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A comment on Probabilistic AI can't be AI. Parent comment
Hierarchical Bayesian Modeling of Human Decision-Making Using Wiener Diffusion http://gandalf.psych.umn.edu/users/schrater/schrater_lab/cou...
Decision Theory and Human Behavior http://www.umass.edu/preferen/Class%20Material/Bounds%20of%2...
Beyond Accuracy: How Models of Decision Making Compare to Human Decision Making http://fileadmin.cs.lth.se/cs/Personal/Carl_Christian_Rolf/c...
Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting http://papers.nips.cc/paper/5180-forgetful-bayes-and-myopic-...
>Our result shows that subjects’ choices, on a trial-to- trial basis, are best captured by a “forgetful” Bayesian iterative learning model [21] in combination with a partially myopic decision policy known as Knowledge Gradient [7].
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Hierarchical Bayesian Modeling of Human Decision-Making Using Wiener Diffusion http://gandalf.psych.umn.edu/users/schrater/schrater_lab/cou...
Decision Theory and Human Behavior http://www.umass.edu/preferen/Class%20Material/Bounds%20of%2...
Beyond Accuracy: How Models of Decision Making Compare to Human Decision Making http://fileadmin.cs.lth.se/cs/Personal/Carl_Christian_Rolf/c...
Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting http://papers.nips.cc/paper/5180-forgetful-bayes-and-myopic-...
>Our result shows that subjects’ choices, on a trial-to- trial basis, are best captured by a “forgetful” Bayesian iterative learning model [21] in combination with a partially myopic decision policy known as Knowledge Gradient [7].