Koslowski boldly criticizes many of the currently classic studies and musters a compelling set of arguments, backed by an exhaustive set of experiments carried out during the last decade.

Current practice in logic increasingly accords recognition to abductive, presumptive or plausible arguments, in addition to deductive and inductive arguments. But there is uncertainty about what these terms exactly mean, what the differences between them are (if any), and how they relate. By examining some analyses ofthese terms and some of the history of the subject (including the views of Peirce and Cameades), this paper sets out considerations leading to a set of definitions, discusses the relationship of these three forms (...) of argument to argumentation schemes and sets out a new argumentation scheme for abductive argument. (shrink)

In informal terms, abductive reasoning involves inferring the best or most plausible explanation from a given set of facts or data. It is a common occurrence in everyday life and crops up in such diverse places as medical diagnosis, scientific theory formation, accident investigation, language understanding, and jury deliberation. In recent years, it has become a popular and fruitful topic in artificial intelligence research. This volume breaks new ground in the scientific, philosophical, and technological study of abduction. It presents new (...) ideas about inferential and information-processing foundations for knowledge and certainty. The authors argue that knowledge arises from experience by processes of abductive inference, in contrast to the view that it arises non-inferentially, or that deduction and inductive generalization are enough to account for knowledge. Much AI research is hypothetical, so the importance of this book is that it reports key discoveries about abduction that have been made as a result of designing, building, testing, and analyzing actual working knowledge-based systems for medical diagnosis and other abductive tasks. The book tells the story of six generations of increasingly sophisticated generic abduction machines, RED-1, RED-2, PEIRCE, MDX2, TIPS, QUAWDS, and the discovery of reasoning strategies that make it computationally feasible to form well-justified composite explanatory hypotheses, despite the threat of combinatorial explosion. The final chapter argues that perception is logically abductive and presents a layered-abduction computational model of perceptual information processing. This book will be of great interest to researchers in AI, cognitive science, and philosophy of science. (shrink)

This essay explores the role of informal logicand its application in the context of currentdebates regarding evidence-based medicine. This aim is achieved through a discussion ofthe goals and objectives of evidence-basedmedicine and a review of the criticisms raisedagainst evidence-based medicine. Thecontributions to informal logic by StephenToulmin and Douglas Walton are explicated andtheir relevance for evidence-based medicine isdiscussed in relation to a common clinicalscenario: hypertension management. This essayconcludes with a discussion on the relationshipbetween clinical reasoning, rationality, andevidence. It is argued that (...) informal logic hasthe virtue of bringing explicitness to the roleof evidence in clinical reasoning, and bringssensitivity to understanding the role ofdialogical context in the need for evidence inclinical decision making. (shrink)

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. (shrink)

The study presented here examines how interacting with a more capable interlocutor influences use of argumentation strategies in electronic discourse. To address this question, 54 young adolescents participating in an intervention centered on electronic peer dialogs were randomly assigned to either an experimental or control condition. In both conditions, pairs who held the same position on a social issue engaged in a series of electronic dialogs with pairs who held an opposing position. In the experimental condition, in some dialogs, unbeknownst (...) to them (because dialog took place electronically), the opponent was a more capable (“expert”) adult. Dialogs in the control condition were only with peers. Argumentation strategies of the experimental group who argued with the “expert” showed immediate strategy improvements in their subsequent peer dialogs, improvement absent in the control group (Cohen's d = 1.12). In particular, the experimental group showed greater use of counterargument in general and advanced forms of counterargument (undermining) that challenges the deeper premises or reasoning on which an argument is based. Implications with respect to mechanisms of change in the development of argumentation skills are considered. (shrink)

The purpose of this paper is to show whether the two crucial dimensions used for assessing the quality of argumentation, argument-as-a-product (argument structure) and argument-as-a-process (relevance), are interrelated, and how they can be used to assess the effect of argumentative mode on students’ arguments. To this purpose, a twofold coding scheme will be developed, aimed at capturing: a) the argumentative function of evidence use and b) the dialogical relevance of evidence use. A study will be described in which students’ use (...) of evidence is elicited in two distinct argumentative modes (dialogical vs. non-dialogical). According to the results, in the dialogical mode students tended to use evidence in a more sophisticated way from both argument evaluation perspectives. (shrink)

The view that argumentation is a desired reasoning practice in the classroom is well reported in the literature. Nonetheless, it is still not clear what type of reasoning supports classroom argumentation. The paper discusses abductive reasoning as the most adequate for students’ arguments to emerge in a classroom discussion. Abductive reasoning embraces the idea of plausibility and defeasibility of both the premises and the conclusion. As such, teachers’ role becomes the one of guiding students through formulating relevant hypotheses and selecting (...) the most plausible one according to criteria. Argumentation schemes are proposed as useful tools in this process.L'idée que l'argumentation est une pratique de raisonnement souhaitée en classe est bien documentée dans la littérature. Néanmoins, il n'est toujours pas clair quel type de raisonnement soutient l'argumentation en classe. Dans cet article on discute du raisonnement abductif comme étant le plus adéquat pour que les arguments des élèves émergent dans une discussion en classe. Le raisonnement abductif emploie l'idée de plausibilité et de la révocabilité des prémisses et de la conclusion. En tant que tel, le rôle des enseignants consiste à guider les élèves à formuler des hypothèses pertinentes et à sélectionner le plus plausible selon des critères. Les schèmes d'argumentation sont proposés comme des outils utiles dans ce processus. (shrink)

Argumentation, and the production of scientific arguments are critical elements of inquiry that are necessary for helping students become scientifically literate through engaging them in constructing and critiquing ideas. This case study employed a mixed methods research design to examine the development in 5th grade students’ practices of oral and written argumentation from one unit to another over 16 weeks utilizing the science writing heuristic approach. Data sources included five rounds of whole-class discussion focused on group presentations of arguments that (...) occurred over eleven class periods; students’ group writings; interviews with six target students and the teacher; and the researcher’s field notes. The results revealed five salient trends in students’ development of oral and written argumentative practices over time: Students came to use more critique components as they participated in more rounds of whole-class discussion focused on group presentations of arguments; by challenging each other’s arguments, students came to focus on the coherence of the argument and the quality of evidence; students came to use evidence to defend, support, and reject arguments; the quality of students’ writing continuously improved over time; and students connected oral argument skills to written argument skills as they had opportunities to revise their writing after debating and developed awareness of the usefulness of critique from peers. Given the development in oral argumentative practices and the quality of written arguments over time, this study indicates that students’ development of oral and written argumentative practices is positively related to each other. This study suggests that argumentative practices should be framed through both a social and epistemic understanding of argument-utilizing talk and writing as vehicles to create norms of these complex practices. (shrink)

Vol. presents a method for critically evaluating relevance in arguments based on case studies & a new relevance theory incorporating techniques of argumentation theory, logic & artificiaI intelligence. For scholars/students in argumentation & rhetoric.

An argument evaluation inventory distinguishing between different levels of theory-evidence differentiation was designed corresponding to the levels of argument observed in argument generation tasks. Five scenarios containing everyday theories about a social problem, and arguments to support those theories were presented to 170 participants from two age groups (15 and 22 years) and different educational tracks. Participants had to rate the validity of arguments proposed by a story figure, to support the theory, to choose the best argument, and to justify (...) their choice. The rating task proved to be very difficult for all age groups, with only 49% of the university students consistently rating valid evidence-based arguments higher than flawed arguments. Competence improved with age and educational level. In the choice task more than 80% of the adults preferred an argument that reflected theory-evidence differentiation over mere theory elaboration or flawed reasoning. However, only adults with a university education were able to also explicitly justify their choice. Overall, these findings imply that laypersons have similar conceptual problems in differentiating theory from evidence as it has been reported for evidence generation tasks (Kuhn, 1991). Performance on the choice task suggests that some implicit awareness of differences between theory and evidence may precede a full, explicit understanding. Implications for education are discussed. (shrink)

A substantial body of evidence shows that people tend to rely too heavily on explanations when trying to justify an opinion. Some research suggests these errors may arise from an inability to distinguish between explanations and the evidence that bears upon them. We examine an alternative account, that many people do distinguish between explanations and evidence, but rely more heavily on unsubstantiated explanations when evidence is scarce or absent. We examine the philosophical and psychological distinctions between explanation and evidence, and (...) show that participants use explanations as a substitute for missing evidence. Experiment 1 replicates the results of other researchers, but further shows that participants generate more evidence when they are not constrained by their lack of data. Merely mentioning a source of data can alter both their evaluation (Experiment 2) and their production (Experiment 3) of explanations and evidence. In Experiment 4, we show that participants can explicitly consider the availability of evidence and other pragmatic factors when evaluating arguments. Finally, we consider the implications of using explanations to replace missing evidence as a strategy in argument. (shrink)