Understanding And Explanation
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Understanding and Explanation
Understanding and Explanation clarifies the "explanation versus understanding" debate that has become central to the philosophy of the social sciences.
The Art of Explanation
Your guide to becoming an explanation specialist. You've done the hard work. Your product or service works beautifully - but something is missing. People just don't see the big idea - and it's keeping you from being successful. Your idea has an explanation problem. The Art of Explanation is for business people, educators and influencers who want to improve their explanation skills and start solving explanation problems. Author Lee LeFever is the founder of Common Craft, a company known around the world for making complex ideas easy to understand through short animated videos. He is your guide to helping audiences fall in love with your ideas, products or services through better explanations in any medium. You will learn to: Plan: Learn explanation basics, what causes them to fail and how to diagnose explanation problems. Package: Using simple elements, create an explanation strategy that builds confidence and motivates your audience. Present: Produce remarkable explanations with visuals and media. The Art of Explanation is your invitation to become an explanation specialist and see why explanation is now a fundamental skill for professionals.
Depth
Author: Michael Strevens
language: en
Publisher: Harvard University Press
Release Date: 2011-09-30
What does it mean for scientists to truly understand, rather than to merely describe, how the world works? Michael Strevens proposes a novel theory of scientific explanation and understanding that overhauls and augments the familiar causal approach to explanation. What is replaced is the test for explanatorily relevant causal information: Strevens discards the usual criterion of counterfactual dependence in favor of a criterion that turns on a process of progressive abstraction away from a fully detailed, physical causal story. The augmentations include the introduction of a new, non-causal explanatory relevance relation—entanglement—and an independent theory of the role of black-boxing and functional specification in explanation. The abstraction-centered notion of difference-making leads to a rich causal treatment of many aspects of explanation that have been either ignored or handled inadequately by earlier causal approaches, including the explanation of laws and other regularities, with particular attention to the explanation of physically contingent high-level laws, idealization in explanation, and probabilistic explanation in deterministic systems, as in statistical physics, evolutionary biology, and medicine. The result is an account of explanation that has especially significant consequences for the higher-level sciences: biology, psychology, economics, and other social sciences.