Explorations in Common Sense and Common Nonsense
Author | : Daniel S. Levine |
Publisher | : |
Total Pages | : 332 |
Release | : 2010 |
Genre | : Common sense |
ISBN | : |
Download Explorations in Common Sense and Common Nonsense Book in PDF, Epub and Kindle
Download Explorations In Common Sense And Common Nonsense full books in PDF, epub, and Kindle. Read online free Explorations In Common Sense And Common Nonsense ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Daniel S. Levine |
Publisher | : |
Total Pages | : 332 |
Release | : 2010 |
Genre | : Common sense |
ISBN | : |
Author | : Jules Goddard |
Publisher | : Profile Books |
Total Pages | : 255 |
Release | : 2012-05-03 |
Genre | : Business & Economics |
ISBN | : 1847658210 |
This is a book for managers who know that their organisations are stuck in a mindset that thrives on fashionable business theories that are no more than folk wisdom, and whose so-called strategies that are little more than banal wish lists. It puts forward the notion that the application of uncommon sense - thinking or acting differently from other organisations in a way that makes unusual sense - is the secret to competitive success. For those who want to succeed and stand out from the herd this book is a beacon of uncommon sense and a timely antidote to managerial humbug.
Author | : Lady Mary Wortley Montagu |
Publisher | : |
Total Pages | : 56 |
Release | : 1970 |
Genre | : |
ISBN | : |
Author | : Wim Tigges |
Publisher | : Rodopi |
Total Pages | : 266 |
Release | : 1987 |
Genre | : Limericks |
ISBN | : 9789062036998 |
Bundel opstellen over nonsensliteratuur, bepaalde aspecten daarvan en over het werk van bepaalde auteurs binnen het genre.
Author | : Thomas Paine |
Publisher | : ReadHowYouWant.com |
Total Pages | : 109 |
Release | : |
Genre | : |
ISBN | : 1442938730 |
Author | : Jordi Vallverdú |
Publisher | : Springer |
Total Pages | : 118 |
Release | : 2015-11-06 |
Genre | : Science |
ISBN | : 3662486385 |
This book analyzes the origins of statistical thinking as well as its related philosophical questions, such as causality, determinism or chance. Bayesian and frequentist approaches are subjected to a historical, cognitive and epistemological analysis, making it possible to not only compare the two competing theories, but to also find a potential solution. The work pursues a naturalistic approach, proceeding from the existence of numerosity in natural environments to the existence of contemporary formulas and methodologies to heuristic pragmatism, a concept introduced in the book’s final section. This monograph will be of interest to philosophers and historians of science and students in related fields. Despite the mathematical nature of the topic, no statistical background is required, making the book a valuable read for anyone interested in the history of statistics and human cognition.
Author | : Montagu |
Publisher | : |
Total Pages | : 0 |
Release | : |
Genre | : |
ISBN | : |
Author | : William Kingdon Clifford |
Publisher | : Createspace Independent Publishing Platform |
Total Pages | : 290 |
Release | : 2013-03-13 |
Genre | : |
ISBN | : 9781482758825 |
The Common Sense of the Exact Sciences By William Kingdon Clifford
Author | : John D. Dadosky |
Publisher | : University of Toronto Press |
Total Pages | : 139 |
Release | : 2024-06-03 |
Genre | : Religion |
ISBN | : 148755446X |
In 1972, renowned Canadian philosopher and theologian Bernard Lonergan published Method in Theology. Now, following the fiftieth anniversary of his landmark work, The Wisdom of Order presents the next step in advancing the thought of this significant religious theorist. In addition to the previously compiled Collected Works of Bernard Lonergan, this book aims to provide an appreciation and exploration of Method in Theology. It analyses the first five chapters of the work with commentaries to help readers traverse Lonergan’s thought more effectively and deeply. John D. Dadosky presents compelling exposition and observations to assist readers. The book explores questions related to the philosophical status of beauty, which Lonergan does not address. In addition to Lonergan’s three stages of meaning, the book also seeks to develop a fourth stage that pertains to the turn to alterity emphasizing positive relations with other cultures and religions. As a result, The Wisdom of Order critically analyses an important groundbreaking work while also highlighting areas for further development.
Author | : Martin W. Bauer |
Publisher | : Taylor & Francis |
Total Pages | : 286 |
Release | : 2024-06-28 |
Genre | : Computers |
ISBN | : 1040086527 |
Common sense is the endless frontier in the development of artificial intelligence, but what exactly is common sense, can we replicate it in algorithmic form, and if we can – should we? Bauer, Schiele and their contributors from a range of disciplines analyse the nature of common sense, and the consequent challenges of incorporating into artificial intelligence models. They look at different ways we might understand common sense and which of these ways are simulated within computer algorithms. These include sensory integration, self-evident truths, rhetorical common places, and mutuality and intentionality of actors within a moral community. How far are these possible features within and of machines? Approaching from a range of perspectives including Sociology, Political Science, Media and Culture, Psychology and Computer Science, the contributors lay out key questions, practical challenges and "common sense" concerns underlying the incorporation of common sense within machine learning algorithms for simulating intelligence, socialising robots, self-driving vehicles, personnel selection, reading, automatic text analysis, and text production. A valuable resource for students and scholars of Science–Technology–Society Studies, Sociologists, Psychologists, Media and Culture Studies, human–computer interaction with an interest in the post-human, and programmers tackling the contextual questions of machine learning.