These are my links for September 1st through September 8th:
- How Did Economists Get It So Wrong? – NYTimes.com – What happened to the economics profession? And where does it go from here?
As I see it, the economics profession went astray because economists, as a group, mistook beauty, clad in impressive-looking mathematics, for truth. Until the Great Depression, most economists clung to a vision of capitalism as a perfect or nearly perfect system. That vision wasn’t sustainable in the face of mass unemployment, but as memories of the Depression faded, economists fell back in love with the old, idealized vision of an economy in which rational individuals interact in perfect markets, this time gussied up with fancy equations.
- Genius Is Overrated; Incremental Advances Underappreciated – A new book by W. Brian Arthur, a pioneer in the area of positive feedback in economics, argues that genius is overrated and technology drives its own innovations.
- The Statistics Homepage – This Electronic Statistics Textbook offers training in the understanding and application of statistics. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses and covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics and forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others.
- AniWiki [AniWiki: Animations in Statistics] – AniWiki aims to be a gallery for statistical animations in several subjects listed below. Most of the animations are created in the R environment. There is a special R package ''animation'' contributed by Yihui Xie ”to turn ideas into animation, quickly and faithfully”.
- Artificial Intelligence – foundations of computational agents – Artificial Intelligence: Foundations of Computational Agents is a book about the science of artificial intelligence. The view we take is that artificial intelligence is the study of the design of intelligent computational agents. The book is structured as a textbook but it is designed to be accessible to a wide audience.
