Law, governance and technology series. 2352-1902 ; 23.
This monograph poses a series of key problems of evidential reasoning and argumentation. It then offers solutions achieved by applying recently developed computational models of argumentation made available in artificial intelligence. Each problem is posed in such a way that the solution is easily understood. The book progresses from confronting these problems and offering solutions to them, building a useful general method for evaluating arguments along the way. It provides a hands-on survey explaining to the reader how to use current argumentation methods and concepts that are increasingly being implemented in more precise ways for the application of software tools in computational argumentation systems. It shows how the use of these tools and methods requires a new approach to the concepts of knowledge and explanation suitable for diverse settings, such as issues of public safety and health, debate, legal argumentation, forensic evidence, science education, and the use of expert opinion evidence in personal and public deliberations.
Formatted Contents Note
Acknowledgments Chapter 1: Introduction to Argument and Explanation Chapter 2: Inference to the Best Explanation Chapter 3: A Dialogue System for Evaluating Explanations Chapter 4: Evaluating Expert Opinion Evidence Chapter 5: Attribution of a Painting to Leonardo da Vinci Chapter 6: Argument from Correlation to Causation Chapter 7: Knowledge and Inquiry Chapter 8: Evidence and Argument Evaluation.- index.
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