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Author: Orna Harari
Publisher: Springer Science & Business Media
ISBN: 1402027885
Category : Philosophy
Languages : en
Pages : 180
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Book Description
This study explores the theoretical relationship between Aristotle’s theory of syllogism and his conception of demonstrative knowledge. More specifically, I consider why Aristotle’s theory of demonstration presupposes his theory of syllogism. In reconsidering the relationship between Aristotle’s two Analytics, I modify this widely discussed question. The problem of the relationship between Aristotle’s logic and his theory of proof is commonly approached from the standpoint of whether the theory of demonstration presupposes the theory of syllogism. By contrast, I assume the theoretical relationship between these two theories from the start. This assumption is based on much explicit textual evidence indicating that Aristotle considers the theory of demonstration a branch of the theory of syllogism. I see no textual reasons for doubting the theoretical relationship between Aristotle’s two Analytics so I attempt to uncover here the common theoretical assumptions that relate the syllogistic form of reasoning to the cognitive state (i. e. , knowledge), which is attained through syllogistic inferences. This modification of the traditional approach reflects the wider objective of this essay. Unlike the traditional interpretation, which views the Posterior Analytics in light of scientific practice, this study aims to lay the foundation for a comprehensive interpretation of the Posterior Analytics, considering this work from a metaphysical perspective. One of my major assertions is that Aristotle’s conception of substance is essential for a grasp of his theory of demonstration in general, and of the role of syllogistic logic in particular.
Author: Orna Harari
Publisher: Springer Science & Business Media
ISBN: 1402027885
Category : Philosophy
Languages : en
Pages : 180
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Book Description
This study explores the theoretical relationship between Aristotle’s theory of syllogism and his conception of demonstrative knowledge. More specifically, I consider why Aristotle’s theory of demonstration presupposes his theory of syllogism. In reconsidering the relationship between Aristotle’s two Analytics, I modify this widely discussed question. The problem of the relationship between Aristotle’s logic and his theory of proof is commonly approached from the standpoint of whether the theory of demonstration presupposes the theory of syllogism. By contrast, I assume the theoretical relationship between these two theories from the start. This assumption is based on much explicit textual evidence indicating that Aristotle considers the theory of demonstration a branch of the theory of syllogism. I see no textual reasons for doubting the theoretical relationship between Aristotle’s two Analytics so I attempt to uncover here the common theoretical assumptions that relate the syllogistic form of reasoning to the cognitive state (i. e. , knowledge), which is attained through syllogistic inferences. This modification of the traditional approach reflects the wider objective of this essay. Unlike the traditional interpretation, which views the Posterior Analytics in light of scientific practice, this study aims to lay the foundation for a comprehensive interpretation of the Posterior Analytics, considering this work from a metaphysical perspective. One of my major assertions is that Aristotle’s conception of substance is essential for a grasp of his theory of demonstration in general, and of the role of syllogistic logic in particular.
Author: John Longeway
Publisher: University of Notre Dame Press
ISBN:
Category : Philosophy
Languages : en
Pages : 464
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Book Description
Offers an English translation of William of Ockham's work on 'Aristotle's Posterior Analytics', which contains his theory of scientific demonstration and philosophy of science. This book also includes a detailed history of the intellectual background to Ockham's work in the Latin Middle Ages.
Author: Karen Kelsky
Publisher: Crown
ISBN: 0553419420
Category : Education
Languages : en
Pages : 450
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Book Description
The definitive career guide for grad students, adjuncts, post-docs and anyone else eager to get tenure or turn their Ph.D. into their ideal job Each year tens of thousands of students will, after years of hard work and enormous amounts of money, earn their Ph.D. And each year only a small percentage of them will land a job that justifies and rewards their investment. For every comfortably tenured professor or well-paid former academic, there are countless underpaid and overworked adjuncts, and many more who simply give up in frustration. Those who do make it share an important asset that separates them from the pack: they have a plan. They understand exactly what they need to do to set themselves up for success. They know what really moves the needle in academic job searches, how to avoid the all-too-common mistakes that sink so many of their peers, and how to decide when to point their Ph.D. toward other, non-academic options. Karen Kelsky has made it her mission to help readers join the select few who get the most out of their Ph.D. As a former tenured professor and department head who oversaw numerous academic job searches, she knows from experience exactly what gets an academic applicant a job. And as the creator of the popular and widely respected advice site The Professor is In, she has helped countless Ph.D.’s turn themselves into stronger applicants and land their dream careers. Now, for the first time ever, Karen has poured all her best advice into a single handy guide that addresses the most important issues facing any Ph.D., including: -When, where, and what to publish -Writing a foolproof grant application -Cultivating references and crafting the perfect CV -Acing the job talk and campus interview -Avoiding the adjunct trap -Making the leap to nonacademic work, when the time is right The Professor Is In addresses all of these issues, and many more.
Author: François de Salignac de La Mothe- Fénelon
Publisher:
ISBN:
Category :
Languages : en
Pages : 302
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Book Description
Author: David Bronstein
Publisher: Oxford University Press
ISBN: 019872490X
Category : Philosophy
Languages : en
Pages : 287
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Book Description
David Bronstein sheds new light on Aristotle's 'Posterior Analytics' - one of the most important, and difficult, works in the history of Western philosophy. He argues that it is coherently structured around two themes of enduring philosophical interest - knowledge and learning - and goes on to highlight Plato's influence on Aristotle's text.
Author:
Publisher:
ISBN:
Category : Military education
Languages : en
Pages : 32
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Book Description
This research was conducted as part of a Phase I Army Small Business Innovative Research (SBIR) contract monitored by the United States Army Research Institute for the Behavioral and Social Sciences (ARI). The overall goal of the SBIR topic is to develop a comprehensive system for designing, producing, distributing, and using training demonstrations. This report provides an initial formalism for demonstration-based learning, to be incorporated into the design and development of that system. The report provides a conceptual definition of demonstrations, a framework of demonstration features, and a set of initial guidelines for designing effective demonstrations organized around the presented framework. This serves the dual purposes of organizing what is known about designing effective demonstrations and directing future research.
Author: National Research Council
Publisher: National Academies Press
ISBN: 030917080X
Category : Education
Languages : en
Pages : 588
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Book Description
This book takes a fresh look at programs for advanced studies for high school students in the United States, with a particular focus on the Advanced Placement and the International Baccalaureate programs, and asks how advanced studies can be significantly improved in general. It also examines two of the core issues surrounding these programs: they can have a profound impact on other components of the education system and participation in the programs has become key to admission at selective institutions of higher education. By looking at what could enhance the quality of high school advanced study programs as well as what precedes and comes after these programs, this report provides teachers, parents, curriculum developers, administrators, college science and mathematics faculty, and the educational research community with a detailed assessment that can be used to guide change within advanced study programs.
Author: Orna Harari
Publisher:
ISBN: 9789401570749
Category :
Languages : en
Pages : 172
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Book Description
Author: Yuxiao Dong
Publisher: Springer Nature
ISBN: 3030676706
Category : Computers
Languages : en
Pages : 608
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Book Description
The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.
Author: James O. Young
Publisher: Routledge
ISBN: 1134519303
Category : Art
Languages : en
Pages : 193
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Book Description
Art and Knowledge argues that the experience of art is so rewarding because it can be an important source of knowledge about ourselves and our relation to each other and to the world.
