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good one, I accept it :) edit: so you think human intelligence is mainly a probability machine?

by middayc 13y ago

mindcrime 13y ago
My personal suspicion is that it's an ensemble approach involving both probabilistic and symbolic methods. But I think that human intelligence is largely driven by probabilistic methods. But, I also "am not an AI/ML anything", I just read a lot on the subject and think about it a lot.
chomsky 13y ago
I don't really want to discourage teenagers from public writing, but if you're really confused about why this is being negatively received... The most glaring thing: your three argumentative points could be simultaneously true and the assertion "Probabilistic AI can't be AI" could still be false.
nabla9 13y ago
Something to read: Hierarchical Bayesian Modeling of Human Decision-Making Using Wiener Diffusion http://gandalf.psych.umn.edu/users/schrater/schrater_lab/courses/Labmeeting/LeeEtAl_2007.pdf http://gandalf.psych.umn.edu/users/schrater/schrater_lab/cou... Decision Theory and Human Behavior http://www.umass.edu/preferen/Class%20Material/Bounds%20of%20Reason/BOR%20Decision%20Theory%20and%20Human%20Behavior.pdf 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/ccr-msccog.pdf 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-planning-human-learning-and-decision-making-in-a-bandit-setting.pdf 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].

good one, I accept it :) edit: so you think human intelligence is mainly a probability machine?

by middayc 13y ago

good one, I accept it :) edit: so you think human intelligence is mainly a probability machine?

My personal suspicion is that it's an ensemble approach involving both probabilistic and symbolic methods. But I think that human intelligence is largely driven by probabilistic methods. But, I also "am not an AI/ML anything", I just read a lot on the subject and think about it a lot.

chomsky 13y ago

I don't really want to discourage teenagers from public writing, but if you're really confused about why this is being negatively received... The most glaring thing: your three argumentative points could be simultaneously true and the assertion "Probabilistic AI can't be AI" could still be false.

nabla9 13y ago

Something to read: Hierarchical Bayesian Modeling of Human Decision-Making Using Wiener Diffusion http://gandalf.psych.umn.edu/users/schrater/schrater_lab/courses/Labmeeting/LeeEtAl_2007.pdf http://gandalf.psych.umn.edu/users/schrater/schrater_lab/cou... Decision Theory and Human Behavior http://www.umass.edu/preferen/Class%20Material/Bounds%20of%20Reason/BOR%20Decision%20Theory%20and%20Human%20Behavior.pdf 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/ccr-msccog.pdf 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-planning-human-learning-and-decision-making-in-a-bandit-setting.pdf 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].