Alternative dispute resolution has now supplanted litigation as the principal method of dispute resolution. This overview of dispute resolution addresses practical developments in areas such as family law, plea bargaining, industrial relations and torts. The authors elaborate on the necessary legal safeguards that should be taken into account when developing technology-enhanced dispute resolution and explore a wide range of potential applications for new information technologies in dispute resolution.
This book brings together the expertise of two authors involved in initiating the development of Online Family Dispute Resolution (OFDR), while also examining the unique Australian system. The family arena generally comprises property or child-related disputes arising between parents, whether married or not, and whether the parties have lived together or not. A special feature of Australia’s OFDR system is that it deals with children’s issues rather than focusing on property distribution. The book first discusses how technological innovations have transformed dispute resolution services to families. It explores the need for OFDR and how such systems can potentially be implemented. In turn, the coverage shifts to screening tools used prior to a Family Dispute Resolution session to ensure that online systems are appropriate for the case under dispute and the people involved. Readers will then learn about the necessary training required – for administrators, practitioners and clients alike - for OFDR to be successful. In addition, the book offers a comprehensive evaluation of the system and reflects on the lessons learned to date. In closing, it suggests ways in which OFDR could be further developed and applied to family disputes around the world.
Knowledge Discovery from Legal Databases is the first text to describe data mining techniques as they apply to law. Law students, legal academics and applied information technology specialists are guided thorough all phases of the knowledge discovery from databases process with clear explanations of numerous data mining algorithms including rule induction, neural networks and association rules. Throughout the text, assumptions that make data mining in law quite different to mining other data are made explicit. Issues such as the selection of commonplace cases, the use of discretion as a form of open texture, transformation using argumentation concepts and evaluation and deployment approaches are discussed at length.
Knowledge Discovery from Legal Databases is the first text to describe data mining techniques as they apply to law. Law students, legal academics and applied information technology specialists are guided thorough all phases of the knowledge discovery from databases process with clear explanations of numerous data mining algorithms including rule induction, neural networks and association rules. Throughout the text, assumptions that make data mining in law quite different to mining other data are made explicit. Issues such as the selection of commonplace cases, the use of discretion as a form of open texture, transformation using argumentation concepts and evaluation and deployment approaches are discussed at length.
This book brings together the expertise of two authors involved in initiating the development of Online Family Dispute Resolution (OFDR), while also examining the unique Australian system. The family arena generally comprises property or child-related disputes arising between parents, whether married or not, and whether the parties have lived together or not. A special feature of Australia’s OFDR system is that it deals with children’s issues rather than focusing on property distribution. The book first discusses how technological innovations have transformed dispute resolution services to families. It explores the need for OFDR and how such systems can potentially be implemented. In turn, the coverage shifts to screening tools used prior to a Family Dispute Resolution session to ensure that online systems are appropriate for the case under dispute and the people involved. Readers will then learn about the necessary training required – for administrators, practitioners and clients alike - for OFDR to be successful. In addition, the book offers a comprehensive evaluation of the system and reflects on the lessons learned to date. In closing, it suggests ways in which OFDR could be further developed and applied to family disputes around the world.
Alternative dispute resolution has now supplanted litigation as the principal method of dispute resolution. This overview of dispute resolution addresses practical developments in areas such as family law, plea bargaining, industrial relations and torts. The authors elaborate on the necessary legal safeguards that should be taken into account when developing technology-enhanced dispute resolution and explore a wide range of potential applications for new information technologies in dispute resolution.
Location Based Services (LBS) are information systems which collect or deliver information based on a user's location. Such services require a wireless network provider, a mobile device, positioning determining technology and a GIS provider. While such services include the use of notebooks, PC tablets and wearable computers, for the purpose of this study we have focused on applications which collect information from or deliver information to light, highly mobile small screen devices such as PDAs (Personal Digital Assistants) and smart phones. This publication is also available for free download at www.crctourism.com.au
This book constitutes the refereed proceedings of the 10th Australian Joint Conference on Artificial Intelligence, AI'97, held in Perth, Australia, in November/December 1997. The volume presents 48 revised full papers selected from a total of 143 submissions. Also included are three keynote talks and one invited paper. The book is divided into topical sections on constraint satisfaction and scheduling, computer vision, distributed AI, evolutionary computing, knowledge-based systems, knowledge representation and reasoning, learning and machine vision, machine learning, NLP and user modeling, neural networks, robotics and machine recognition, and temporal qualitative reasoning.
This sparkling Handbook offers an unrivalled resource for those engaged in the cutting edge field of social network analysis. Systematically, it introduces readers to the key concepts, substantive topics, central methods and prime debates. Among the specific areas covered are: Network theory Interdisciplinary applications Online networks Corporate networks Lobbying networks Deviant networks Measuring devices Key Methodologies Software applications. The result is a peerless resource for teachers and students which offers a critical survey of the origins, basic issues and major debates. The Handbook provides a one-stop guide that will be used by readers for decades to come.
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