Tic Tac Toe Chicken - pigeon smart bombs.
Survey quiz:
Choice one: Either saves 200 lives, or a 33% chance of saving all 600 people, 66% possibility of saving no one.
Choice two: 400 people will die or a 33% chance that no people will die, and 66% probability that all 600 will die.
https://pollev.com/slade This is a survey that contains all of the above questions.
>>> import random >>> dinner = list(range(1,15)) >>> dinner [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] >>> random.shuffle(dinner) >>> dinner [12, 5, 4, 13, 3, 8, 7, 11, 14, 10, 9, 1, 6, 2] >>> random.shuffle(dinner) >>> dinner [10, 11, 9, 12, 3, 6, 2, 4, 5, 13, 14, 7, 1, 8] >>> random.shuffle(dinner) >>> dinner [12, 11, 13, 8, 7, 1, 5, 4, 3, 14, 10, 9, 6, 2]
There is also a Discussions question for commenting on the speaker, available Wednesday: What did you learn from today's speaker, Dan Russell? What was the best question from the audience? Did you ask it?
Chomsky pioneered development of syntactic models of language. These models were very powerful, but largely did not work well for actual natural languages, like English. (For what languages were Chomsky's models perfect?) Chomsky dismissed this apparent failure with the assertion that his grammars accurately modeled a speaker's competence, not her perfomance. We may view economic decision theory through a similar lens. The rational camp argues for competence, while the behavioral side focuses on performance.
In AI we embrace both. "Let a hundred flowers bloom." (Who said that?) More specifically, see David Marr - multiple levels of analysis and implementation.
Also, in this course we propose a model of decision making that will not guarantee good, nevermind the best, decision. What's up with that? Think of medicine, in which most of the clinical and research effort is focused on diseases, not healthy organs and tissue. Decision making, like human health, covers a spectrum of outcomes -- the good, the bad, and the ugly. We want to understand all of it.