Title: Intelligent Systems
1Intelligent Systems
2Content
- What is AI?
- Is a Machine Intelligent?
- History of AI
3Intelligent Systems
4What is AI?
There is no agreed definition of the term
artificial intelligence. However, there are
various definitions that have been proposed. Some
will be considered below.
5What is AI?
American Association for Artificial Intelligence
The scientific understanding of the mechanisms
underlying thought and intelligent behavior and
their embodiment in machines.
6What is AI?
American Association for Artificial Intelligence
The scientific understanding of the mechanisms
underlying thought and intelligent behavior and
their embodiment in machines.
7What is AI?
- AI is a study in which computer systems are made
that think like human beings. Haugeland, 1985
Bellman, 1978. - AI is a study in which computer systems are made
that act like people. AI is the art of creating
computers that perform functions that require
intelligence when performed by people. Kurzweil,
1990. - AI is the study of how to make computers do
things which at the moment people are better at.
Rich Knight, 1991 - AI is a study in which computers that rationally
think are made. Charniac McDermott, 1985. - AI is the study of computations that make it
possible to perceive, reason and act. Winston,
1992. - AI is the study in which systems that rationally
act are made. AI is considered to be a study that
seeks to explain and emulate intelligent
behaviour in terms of computational processes.
Schalkeoff, 1990. - AI is considered to be a branch of computer
science that is concerned with the automation of
intelligent behavior. Luger Stubblefield, 1993.
8What is AI?
The exciting new effort to make computers thinks
machine with minds, in the full and literal
sense (Haugeland 1985)
The study of mental faculties through the use of
computational models (Charniak et al. 1985)
The art of creating machines that perform
functions that require intelligence when
performed by people (Kurzweil, 1990)
A field of study that seeks to explain and
emulate intelligent behavior in terms of
computational processes (Schalkol, 1990)
9What is AI?
Systems that think like humans
Systems that think rationally
The exciting new effort to make computers thinks
machine with minds, in the full and literal
sense (Haugeland 1985)
The study of mental faculties through the use of
computational models (Charniak et al. 1985)
Systems that act like humans
Systems that act rationally
The art of creating machines that perform
functions that require intelligence when
performed by people (Kurzweil, 1990)
A field of study that seeks to explain and
emulate intelligent behavior in terms of
computational processes (Schalkol, 1990)
10Intelligent Systems
- Is a Machine Intelligent?
11Weak and Strong AI
- Weak AI
- Computers can be programmed to act as if they
were intelligent (as if they were thinking) - Strong AI
- Computers can be programmed to think (i.e. they
really are thinking)
Can machines think?
Can machines have a mind?
12Turing Test
- How can we evaluate intelligence?
- Turing 1950 a machine can be deemed intelligent
when its responses to interrogation by a human
are indistinguishable from those of a human
being.
Interrogator
13Turing Test
Turing thought that any machine which passes the
test should be considered intelligent, or more
precisely, should be considered to 'think'.
Interrogator
14Turing Test
Turing thought that any machine which passes the
test should be considered intelligent, or more
precisely, should be considered to 'think'.
Interrogator
15Turing Test
16Turing Test
Don't some people say that AI is a bad idea?
17Chinese Room Argument
- Devised by John Searle
- An argument against the possibility of true
artificial intelligence.
18Chinese Room Argument
19Chinese Room Argument
- Computer Programs are formal (syntactic)
- Human minds have mental contents (semantics)
20Chinese Room Argument
The reason that no computer program can ever be
a mind is simply that a computer program is only
syntactical, and minds are more than syntactical.
Minds are semantical, they have content. - John
Searle
21Intelligent Systems
22History of AI
- 1943 McCulloch Pitts Boolean circuit model of
brain - 1950 Turings Computing Machinery and
Intelligence - 1950s Early AI programs, including Samuels
checkers (draughts) program - Newell Simons Logic Theorist, Gelernters
Geometry Engine - 1956 Dartmouth meeting Artificial Intelligence
adopted - 196674 AI discovers computational complexity,
Neural network research
almost disappears - 196979 Early development of knowledge-based
systems - 198088 Expert systems industry booms
- 198893 Expert systems industry busts AI
Winter - 198595 Neural networks return to popularity
- 1988 Resurgence of probabilistic and
decision-theoretic methods Rapid increase in
technical depth of mainstream AI, - Nouvelle AI ALife, GAs, soft computing
23History of AI