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Cmap Cloud Argunet Editor - Argunet Argunet Editor is a free argument map editor for analyzing and visualizing complex debates. You can use it offline and save your debates on your hard-disk. Or you can use it as a client-server application. Fast sketching mode: You can use Argunet to quickly outline the macro-structure of a debate. If this all sounds like gibberish to you, don’t worry. Installation In order to run Argunet, a Java Runtime Environment 6.0 or higher has to be installed on your Computer. Please select the download files for your operations system below and follow the install instructions. After you installed your version of Argunet we highly recommend that you install the two plugins we currently provide: the yFiles Layouter and yFiles Exporter. To install the Argunet layout and export plugins open the ‘Help’ Menu in Argunet and select ‘Install Argunet plugins’. Download Microsoft Windows If you don’t know which version you need (64bit or 32bit), read these instructions by Microsoft. Mac OS X Linux On request.

Space: Showing Evidence Anyone can have an opinion, but backing it up with well-articulated evidence requires careful thinking. The Showing Evidence Tool helps students learn how to construct well-reasoned arguments and prove their case with credible evidence. The tool provides a visual framework to make claims, identify evidence, evaluate the quality of that evidence, explain how the evidence supports or weakens claims, and reach conclusions based on the evidence. This thinking tool supports activities where students debate differences, make and defend decisions, and analyze conflicting information. The tool and related resources are available for free, from any computer that is connected to the Internet. Students may work on their claims and evidence at home or at school, and can be paired with another team to review their ideas. Overview and Benefits Learn more about the features of the Showing Evidence resource. Try the Tool See how easy it is to use the tool. Project Examples Instructional Strategies

theargumentativetheoryofreasoning - hugomercier Current philosophy and psychology are dominated by what can be called a classical, or ‘Cartesian’ view of reasoning. Even though this view goes back at least to some classical Greek philosophers, its most famous exposition is probably in Descartes. Put plainly, it’s the idea that the role of reasoning is to critically examine our beliefs so as to discard wrong-headed ones and thus create more reliable beliefs—knowledge. This knowledge is in turn supposed to help us make better decisions. The theory Dan Sperber suggested—the argumentative theory of reasoning—proposes that instead of having a purely individual function, reasoning has a social and, more specifically, argumentative function. Our evolutionary account is much more in touch with the prevailing view of the evolution of human cognition. Prediction #1. Prediction #2. Prediction #3. Prediction #4. Prediction #5. All the results above are also true of children. Upshot. You can find a summary of the evidence in this paper.

Announcing Carneades 4 · Carneades 29 Jul 2015 We have begun work on version 4 of Carneades. With this version we are pursuing the following goals: Developing a new version of the Carneades Argument Evaluation Structures (CAES) formal model of structured argumentation, with better support for cyclic argument graphs, cumulative arguments, practical reasoning, case-based reasoning, and multi-criteria decision analysis. This new model both generalizes and simplifies the previous CAES model. It also improves its compatibility with other models of structured argument, such as the Argument Interchange Format (AIF), ASPIC+ and IBIS (Issue-Based Information Systems). Today we are pleased to announce the first release of this new version, Carneades 4.1. An evaluator for structured arguments, based on the new version of the Carneades Argument Evaluation Structures (CAES) formal model of structured argument. We recommend using the free yEd GraphML program for editing and viewing the GraphML files.

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