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Some concept of Artificial Intelligence are Agents and Problem Solving, Autonomy, Programs, Classical and Modern Planning, First-Order Logic, Resolution Theorem Proving, Search Strategies, Structure Learning. Main points of this lecture are: Introduction, Artificial Intelligence, Intelligence, Something Difficult, Dispenser, Intelligence, Achieved By a Machine, Disregard, Prosthetics, Symbiosis
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Conception of Knowledge
5
Information Equality p = c p if and only if SI c
Austin = Capital of Texas
p => r (p IMPLIES r) judgment if City = Austin then the best restaurant is
An implication or a sound judgment (justified belief)
Product of experience or from a committed selection with the available information
A working hypothesis to be corroborated by the scientific method
A fact, true data (previously corroborated) o given as a postulate
7
Feedback and Cybernetics
Algorithms, Functions and Relations (Truth Processing)
Symbolical and Reasoning IF antecedent THEN consequence
Learning and Adaptation
Common Sense and Concept Generation
10
B
B
B
A breakthrough reflects
a new form not seen before
R E T A M
AI history using the BRETAM model adapted from Gaines
11
Digital^ B^ R^ T circuits
E A M
Hardware B R E T A M
Autonomy B R E
Acquisition B R E T
Cooperation (^) B R E
M
A M
T A M
T A M
R E T A M
1940 1948 1956 1964 1972 1980 1988 1996 2004 2012 2020 2028 2036 2044 Generations^0 1 2
1988^ throw away
research
2004
Interaction B R E T A M
knowledge B R E T A
Software B R E T A M
Collaboration B
1972^ invention
1980^ innovative
low cost
(^1996) line 1972
Cognitive Sciences
Computing Sciences
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