Search results for " Argumentation"

Enhancing Dialogic Argumentation in Mathematics and Science

2017

This paper reports on a teacher professional development (PD) programme addressing dialogic argumentation in mathematics and science classrooms. While argumentation skills are becoming more and more important in an increasingly polarised society, the social aspect of argumentation is often neglected in secondary education. Moreover, it is agreed that genuine argumentation requires time and space in classroom dialogue. There have been calls for research delving into how teachers could be familiarised with dialogic argumentation so that they could foster such dialogue in students. The described PD programme features versatile and continuous cooperation between scholars and participating teach…

Accordo e disaccordo: prospettive logico-retoriche

2012

Da ormai più di 50 anni la teoria dell’argomentazione ha acquisito un ruolo centrale nell’ambito della riflessione filosofico-linguistica. A far data dal 1958, anno in cui escono in contemporanea ma in maniera del tutto indipendente, il Trattato dell’argomentazione di Perelman ed Olbrechts-Tyteca e Gli usi dell’argomentazione di S. Toulmin si è assistito, infatti, ad una serrata rivalutazione di una logica del ragionamento che, in opposizione alla logica dimostrativa di matrice cartesiana, recupera la centralità delle nozioni di efficacia, di probabile, di uditorio. Una logica doxastica, dunque, che, per riprendere la terminologia impiegata da Aristotele, si applica a ciò che, essendo vero …

Different procedures in argumentation and conjecturation in primary school:an experience with Chinese students

2008

Argumentation graphs with constraint-based reasoning for collaborative expertise

2018

International audience; Collaborative processes are very important in telemedicine domain since they allow for making right decisions in complex situations with multidisciplinary staff. When modelling these collaborative processes, some inconsistencies can appear. In semantic modelling (conceptual graphs), these inconsistencies are verified using constraints. In this work, collaborative processes are represented using an argumentation system modelled in a conceptual graph formalism where inconsistencies could be particular bad attack relation between arguments. To overcome these inconsistencies, two solutions are proposed. The first one is to weight the arguments evolving in the argumentati…

Probabilistic Logic under Coherence‚ Model−Theoretic Probabilistic Logic‚ and Default Reasoning in System P

2016

We study probabilistic logic under the viewpoint of the coherence principle of de Finetti. In detail, we explore how probabilistic reasoning under coherence is related to model-theoretic probabilistic reasoning and to default reasoning in System P. In particular, we show that the notions of g-coherence and of g-coherent entailment can be expressed by combining notions in model-theoretic probabilistic logic with concepts from default reasoning. Moreover, we show that probabilistic reasoning under coherence is a generalization of default reasoning in System P. That is, we provide a new probabilistic semantics for System P, which neither uses infinitesimal probabilities nor atomic bound (or bi…

Probabilistic Logic under Coherence, Model-Theoretic Probabilistic Logic, and Default Reasoning

2001

We study probabilistic logic under the viewpoint of the coherence principle of de Finetti. In detail, we explore the relationship between coherence-based and model-theoretic probabilistic logic. Interestingly, we show that the notions of g-coherence and of g-coherent entailment can be expressed by combining notions in model-theoretic probabilistic logic with concepts from default reasoning. Crucially, we even show that probabilistic reasoning under coherence is a probabilistic generalization of default reasoning in system P. That is, we provide a new probabilistic semantics for system P, which is neither based on infinitesimal probabilities nor on atomic-bound (or also big-stepped) probabil…

Reports of the AAAI 2009 Fall Symposia

2010

The Association for the Advancement of Artificial Intelligence was pleased to present the 2009 Fall Symposium Series, held Thursday through Saturday, November 5–7, at the Westin Arlington Gateway in Arlington, Virginia. The Symposium Series was preceded on Wednesday, November 4 by a one-day AI funding seminar. The titles of the seven symposia were as follows: (1) Biologically Inspired Cognitive Architectures, (2) Cognitive and Metacognitive Educational Systems, (3) Complex Adaptive Systems and the Threshold Effect: Views from the Natural and Social Sciences, (4) Manifold Learning and Its Applications, (5) Multirepresentational Architectures for Human-Level Intelligence, (6) The Uses of Comp…

Investigating elementary school students’ text-based argumentation with multiple online information resources

2020

In this study, we explored how elementary school students used multiple information resources in responding to a text-based argumentation task asking them to research a set of online texts in order to state and justify their stance on a controversial health-related issue. Results showed that most students took a stance that was consistent with the majority of the information resources that they read, that they mainly drew on more reliable resources in their written task products, and that they justified their stance by providing one or more supporting reasons. Students relied much more on copying and paraphrasing content from the online resources than on integrating information within and a…

The recreational science as a tool to motivate and improve the acquisition of argumentation skills

2013

The present work consists essentially of an analysis of the use of recreational science (games, toys and recreational experiences playful dial) in formal learning, checking improving student motivation and acquisition of scientific-argumentative to incorporate classroom activities containing elements such recreational.

Explanatory Reasoning: A Probabilistic Interpretation

2016

This paper deals with inference guided by explanatory considerations –specifically with the prospects for a probabilistic interpretation of it. After pointing out some differences between two sorts of explanatory reasoning – i.e.: abduction and “inference to the best explanation” – in the first section I distinguish two tasks: (a) to discern which explanation is the best one; (b) to assess whether the best explanation deserves to be legitimately believed. In Sect. 20.2 I discuss some recent definitions of explanatory power based on “reduction of uncertainty” (Schupbach and Sprenger 2011; Crupi and Tentori 2012). Even though a probabilistic framework is a promising option here, I will argue …