Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton Scott Aaronson∗ Sean M. Carroll†

First Page		Document Content
Date: 2014-05-27 14:31:46 Information theory Randomness Metaphysics Theoretical computer science Theory of computation Entropy Kolmogorov complexity Sophistication Complexity Random sequence Algorithmic information theory Mutual information		Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton Scott Aaronson∗ Sean M. Carroll† Add to Reading List Source URL: www.scottaaronson.com Download Document from Source Website File Size: 1,25 MB Share Document on Facebook

	V. G. VOVK ON A CRITERION OF RANDOMNESS (Communicated by Academician A. N. Kolmogorov, This work belongs to algorithmic information theory (seeTheorem 1 shows that if some sequence is random with resp DocID: 1uGQs - View Document
	Causal Inference by Direction of Information Jilles Vreeken◦ Abstract We focus on data-driven causal inference. In particular, we propose a new principle for causal inference based on algorithmic information theory, i. DocID: 1s7E7 - View Document
	Microsoft Word - New Mechanisms Information Platform E-mail Newsletter Vol.55 DocID: 1rhiC - View Document
	Powerpoint-presentation Information and Computing Sciences DocID: 1rg8s - View Document
	Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton Scott Aaronson∗ Sean M. Carroll† DocID: 1raML - View Document