Four short links: 27 December 2019
Algorithmic Puzzles, Publishing, Microtask Programming, AI Introduction
- Algorithmic Puzzles: History, Taxonomies, and Applications in Human Problem Solving — The paper concerns an important but underappreciated genre of algorithmic puzzles, explaining what these puzzles are, reviewing milestones in their long history, and giving two different ways to classify them. Also covered are major applications of algorithmic puzzles in cognitive science research, with an emphasis on insight problem solving, and the advantages of algorithmic puzzles over some other classes of problems used in insight research. The author proposes adding algorithmic puzzles as a separate category of insight problems, suggests 12 specific puzzles that could be useful for research in insight problem solving, and outlines several experiments dealing with other cognitive aspects of solving algorithmic puzzles.
- b-ber — both a method and an application for producing publications in a variety of formats—EPUB 3, Mobi/KF8, static website, PDF, and XML file, which can be imported into InDesign for print layouts—from a single source that consists of plain-text files and other assets. b-ber also functions as a browser-based EPUB reader, which explains the name.
- Microtask Programming — To more effectively harness potential contributions from the crowd, we propose a method for programming in which work occurs entirely through microtasks, offering contributors short, self-contained tasks such as implementing part of a function or updating a call site invoking a function to match a change made to the function. In microtask programming, microtasks involve changes to a single artifact, are automatically generated as necessary by the system, and nurture quality through iteration.
- Elements of AI — a series of free online courses created by Reaktor and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace. Super high-level but also super-accessible, so something to give to non-coders who are curious.