaluated by reference, not to the extent to which it simulates a lawyer's approach to a legal problem, but to the quality of its predictions and of its arguments. The author describes the development of a legal expert system, called SHYSTER, which takes a pragmatic approach to case law. He discusses the testing of SHYSTER in four different and disparate areas of case law, and draws conclusions about the advantages and limitations of this approach to legal expert system development. Chapter 1 presents a critical analysis of previous work of relevance to the development of legal expert systems. Chapter 2 explains the pragmatic approach that was adopted in the development of SHYSTER. The implementation of SHYSTER is detailed using examples in chapter 3. Chapter 4 describes the testing of SHYSTER, and conclusions are drawn from those tests in chapter 5. Examples of SHYSTER's output are provided in appendices.
Mind Machine And Metaphor
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Author : Alexander E. Silverman
language : en
Publisher: Routledge
Release Date : 2019-03-08
Mind Machine And Metaphor written by Alexander E. Silverman and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-08 with Social Science categories.
Mind, Machine, and Metaphor is a rich, original, and wide-ranging view of legal theory in the context of artificial intelligence (AI) research. It is essential reading for legal theorists and for legal scholars and students of AI with an interest in each other's fields.
Scientific Models Of Legal Reasoning
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Author : Scott Brewer
language : en
Publisher: Routledge
Release Date : 2013-10-28
Scientific Models Of Legal Reasoning written by Scott Brewer and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-28 with Philosophy categories.
First published in 1998. This five-volume series contains some of this century's most influential or thought provoking articles on the subject of legal argument that have appeared in Anglo-American philosophy journals and law reviews. This volume offers a collection of essays by philosophers and legal scholars on economics, artificial intelligence and the physical sciences.
Design And Application Of Hybrid Intelligent Systems
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Author : Ajith Abraham
language : en
Publisher:
Release Date : 2003
Design And Application Of Hybrid Intelligent Systems written by Ajith Abraham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Hybrid computers categories.
An Artificial Intelligence Approach To Legal Reasoning
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Author : Anne von der Lieth Gardner
language : en
Publisher:
Release Date : 1984
An Artificial Intelligence Approach To Legal Reasoning written by Anne von der Lieth Gardner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Artificial intelligence categories.
Hybrid Intelligent Systems
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Author : Larry R. Medsker
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Hybrid Intelligent Systems written by Larry R. Medsker and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Hybrid Intelligent Systems summarizes the strengths and weaknesses of five intelligent technologies: fuzzy logic, genetic algorithms, case-based reasoning, neural networks and expert systems, reviewing the status and significance of research into their integration. Engineering and scientific examples and case studies are used to illustrate principles and application development techniques. The reader will gain a clear idea of the current status of hybrid intelligent systems and discover how to choose and develop appropriate applications. The book is based on a thorough literature search of recent publications on research and development in hybrid intelligent systems; the resulting 50-page reference section of the book is invaluable. The book starts with a summary of the five major intelligent technologies and of the issues in and current status of research into them. Each subsequent chapter presents a detailed discussion of a different combination of intelligent technologies, along with examples and case studies. Four chapters contain detailed case studies of working hybrid systems. The book enables the reader to: Describe the important concepts, strengths and limitations of each technology; Recognize and analyze potential problems with the application of hybrid systems; Choose appropriate hybrid intelligent solutions; Understand how applications are designed with any of the approaches covered; Choose appropriate commercial development shells or tools. An invaluable reference source for those who wish to apply intelligent systems techniques to their own problems.
Reasoning With Rules And Precedents
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Author : L. Karl Branting
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Reasoning With Rules And Precedents written by L. Karl Branting and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Computers categories.
Few areas of human expertise are so well understood that they can be completely reduced to general principles. Similarly, there are few domains in which experience is so extensive that every new problem precisely matches a previous problem whose solution is known. When neither rules nor examples are individually sufficient, problem-solving expertise depends on integrating both. This book presents a computational framework for the integration of rules and cases for analytic tasks typified by legal analysis. The book uses the framework for integrating cases and rules as a basis for a new model of legal precedents. This model explains how the theory under which a case is decided controls the case's precedential effect. The framework for integrating rules and cases is implemented in GREBE, a system for legal analysis. The book presents techniques for representing, indexing, and comparing complex cases and for converting justification structures based on rules and case into natural-language text. This book will interest researchers in artificial intelligence, particularly those involved in case-based reasoning, artificial intelligence and law, and formal models of argumentation, and to scholars in legal philosophy, jurisprudence, and analogical reasoning.