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In this book, Georgios N. Yannopoulos appropriately relates the developing field of knowledge based systems in law with the basis in classic philosophy, explicating relations which too often are not properly understood. The decision model developed by the author is important, as it integrates and explains arguments which often have been seen as imcompatible. The use of the theoretical foundation in describing and in giving a critical analysis of the construction of real knowledge bases systems becomes therefore very valuable.and’ Jon Bing, Norwegian Research Center for Computers and Law and‘Expert systems in law have not been as easily achieved as was originally envisaged, because too many thought the task to be trivial and ignored the complex issues involved. Yannopoulosand’ work is valuable because he attempts to detail these issues and overcome them.and’ Philip Leith, Queenand’s University of Belfast and‘Yannopoulosand’ book addresses some of the most crucial problems in the field of information technology and law. The development of more advanced IT solutions for the legal sector will always be closely related to our ability to model and understand the legal reasoning process. In his analysis Yannopoulos elegantly integrates knowledge from many different areas, and in this respect the book reflects an all too seldom seen broadness.and’ Pete Wahlgren, The Swedish Law and Informatics Research Institute (IRI) and‘There has been an abundance of recent research on developing intelligent support systems. Dr Yannopoulosand’ work is especially significant because it examines the necessary legal background for building such systems. It will be an essential reference for the prospective builders of intelligent legal support systems.and’ John Zeleznikow, La Trobe University, Bundoora, Australia
The gap between information technology and the legal profession is narrowing, in particular due to the Internet and the richness of legal sources that can be found online. This book further bridges the gap by showing people with a legal background what is possible with Information Technology now and in the near future, as well as by showing people with an IT background what opportunities exist in the domain of law.
The papers in this volume are the refereed papers presented at AI-2010, the Thirtieth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2010 in both the technical and the application streams. They present new and innovative developments and applications, divided into technical stream sections on Intelligent Agents; Knowledge Discovery and Data Mining; Evolutionary Algorithms, Bayesian Networks and Model-Based Diagnosis; Machine Learning; Planning and Scheduling, followed by application stream sections on Applications of Machine Learning I and II; AI for Scheduling and AI in Action. The volume also includes the text of short papers presented as posters at the conference. This is the twenty-seventh volume in the Research and Development in Intelligent Systems series, which also incorporates the eighteenth volume in the Applications and Innovations in Intelligent Systems series. These series are essential reading for those who wish to keep up to date with developments in this important field.
The judiciary is in the early stages of a transformation in which AI (Artificial Intelligence) technology will help to make the judicial process faster, cheaper, and more predictable without compromising the integrity of judges' discretionary reasoning. Judicial decision-making is an area of daunting complexity, where highly sophisticated legal expertise merges with cognitive and emotional competence. How can AI contribute to a process that encompasses such a wide range of knowledge, judgment, and experience? Rather than aiming at the impossible dream (or nightmare) of building an automatic judge, AI research has had two more practical goals: producing tools to support judicial activities, including programs for intelligent document assembly, case retrieval, and support for discretionary decision-making; and developing new analytical tools for understanding and modeling the judicial process, such as case-based reasoning and formal models of dialectics, argumentation, and negotiation. Judges, squeezed between tightening budgets and increasing demands for justice, are desperately trying to maintain the quality of their decision-making process while coping with time and resource limitations. Flexible AI tools for decision support may promote uniformity and efficiency in judicial practice, while supporting rational judicial discretion. Similarly, AI may promote flexibility, efficiency and accuracy in other judicial tasks, such as drafting various judicial documents. The contributions in this volume exemplify some of the directions that the AI transformation of the judiciary will take.
The information age has enabled unprecedented levels of data to be collected and stored. At the same time, society and organizations have become increasingly complex. Consequently, decisions in many facets have become increasingly complex but have the potential to be better informed. Technologies for Supporting Reasoning Communities and Collaborative Decision Making: Cooperative Approaches includes chapters from diverse fields of enquiry including decision science, political science, argumentation, knowledge management, cognitive psychology and business intelligence. Each chapter illustrates a perspective on group reasoning that ultimately aims to lead to a greater understanding of reasoning communities and inform technological developments.
Informatics for Health Professionals is an excellent resource to provide healthcare students and professionals with the foundational knowledge to integrate informatics principles into practice.
This is an open access book. The 2nd International Conference on Public Management and Intelligent Society (PMIS 2022) was held on March 18-20, 2022 in Xishuangbanna, China. The aim of the conference is to bring together innovative academics and industrial experts in the field of Public Management and Intelligent Society to a common forum. The primary goal of the conference is to promote research and developmental activities in Public Management and Intelligent Society and another goal is to promote scientific information interchange between researchers, developers, students, and practitioners working all around the world.
In The Uses of Argument (1958), Stephen Toulmin proposed a model for the layout of arguments: claim, data, warrant, qualifier, rebuttal, backing. Since then, Toulmin’s model has been appropriated, adapted and extended by researchers in speech communications, philosophy and artificial intelligence. This book assembles the best contemporary reflection in these fields, extending or challenging Toulmin’s ideas in ways that make fresh contributions to the theory of analysing and evaluating arguments.