Theory and Applications of Formal Argumentation

Theory and Applications of Formal Argumentation

Author: Sanjay Modgil

Publisher: Springer

Published: 2012-03-26

Total Pages: 290

ISBN-13: 3642291848

DOWNLOAD EBOOK

This book constitutes the thoroughly refereed proceedings of the First International Workshop on the Theory and Applications of Formal Argumentation, TAFA 2011, held in Barcelona, Spain, in Juli 2011, as a workshop at IJCAI 2011, the 22nd International Joint Conference on Artificial Intelligence. The 9 revised full papers presented together with 8 revised poster papers were carefully selected during two rounds of reviewing and improvement from 32 initial submissions. The workshop promotes and fosters uptake of argumentation as a viable AI paradigm with wide ranging application, and provides a forum for further development of ideas and the initiation of new and innovative collaborations. The papers cover the following topics: properties of formal models of argumentation; instantiations of abstract argumentation frameworks; relationships among different argumentation frameworks; practical applications of formal models of argumentation; argumentation and other artificial intelligence techniques; evaluation of formal models of argumentation; validation and evaluation of applications of argumentation.


Theory and Applications of Formal Argumentation

Theory and Applications of Formal Argumentation

Author: Elizabeth Black

Publisher: Springer

Published: 2018-03-05

Total Pages: 237

ISBN-13: 3319755536

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 4th International Workshop on the Theory and Applications of Formal Argumentation, TAFA 2017, held in Melbourne, VIC, Australia, in August 2017. The workshop was co-located with International Joint Conference on Artifi cial Intelligence(IJCAI 2017). The 15 revised full papers presented were carefully reviewed and selected from 20 submissions. The workshops covers the subjects such as non-monotonic reasoning, decision making, inter-agent communication, the semantic web, grid applications, ontologies, recommender systems, machine learning, neural networks, trust computing, normative systems, social choice theory, judgement aggregation and game theory, and law and medicine.


Computational Models of Argument

Computational Models of Argument

Author: H. Prakken

Publisher: IOS Press

Published: 2020-09-25

Total Pages: 498

ISBN-13: 1643681079

DOWNLOAD EBOOK

The investigation of computational models of argument is a rich and fascinating interdisciplinary research field with two ultimate aims: the theoretical goal of understanding argumentation as a cognitive phenomenon by modeling it in computer programs, and the practical goal of supporting the development of computer-based systems able to engage in argumentation-related activities with human users or among themselves. The biennial International Conferences on Computational Models of Argument (COMMA) provide a dedicated forum for the presentation and discussion of the latest advancements in the field, and cover both basic research and innovative applications. This book presents the proceedings of COMMA 2020. Due to the Covid-19 pandemic, COMMA 2020 was held as an online event on the originally scheduled dates of 8 -11 September 2020, organised by the University of Perugia, Italy. The book includes 28 full papers and 13 short papers selected from a total of 78 submissions, the abstracts of 3 invited talks and 13 demonstration abstracts. The interdisciplinary nature of the field is reflected, and contributions cover both theory and practice. Theoretical contributions include new formal models, the study of formal or computational properties of models, designs for implemented systems and experimental research. Practical papers include applications to medicine, law and criminal investigation, chatbots and online product reviews. The argument-mining trend from previous COMMA’s is continued, while an emerging trend this year is the use of argumentation for explainable AI. The book provided an overview of the latest work on computational models of argument, and will be of interest to all those working in the field.


Argumentation in Artificial Intelligence

Argumentation in Artificial Intelligence

Author: Iyad Rahwan

Publisher: Springer Science & Business Media

Published: 2009-06-13

Total Pages: 496

ISBN-13: 0387981977

DOWNLOAD EBOOK

Argumentation is all around us. Letters to the Editor often make points of cons- tency, and “Why” is one of the most frequent questions in language, asking for r- sons behind behaviour. And argumentation is more than ‘reasoning’ in the recesses of single minds, since it crucially involves interaction. It cements the coordinated social behaviour that has allowed us, in small bands of not particularly physically impressive primates, to dominate the planet, from the mammoth hunt all the way up to organized science. This volume puts argumentation on the map in the eld of Arti cial Intelligence. This theme has been coming for a while, and some famous pioneers are chapter authors, but we can now see a broader systematic area emerging in the sum of topics and results. As a logician, I nd this intriguing, since I see AI as ‘logic continued by other means’, reminding us of broader views of what my discipline is about. Logic arose originally out of re ection on many-agent practices of disputation, in Greek Ant- uity, but also in India and China. And logicians like me would like to return to this broader agenda of rational agency and intelligent interaction. Of course, Aristotle also gave us a formal systems methodology that deeply in uenced the eld, and eventually connected up happily with mathematical proof and foundations.


Computational Models of Argument

Computational Models of Argument

Author: B. Verheij

Publisher: IOS Press

Published: 2012-09-04

Total Pages: 536

ISBN-13: 1614991111

DOWNLOAD EBOOK

The subject of argumentation has been studied since ancient times, but it has seen major innovations since the advent of the computer age. Software already exists which can create and evaluate arguments in high-stake situations, such as medical diagnosis and criminal investigation; formal systems can help us appreciate the role of the value judgments which underlie opposing positions; and it is even possible to enter into argumentative dialogues as if playing a computer game. This book presents the 28 full papers, 17 short papers and a number of system demonstrations, described in an extended abstract, from the 2012 biennial Computational Models of Argument (COMMA) conference, held in Vienna, Austria. Papers by the invited speakers Professor Trevor Bench-Capon, Professor Erik Krabbe and Professor Keith Stenning are also included. This year, for the first time, COMMA invited the submission of papers for an innovative applications track, and those which were accepted for presentation are included in this volume. Argumentation can be studied from many angles, including the artificial, natural and theoretical systems perspective. Presentations at the 2012 conference addressed the subject from these perspectives and many more.


Dialogue, Argumentation and Education

Dialogue, Argumentation and Education

Author: Baruch B. Schwarz

Publisher: Cambridge University Press

Published: 2017

Total Pages: 317

ISBN-13: 1107141818

DOWNLOAD EBOOK

This book presents the historical, theoretical and empirical foundations of educational practices involving dialogue and argumentation.


Legal Knowledge and Information Systems

Legal Knowledge and Information Systems

Author: S. Villata

Publisher: IOS Press

Published: 2020-12-07

Total Pages: 304

ISBN-13: 1643681516

DOWNLOAD EBOOK

The field of legal knowledge and information systems has traditionally been concerned with the subjects of legal knowledge representation and engineering, computational models of legal reasoning, and the analysis of legal data, but recent years have also seen an increasing interest in the application of machine learning methods to ease and empower the everyday activities of legal experts. This book presents the proceedings of the 33rd International Conference on Legal Knowledge and Information Systems (JURIX 2020), organised this year as a virtual event on 9–11 December 2020 due to restrictions resulting from the Covid-19 pandemic. For more than three decades, the annual JURIX international conference, which now also includes demo papers, has provided a platform for academics and practitioners to exchange knowledge about theoretical research and applications in concrete legal use cases. A total of 85 submissions by 255 authors from 28 countries were received for the conference, and after a rigorous review process, 20 were selected for publication as full papers, 14 as short papers, and 5 as demo papers. This selection process resulted in a total acceptance rate of 40% (full and short papers) and a competitive 23.5% acceptance rate for full papers. Topics span from computational models of legal argumentation, case-based reasoning, legal ontologies, smart contracts, privacy management and evidential reasoning to information extraction from different types of text in legal documents, and ethical dilemmas. Providing a state-of-the-art overview of developments in the field, this book will be of interest to all those working with legal knowledge and information systems.


Handbook of Argumentation Theory

Handbook of Argumentation Theory

Author: Frans H. van Eemeren

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2019-11-05

Total Pages: 344

ISBN-13: 3110846098

DOWNLOAD EBOOK

No detailed description available for "Handbook of Argumentation Theory".


Witness Testimony Evidence

Witness Testimony Evidence

Author: Douglas Walton

Publisher: Cambridge University Press

Published: 2007-11-19

Total Pages: 15

ISBN-13: 1139468804

DOWNLOAD EBOOK

Recent work in artificial intelligence has increasingly turned to argumentation as a rich, interdisciplinary area of research that can provide new methods related to evidence and reasoning in the area of law. Douglas Walton provides an introduction to basic concepts, tools and methods in argumentation theory and artificial intelligence as applied to the analysis and evaluation of witness testimony. He shows how witness testimony is by its nature inherently fallible and sometimes subject to disastrous failures. At the same time such testimony can provide evidence that is not only necessary but inherently reasonable for logically guiding legal experts to accept or reject a claim. Walton shows how to overcome the traditional disdain for witness testimony as a type of evidence shown by logical positivists, and the views of trial sceptics who doubt that trial rules deal with witness testimony in a way that yields a rational decision-making process.