人間情報科学特論 Assignment 2 と Homework for May 17 Human

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.