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Algorithmic complexity for psychology: A user-friendly implementation of the coding theorem method

Kolmogorov-Chaitin complexity has long been believed to be unapproachable when it comes to short sequences (e.g. of length 5-50). However, with the newly developed coding theorem method the complexity of strings of length 2-11 can now be numerically estimated. We present the theoretical basis of algorithmic complexity for short strings (ACSS) and describe an R-package providing functions based on ACSS that will cover psychologists' needs and improve upon previous methods in three ways: (1) ACSS is now available not only for binary strings, but for strings based on up to 9 different symbols, (2) ACSS no longer requires time-consuming computing, and (3) a new approach based on ACSS gives access to an estimation of the complexity of strings of any length. Finally, three illustrative examples show how these tools can be applied to psychology.


Via Alessandro Cerboni
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It is what I was searching, it's very interesting!

 

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Blended Learning for Corporate Training - eLearning Industry

Blended Learning for Corporate Training - eLearning Industry | Flipped Classroom nella formazione aziendale | Scoop.it
Are you interested to Blend your Corporate Training? You are more than welcome to check the Blended Learning for Corporate Training article to find how.
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The best reasons to use a type of blended learning for corporate training

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Benefits of Using e-Learning For Corporate Training | iSpring Blog

Benefits of Using e-Learning For Corporate Training | iSpring Blog | Flipped Classroom nella formazione aziendale | Scoop.it
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Benefits of using E-learning for corporate training

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Top 9 Online Corporate Training Mistakes You Should Avoid - eLearning Industry

Top 9 Online Corporate Training Mistakes You Should Avoid - eLearning Industry | Flipped Classroom nella formazione aziendale | Scoop.it
Before develop your next online corporate training course, have a look at this list of the top 9 online corporate training mistakes that you should avoid.
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The mean Mistakes in Online Corporate Training

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