2011.5.24 人間情報科学特論 Assignment 3 と Homework for May 31 Human Information Science Assignment 3 & Homework for May 31, 2011 Assignment 3 May 24, 2011 Thinking is a function of the mind to seriate, combine, separate, integrate, create, transfer and transform symbols under a limited amount of resources in the mind. Different from computers and other intelligent machines, human thinking has some characteristics that do not follow logical or mathematical consequences. They are called “biases in thinking” (思考のバイアス). Considering this background, answer any two among the following three questions. (1) People tend to trust just one representative example, and may not consider statistical distributions. List up two examples for this “representative bias”, and discuss them briefly. (2) People tend not to follow Baysian statistics, but to believe in absolute data. List up two examples for this “statistical bias”, and discuss them briefly. (3) People tend to (many times falsely) believe in “if Q is true then P is true”, when they are told that “if P is true then Q is true.” List up two examples for this “symmetry bias”, and discuss them briefly. Write up your thought in English, using at least three A4-sheet pages, and submit it by June 7, 2011, directly at the classroom or by email to [email protected]. Homework for May 31, 2011 Learning is ubiquitous, and appears at any level of cognitive phenomena, including molecules, neurons, neural organizations and minds. Considering this background, study in depth how learning occurs in human brains and minds, and how learning processes can be modeled in information processing terms. Possible cues for your study may include the following: (1)List up at least three possible experimental methods that may provide data for human learning processes. (2)Study the mechanism of the simple three-layer perceptrons and back-propagation algorithms, and point out their limitations. (3)Study the mechanism of production systems and other learnable symbol processing algorithms, and point out their limitations.
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