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Argument map

Argument map
Visual representation of the structure of an argument Argument maps are commonly used in the context of teaching and applying critical thinking.[2] The purpose of mapping is to uncover the logical structure of arguments, identify unstated assumptions, evaluate the support an argument offers for a conclusion, and aid understanding of debates. Argument maps are often designed to support deliberation of issues, ideas and arguments in wicked problems.[3] A number of different kinds of argument maps have been proposed but the most common, which Chris Reed and Glenn Rowe called the standard diagram,[5] consists of a tree structure with each of the reasons leading to the conclusion. There is no consensus as to whether the conclusion should be at the top of the tree with the reasons leading up to it or whether it should be at the bottom with the reasons leading down to it.[5] Another variation diagrams an argument from left to right.[6] According to Douglas N. [edit] Diagramming written text Related:  Saved Wiki

Argunet | Open-Source Argument Mapping The Complete Plain Words Cover of original version of The Complete Plain Words (fifth impression, 1958) All the editions until that of 2014 were published by HMSO. The most recent is issued by an imprint of Penguin Books. Background[edit] The association of wordiness with bureaucracy has a long history. The nonsensical jargon of the old Ministries must be replaced by a simple style, clear and yet concise, free from expressions of servility, from obsequious formulae, stand-offishness, pedantry, or any suggestion that there is an authority superior to that of reason, or of the order established by law. The British civil service of the 19th and early 20th centuries had a reputation for pomposity and long-windedness in its written communications. Sir Ernest Gowers, a senior civil servant, was among those who wished to see officialese replaced by normal English. Plain Words, 1948[edit] The result of Gowers's work was Plain Words, a 94-page booklet. Reviewers responded favourably. ABC of Plain Words, 1951[edit] Notes

Araucaria (software) The user interface is composed of a main window (diagramming), a schemes editor and the AraucariaDB online interface. While Araucaria helps identify the structure of an argument, it provides freedom of analysis resources. The scheme editor allows the user to create argumentation schemes, group them together and save them into a scheme set file. The AraucariaDB Online Repository can be browsed to retrieve specific arguments to fit a diagram. Because it is based on XML, a standard widely used by developers, AML content can be accessed through other software that support XML.

Visualization (computer graphics) See also Information graphics Visualization or visualisation is any technique for creating images, diagrams, or animations to communicate a message. Visualization through visual imagery has been an effective way to communicate both abstract and concrete ideas since the dawn of man. Examples from history include cave paintings, Egyptian hieroglyphs, Greek geometry, and Leonardo da Vinci's revolutionary methods of technical drawing for engineering and scientific purposes. Visualization today has ever-expanding applications in science, education, engineering (e.g., product visualization), interactive multimedia, medicine, etc. Charles Minard's information graphic of Napoleon's march Computer graphics has from its beginning been used to study scientific problems. Apart from the distinction between interactive visualizations and animation, the most useful categorization is probably between abstract and model-based scientific visualizations.

Mindmapping, concept mapping in 3D Amazon.co.uk - The Complete Plain Words Condition: Used: Good Comment: This book is in good condition and fulfilled by Amazon which means it is eligible for Amazon Prime. The book itself may have been used before but will be largely free of stains and markings. Textbooks may have slight highlighting. Corners may be slightly bent and spine may be creased but overall in solid condition with money back guarantee. Fulfilment by Amazon (FBA) is a service Amazon offers sellers that lets them store their products in Amazon's warehouses, and Amazon directly does the picking, packing, shipping and customer service on these items. If you're a seller, you can increase your sales significantly by using Fulfilment by Amazon. Add to Basket

Artificial intelligence in video games AI used for video games, usually non-player characters In video games, artificial intelligence (AI) is used to generate responsive, adaptive or intelligent behaviors primarily in non-playable characters (NPCs) similar to human-like intelligence. Artificial intelligence has been an integral part of video games since their inception in the 1948, first seen in the game Nim.[1] AI in video games is a distinct subfield and differs from academic AI. It serves to improve the game-player experience rather than machine learning or decision making. During the golden age of arcade video games the idea of AI opponents was largely popularized in the form of graduated difficulty levels, distinct movement patterns, and in-game events dependent on the player's input. Modern games often implement existing techniques such as pathfinding and decision trees to guide the actions of NPCs. Many industries and corporate voices[who?] People[who?] In computer simulations of board games [edit] In modern video games

Mind map Diagram to visually organize information A mind map is a diagram used to visually organize information into a hierarchy, showing relationships among pieces of the whole.[1] It is often created around a single concept, drawn as an image in the center of a blank page, to which associated representations of ideas such as images, words and parts of words are added. Major ideas are connected directly to the central concept, and other ideas branch out from those major ideas. Mind maps can also be drawn by hand, either as "notes" during a lecture, meeting or planning session, for example, or as higher quality pictures when more time is available. Mind maps are considered to be a type of spider diagram.[2] Differences from other visualizations [edit] Joeran Beel and Stefan Langer conducted a comprehensive analysis of the content of mind maps.[15] They analysed 19,379 mind maps from 11,179 users of the mind mapping applications SciPlore MindMapping (now Docear) and MindMeister. Education portal

Press Space or double-click to edit Capture ideas at the speed of thought – using a mind map maker designed to help you focus on your ideas and remove all the distractions while mindmapping. Create unlimited mind maps for free, and store them in the cloud. Your mind maps are available everywhere, instantly, from any device. Brainstorm, create presentations and document outlines with mind maps, and publish your ideas online and to social networks. Get Started Why use MindMup? MindMup is great for individual note-taking, collaborative planning, teamwork and classrooms. 1 Powerful keyboard shortcuts speed up your work 2 Frictionless interface helps you focus 3 Convert maps easily to PDF, PowerPoint, outlines... 4 Publish and share maps online 5 Easily save to Google Drive and manage using Google Apps

Writing Recommendation Applications of artificial intelligence Artificial intelligence has been used in a wide range of fields including medical diagnosis, stock trading, robot control, law, remote sensing, scientific discovery and toys. However, many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore," Nick Bostrom reports.[1] "Many thousands of AI applications are deeply embedded in the infrastructure of every industry." In the late 90s and early 21st century, AI technology became widely used as elements of larger systems, but the field is rarely credited for these successes. Computer science[edit] AI researchers have created many tools to solve the most difficult problems in computer science. Many of their inventions have been adopted by mainstream computer science and are no longer considered a part of AI. Finance[edit] Hospitals and medicine[edit] Heavy industry[edit]

Concept map From Wikipedia, the free encyclopedia Diagram showing relationships among concepts A concept map or conceptual diagram is a diagram that depicts suggested relationships between concepts.[1] Concept maps may be used by instructional designers, engineers, technical writers, and others to organize and structure knowledge. Differences from other visualizations[edit] History[edit] Novak's work is based on the cognitive theories of David Ausubel, who stressed the importance of prior knowledge in being able to learn (or assimilate) new concepts: "The most important single factor influencing learning is what the learner already knows. Use[edit] Concept maps are used to stimulate the generation of ideas, and are believed to aid creativity.[4] Concept mapping is also sometimes used for brain-storming. Formalized concept maps are used in software design, where a common usage is Unified Modeling Language diagramming amongst similar conventions and development methodologies. See also[edit] References[edit]

Free mind mapping (and related types) software I see regular inquiries on Twitter and in forums from people looking for free software to support visual thinking. To provide answers, InformationTamers have put together 14 pages to help you find the one for your needs. These show the platform, a screen thumbnail and a link for more information in each case. Mind-mapping.org has a good capability for selecting software by map type and operating system (click on the ‘Refine software list’ tab at the top right of its web page). “Free” here is as in beer, not in freedom, though some of the software listed is open source, so is free in both senses. Of course a pencil and paper is always almost free. This used to be one long page, but as I updated and added to it, it became unmanageable, so now it’s broken down by category. Click through for more details:

How students learn: what learning involves Serialists and holists Another way in which students can differ in their approach to learning is in terms of the serialist approach versus the holistic approach. Students who adopt a serialistic approach tend to work in a systematic, essentially linear way, and tend to approach a complicated task by breaking it down into a series of sub-tasks, mastering each of these separately, and then combining them in order to master the task as a whole. working systematically, one step at a time focussing narrowly on the specific material being studied looking first at details and evidence finding too many examples and illustrations distracting being cautious about accepting the explanation offered enjoying tightly-structured coaching and teaching. Students who adopt a holistic approach, on the other hand, tend to work best by tackling a task as an integrated whole right from the start.

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