《超越学科的认知基础》2015颜峻学习报告-第一周
目录
关键词
逻辑模型 ：课程体系的核心，作为目的为导向的运作模式的基础，为学习生产生活提供了一个新的视角。
认知(Cognition)[1] ：本课程设计的认知主要围绕语言语汇体系中的隐喻展开，分别是：structural ,orientational和ontological metaphors。
Thomas Kuhn[2] ；《The Structure of Scientific Revolution》的作者。
the Structure of Scientific Revolutions[3]：一本介绍科学革命的书，其中提出了著名的Kuhn cycle。
Leslie Valiant[4] 《Probably Approximately Correct》的作者。
Probably Approximately Correct. (PAC)[5] ：一本介绍计算机，以及人工智能初步的书。
Probably Approximately Correct Learning[6] ：一种由Leslie Valiant在Probably Approximately Correct 一书中提到的学习方法。
Group learning：课程的目标即为通过对学习的共享实现群体学习。
Collaboration：合作是团队学习的基础，在本课程中将通过teambition和Wiki实现这一过程。
Multidimensional study：从多个不同的方面重新认识并且定义学习
Comparison：对比学习
Illustrated by Gu Xueyong
本文
I had the class on Wednesday, to be honest, it made me confused, for I had no idea what I shall do and how. The name of the course is appealing and the central concept is novel from my perspective, thus I determined to be fully engaged in this course and figure out what I might get from it.
At the very beginning of the class, some terms were intricate, as it puzzled me how these distinct subjects or territories got correlated, some having nothing to do with others intuitively. It is the process of coping with the task that really capacitates me to get gradually understand the essence of the course which is designed to facilitate the formation of learning patterns.
What is the pattern? Of course, it is the methodology of study and can be roughly attributed to three aspects:
Multidimensional study
Multidimensional study means to integrate diverse learning sources. The sources are generalized, which comprises of learning materials, technology applied and platforms etc. Take learning quantum mechanism as an example, learning itself may be dull without interests. However when accompanied by videos and experiments, things starting get quite different. Not only the learning process becoming more absorbing, but the comprehension of the entire territory rises to an unprecedented level which is absolutely beyond my expectation.
Collaboration
collaboration plays critic part in learning process because students from different department varies from their knowledge network to their approaches to cognize, thus we can get complemented by working together.
Finally, it is contrast that really contributes to the improvement of your learning skills. Take the homework as an example. It requires us to read two literatures and list names of persons, institutions and key technologies. I read two chapters from two books, one chapter each, the first being Ecorithm (Probably approximately correct) and the second being The Route to Normal Science (the Structure of Scientific Revolution). The two chapters are designated as 1 and 2 respectively and here is the comparison.
Github
- Introduction[7]
- Mainpage[8]
- Help:git.pdf
Teambition
Comparison
Comparison does not mean comparing two irrelevant issues or references, instead it urges us to visualize things through different perceptions and form an interrelated network to reinforce our interpretation of certain concepts and theories etc.
Both books describe the revolution of science. The 1st book refers to the terms of CS while the 2nd book describes it using variable examples and facts[1]. However, both chapters are telling the same main point. The science evolves from experience and facts accumulated and gradually based on systematical learning. Learning is then divided by two categories; one is explanatory learning[1] in the 1st book (normal science or paradigm in the 2nd book), the other being machine learning (paradigm theory predictions and fact gathering). The most significant difference between these two books is their terminology that is restricted by the writers’ research territory. While Leslie Valiant utilizes words like PAC and ecorithm as evolving algorith[1], Thoma S. Kuhn stress more on the history and the development of electric and optic physics[2].
Illustrated by Gu Xueyong
Key Persons
1. John Von Neumann, Einstein, Newton, Alan Turing, Johannes Kepler. 2. Aristotle, Ptolemy, Newton, Franklin, Lavoisier, Lyell, Planck, Einstein, Hauksbee, Gray, Desaguliers, Du Fray, Nollett, Watson, Boyle, Boerhaave, Hutton, Cavendish, Coulombs and Volta.
Key Technologies
1. Computers, Einstein’s theory of general relativity, Newton’s laws, Kepler’s Laws of Planetary Obits, Alan Turing’s calculation, Turing test, Ecorithm and PAC. 2. Aristotle’s Physica, Ptolmey’s Almagest, Newton’s Principia and Opticks, Franklin’s Electricity, Lovoisier’s Chemistry, Lyell’s Geology and quantum mechanism.
Key Organizations and Constitutes
参考文献
[1]Probably Approximately Correct
[2]The Structure of Scientific Revolution
