Resources and References

Project Resources:

The following resources are ones generated by this project and are open source:

Training and Reference Data: https://bias.transhumanity.net/wp-content/uploads/BiasTrainingData.zip
Classifier Codebase: https://github.com/MWaser/BiasClassifier
The Classifier: https://biasclassifier20191104104852.azurewebsites.net/

Learn more about these here: http://bias.transhumanity.net/downloads/

 

Non-Project Resources and References: 

The following resources both books and other material are useful in the study of Cognitive Bias.  If you have any other ideas or possible resources we would love to add them. [ Codex, Reference ]

 

Andrews, B.; “Cognitive Behavioral Therapy – A CBT Guide To Theories & Professional Practice;” Mar 2019; [ On Amazon ]

 

Cantwell, S.; “Bias Beware: How your mind plays tricks on you;” [ On Amazon ]

 

Cepelewicz, J.; “To Pay Attention, the Brain Uses Filters, Not a Spotlight;” Quanta Magazine; Accessed 30 SEPT 2019; https://www.quantamagazine.org/to-pay-attention-the-brain-uses-filters-not-a-spotlight-20190924/

 

Christian, B.; “Algorithms to Live By: The Computer Science of Human Decisions;” [ On Amazon ]

 

Dobelli, R.; “The Art of Thinking Clearly;” May 2014; [ On Amazon ]

 

Duneier, S.; “AlphaBrain: How a Group of Iconoclasts Are Using Cognitive Science to Advance the Business of Alpha Generation;” [ On Amazon ]

 

Fruehwald, E.; “Overcoming Cognitive Biases: Thinking More Clearly and Avoiding Manipulation by Others;” May 2017; [ On Amazon ]

 

Holm, C.; “The 25 Cognitive Biases: Uncovering The Myth Of Rational Thinking;” Aug 2015; [ On Amazon ];

 

Jacobs, A.; “How to Think: A Survival Guide for a World at Odds;” Oct 2017; [ On Amazon ]

 

Kahneman, D.; “Putting Your Intuition On Ice;” Farnam Stream Blog; https://fs.blog/daniel-kahneman/ 

 

Mitchel, M.; “Fairness;” https://developers.google.com/machine-learning/crash-course/fairness/video-lecture?fbclid=IwAR3xujv5XZ9z1GcLqcUYHoreNPFn2vo_BnQBn711_NgoT5RVl-KknwAuJj8

 

Norris, H.; “Flash Card – Cognitive Distortion: Cognitive Distortions, Bias and Fallacies;” [ On Amazon ]; May 2012

 

Priest, H.; “BIASED: 50 Powerful Cognitive Biases That Impair Our Judgment (The Psychology of Economic Decisions);” ISBN-13: 978-1071466452; ISBN-10: 1071466453 [ on Amazon ]

 

Priest, H.; “BIASES and HEURISTICS: The Complete Collection of Cognitive Biases and Heuristics That Impair Decisions in Banking, Finance and Everything Else (The Psychology of Economic Decisions);” July 2019; [ On Amazon ]

 

Saenger, V.; “Media Bias Detecting using Deep Learning Libraries in Python;” Medium; https://towardsdatascience.com/media-bias-detection-using-deep-learning-libraries-in-python-44efef4918d1

 

Sellier, A.; Scopellite, I.; Morewedge, C.; “Debiasing Training Improves Decision Making in the Field;” Psychological Science; First Published July 26, 2019; https://doi.org/10.1177/0956797619861429; Last Accessed 20 Sept 2019; https://journals.sagepub.com/doi/abs/10.1177/0956797619 

also see https://www.researchgate.net/publication/333160617_Debiasing_Training_Improves_Decision_Making_in_the_Field

 

Tavris, C.; Aronson, E.; “Mistakes Were Made (but Not by Me): Why We Justify Foolish Beliefs, Bad Decisions, and Hurtful Acts;” Oct 2015; [ On Amazon ]

 

Weinberg, G.; McCann, L.; “Super Thinking: The Big Book of Mental Models;” [ On Amazon ]

 

Wikipedia Foundation; “List of cognitive biases;” Last accessed 18 Sept 2019; https://en.wikipedia.org/wiki/List_of_cognitive_biases

 

Wikipedia Foundation; “File:Cognitive bias codex en.svg;” Last accessed 18 Sept 2019; https://commons.wikimedia.org/wiki/File:Cognitive_bias_codex_en.svg

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