Argues that the use of argumentation tools and methods requires a new approach to their applications in diverse settings
Presents a synthesis of complex work on AI with applications of argumentation structures to real examples
Illustrates how evidence is used in pro and contra ways in everyday argumentation
Is written in a clear and simple way that will appeal to experts and non-experts
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.
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.
"The book is an easy-to-follow manuillegalscript, employing simple and clear language suitable for both experts and nonexperts. ... It is a good resource for those practitioners interested in the explanations of knowledge and conflicting evidence occurring in domains such as public safety, health, debate, science education, and legal argumentation.” (Luca Longo, Computing Reviews, February, 2016)
This monograph poses a series of key problems of evidential reasoning and argumentation. 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.
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 expertopinion evidence in personal and public deliberations.
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.
"The book is an easy-to-follow manuillegalscript, employing simple and clear language suitable for both experts and nonexperts. ... It is a good resource for those practitioners interested in the explanations of knowledge and conflicting evidence occurring in domains such as public safety, health, debate, science education, and legal argumentation." (Luca Longo, Computing Reviews, February, 2016)
Inhaltsverzeichnis
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.
Klappentext
¿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 expertopinion evidence in personal and public deliberations.
Argues that the use of argumentation tools and methods requires a new approach to their applications in diverse settings
Presents a synthesis of complex work on AI with applications of argumentation structures to real examples
Illustrates how evidence is used in pro and contra ways in everyday argumentation
Is written in a clear and simple way that will appeal to experts and non-experts
