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In the late 1990s, AI witnessed an increasing use of the term 'argumentation' within its bounds: in natural language processing, in user interface design, in logic programming and nonmonotonic reasoning, in Al's interface with the legal community, and in the newly emerging field of multi-agent systems. It seemed to me that many of these uses of argumentation were inspired by (of ten inspired) guesswork, and that a great majority of the AI community were unaware that there was a maturing, rich field of research in Argumentation Theory (and Critical Thinking and Informal Logic) that had been steadily re building a scholarly approach to the area over the previous twenty years or so. Argumentation Theory, on its side; was developing theories and approaches that many in the field felt could have a role more widely in research and soci ety, but were for the most part unaware that AI was one of the best candidates for such application.
In the late 1990s, AI witnessed an increasing use of the term 'argumentation' within its bounds: in natural language processing, in user interface design, in logic programming and nonmonotonic reasoning, in Al's interface with the legal community, and in the newly emerging field of multi-agent systems. It seemed to me that many of these uses of argumentation were inspired by (of ten inspired) guesswork, and that a great majority of the AI community were unaware that there was a maturing, rich field of research in Argumentation Theory (and Critical Thinking and Informal Logic) that had been steadily re building a scholarly approach to the area over the previous twenty years or so. Argumentation Theory, on its side; was developing theories and approaches that many in the field felt could have a role more widely in research and soci ety, but were for the most part unaware that AI was one of the best candidates for such application.
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.
Besides familiar and now-commonplace tasks that computers do all the time, what else are they capable of? Stephen Ramsay's intriguing study of computational text analysis examines how computers can be used as "reading machines" to open up entirely new possibilities for literary critics. Computer-based text analysis has been employed for the past several decades as a way of searching, collating, and indexing texts. Despite this, the digital revolution has not penetrated the core activity of literary studies: interpretive analysis of written texts. Computers can handle vast amounts of data, allowing for the comparison of texts in ways that were previously too overwhelming for individuals, but they may also assist in enhancing the entirely necessary role of subjectivity in critical interpretation. Reading Machines discusses the importance of this new form of text analysis conducted with the assistance of computers. Ramsay suggests that the rigidity of computation can be enlisted in the project of intuition, subjectivity, and play.
This volume contains the papers presented at the Third International Conference on Scalable Uncertainty Management, SUM 2009, in Washington, DC, September 28-30, 2009. It contains 21 technical papers which were selected out of 30 submitted papers in a rigourous reviewing process. The volume also contains extended abstracts of two invited talks. The volume reflects the growing interest in uncertainty and incosistency and aims at bringing together all those interested in the management of uncertainty and inconsistency at large.
There are many hypotheses describing the interactions involved in biological invasions, but it is largely unknown whether they are backed up by empirical evidence. This book fills that gap by developing a tool for assessing research hypotheses and applying it to twelve invasion hypotheses, using the hierarchy-of-hypotheses (HoH) approach, and mapping the connections between theory and evidence. In Part 1, an overview chapter of invasion biology is followed by an introduction to the HoH approach and short chapters by science theorists and philosophers who comment on the approach. Part 2 outlines the invasion hypotheses and their interrelationships. These include biotic resistance and island susceptibility hypotheses, disturbance hypothesis, invasional meltdown hypothesis, enemy release hypothesis, evolution of increased competitive ability and shifting defence hypotheses, tens rule, phenotypic plasticity hypothesis, Darwin's naturalization and limiting similarity hypotheses and the propagule pressure hypothesis. Part 3 provides a synthesis and suggests future directions for invasion research.
The advantages of discussing topics in conference are many: they bring together individuals from around the world with a common interest, and the attempts to attack a standard test case in different ways highlights the similarities and differences among the methodologies employed. Discussion of these results helps the various approaches to converge, leading to some consensus. These consensus views benefit practitioners who are involved in designing information systems. The proceedings contained herein include a number of feature analyses of the methodologies included in the first proceedings, from the 1982 conference.
This book is the result of the cooperation between Cambridge Scholars Press and the Centre for Applied Linguistics of the Ministry of Science, Technology and the Environment of Santiago de Cuba. The present volume is a peer-reviewed selection from the papers written in English that were presented at the 9th International Symposium on Social Communication (Santiago de Cuba, January 24-28, 2005). The symposia are held by the Santiago-based institution every two years. Since their inception in 1987, these meetings have provided an excellent opportunity for scientific exchange among scholars from all continents, through the presentation of papers, keynote speeches, and workshops focusing on the most current and recent results of linguistics and other related disciplines that are also invited to the event. This volume includes 34 papers subdivided in eight sections: General Linguistics (8), Phonetics (5), Lexicology (3), Corpus Linguistics (2), Natural Language Processing (9), Foreign Languages (3), Mass Media (2) and Art, Ethnology and Folklore (2). These articles provide an excellent overview of the current state of research from around the world. Scholars came from Australia, Austria, Belgium, Canada, China, Cuba, Spain, United States, France, Greek, Holland, Hungary, Italy, Japan, Malaysia, Mexico, New Zealand, Portugal and the United Kingdom. It is important to highlight the presence in this book of papers by some of the worldâ (TM)s leading researchers in linguistics, including Prof. Dr. Anton Nijholt, from Twente University, Enschede, The Netherlands; Prof. Dr. Nicoletta Calzolari, director of the prestigious Institute of Computational Linguistics of Pisa, Italy; Prof. Dr. Michael Zock, from the Scientific Research Center of France; Prof. Dr. Dieter Fensel, from the Digital Enterprise Research Institute of Leopold-Franzens University, Innsbruck, Austria; Prof Dr. Gloria Corpas Pastor from the University of Malaga, Spain; and the doctors Iñaki Alegria, Xabier Arregi and Xabier Artola, from the IXA Group of the Basque Country University.