CT4521 Notes 09/17
Chapter 2 of Understanding Intelligence:
-Traditional cognitive outlook
-Idea that all things are not measurable in T.C. outlook(Fails to run with
-Mind as a computer metaphor = many aspects of intelligence left out.
-Decode [encode(T)(encode(X1))] = T(X1)
X1=physical entity T=operator encode(X1)=goldfish cracker 1 encode(T)=eat
decode=Eat goldfish cracker 1 -This application is consistent
-Is creation only the ability to produce diversity?
-Broad definition that covers almost everything
-Everything that is created cannot be considered creative all the time.
-Creativity linked with emotion?
-Cognitive psychology has an assumption of "algorithms operation of certain data
-Small sample = conclusion for the big picture
2)Texas Sharpe Shooter Fallacy
-Faulty reasoning based on small samples and clustered subjects
Turing Test Machine:
-Computes every conceivable probability or mathematical outcome.
-Shows "if" "then" situational outcomes
-Most basic way of understanding computer as mind metaphor.
-Limitation is the half principle.
-Other limitations are a limited amount of tape measure for the machine to run
Practical uses of AI:
-Understanding the human mind
-Technology moves on because of developing AI systems.
-Artificial parts of the mind are feasible however they couldn't actually
replace the whole human brain or even part of our personalities.
-Some parts of the brain have been replaced with artificial parts but some areas
would be impossible to replace. (Regulatory systems)
-J.L. robot could be built in the future during which many processes of the
human mind could be unlocked.
-Sense-Think-Act to emotion: Someone makes you mad, you get annoyed and angry,
and as a result you punch he or she in the mouth.
-Church-Turning thesis = everything that goes on in the mind can be done by a
Turing machine and Vise-Versa.
-It is possible that a computer can store information as we do. (functionalism)
-Human hardware=biology software=environment