Page 17 - DCAP506_ARTIFICIAL_INTELLIGENCE

Unit 1: Introduction and Overview

and categorized. This is analogous to the idea of plan in human cognition, which permits people Notes
to recognize objects based on properties of those objects. New information offered to the neural
network can then be analyzed and recognized based on formerly inputted criteria, permitting
the system to “learn” new categories and recognize known or unknown objects.
Expert systems are artificial intelligence techniques constructed around logic and “if/then”
statements. This typically includes a great deal of information that is “taught” to the computer
system, which then makes the system an expert in a specific field. When new input is commenced
in, such as a request for processing financial reports, the expert system can examine the
information by means of these if/then statements to restrict the output response.

These different artificial intelligence techniques can be utilized to build up systems that are
considered either “strong AI” or “weak AI.” Strong AI systems are those that most completely
look for to emulate human thought and cognitive potentials through a broad range of functions.
Artificial intelligence techniques that build up weak AI systems are narrower in focus, and look
for to imitate only a single function or facet of human intelligence.

Did u know? Strong AI systems can examine new information and offer output that
potentially goes beyond the limitations of input data.

Task Illustrate the function of neural networks.
Self Assessment

Fill in the blanks:

9. ......................... are the ways that can be used to generate and produce computer programs
generally observed as forms of artificial intelligence.
10. ......................... are computer programs intended about the cognitive processes utilized by
the human brain.
11. ......................... are artificial intelligence techniques constructed around logic and “if/then”
statements.
12. ......................... systems are those that most completely look for to emulate human thought
and cognitive potentials through a broad range of functions.

13. Artificial intelligence techniques that build up ......................... systems are narrower in
focus, and look for to imitate only a single function or facet of human intelligence.

1.5 Criteria for Success

Criteria for success includes:

 Long-term: Turing Test (for Weak AI)
 As suggested by Alan Turing (1950), if a computer can make people believe it is
human (i.e., intelligent) by means of an unobstructed conversation, then it is
intelligent.
 Turing forecasted fully intelligent machines by 2000, not even close
 Loebner Prize competition, tremendously controversial

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