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Introduction to AI

AI is the reproduction of human reasoning and intelligent behavior by computational methods What is AI?

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Слайд 1Introduction to AI
Required textbook:
S. Russell and P. Norvig.
Artificial

Intelligence: A Modern Approach.
3rd edition, Prentice Hall, 2010

Introduction to AIRequired textbook: 	S. Russell and P. Norvig. 	Artificial Intelligence: A Modern Approach. 	3rd edition, Prentice

Слайд 2
AI is the reproduction of human reasoning and intelligent behavior

by computational methods
What is AI?

AI is the reproduction of human reasoning and intelligent behavior by computational methods What is AI?

Слайд 3What is AI? (R&N)
Discipline that systematizes and automates reasoning processes to

create machines that:

What is AI? (R&N)Discipline that systematizes and automates reasoning processes to create machines that:

Слайд 4The goal of AI is to create computer systems that

perform tasks regarded as requiring intelligence when done by humans

AI Methodology: Take a task at which people are better, e.g.:
Prove a theorem
Play chess
Plan a surgical operation
Diagnose a disease
Navigate in a building
and build a computer system that does it automatically
But do we want to duplicate human imperfections?
The goal of AI is to create computer systems that perform tasks regarded as requiring intelligence when

Слайд 5Here, how the computer performs tasks does matter

The reasoning steps

are important

 Ability to create and manipulate symbolic knowledge (definitions,

concepts, theorems, …)

What is the impact of hardware on low-level reasoning, e.g., to go from signals to symbols?
Here, how the computer performs tasks does matterThe reasoning steps are important Ability to create and manipulate

Слайд 6Now, the goal is to build agents that always make

the “best” decision given what is available (knowledge, time, resources)

“Best”

means maximizing the expected value of a utility function
 Connections to economics and control theory

What is the impact of self-consciousness, emotions, desires, love for music, fear of dying, etc ... on human intelligence?
Now, the goal is to build agents that always make the “best” decision given what is available

Слайд 7Can Machines Act/Think Intelligently?
“If there were machines which bore a

resemblance to our bodies and imitated our actions as closely

as possible for all practical purposes, we should still have two very certain means of recognizing that they were not real men. The first is that they could never use words, or put together signs, as we do in order to declare our thoughts to others… Secondly, even though some machines might do some things as well as we do them, or perhaps even better, they would inevitably fail in others, which would reveal that they are acting not from understanding, …”

Discourse on the Method, by Descartes (1598-1650)
Can Machines Act/Think Intelligently?“If there were machines which bore a resemblance to our bodies and imitated our

Слайд 8Turing Test:

http://plato.stanford.edu/entries/turing-test/

Test proposed by Alan Turing in 1950

The computer is

asked questions by a human interrogator. It passes the test

if the interrogator cannot tell whether the responses come from a person

Required capabilities: natural language processing, knowledge representation, automated reasoning, learning,...

No physical interaction

Chinese Room (J. Searle)

Can Machines Act/Think Intelligently?

Turing Test:http://plato.stanford.edu/entries/turing-test/Test proposed by Alan Turing in 1950The computer is asked questions by a human interrogator. It

Слайд 9An Application of the Turing Test
CAPTCHA: Completely Automatic Public Turing

tests to tell Computers and Humans Apart
E.g.:
Display visually distorted

words
Ask user to recognize these words
Example of application: have only humans open email accounts

An Application of the Turing TestCAPTCHA: Completely Automatic Public Turing tests to tell Computers and Humans ApartE.g.:

Слайд 10Can Machines Act/Think Intelligently?
Yes, if intelligence is narrowly defined as

information processing AI has made impressive achievements showing that tasks initially

assumed to require intelligence can be automated
But each success of AI seems to push further the limits of what we consider “intelligence”
Can Machines Act/Think Intelligently?Yes, if intelligence is narrowly defined as information processing  AI has made impressive

Слайд 11Some Achievements
Computers have won over world champions in several games,

including Checkers, Othello, and Chess, but still do not do

well in Go
AI techniques are used in many systems: formal calculus, video games, route planning, logistics planning, pharmaceutical drug design, medical diagnosis, hardware and software trouble-shooting, speech recognition, traffic monitoring, facial recognition, medical image analysis, part inspection, etc...
Stanford’s robotic car, Stanley, autonomously traversed 132 miles of desert
Some industries (automobile, electronics) are highly robotized, while other robots perform brain and heart surgery, are rolling on Mars, fly autonomously, …, but home robots still remain a thing of the future
Some AchievementsComputers have won over world champions in several games, including Checkers, Othello, and Chess, but still

Слайд 12Can Machines Act/Think Intelligently?
Yes, if intelligence is narrowly defined as

information processing AI has made impressive achievements showing that tasks initially

assumed to require intelligence can be automated
Maybe yes, maybe not, if intelligence is not separated from the rest of “being human”
Can Machines Act/Think Intelligently?Yes, if intelligence is narrowly defined as information processing  AI has made impressive

Слайд 13Some Big Open Questions
AI (especially, the “rational agent” approach) assumes

that intelligent behaviors are only based on information processing? Is

this a valid assumption?

If yes, can the human brain machinery solve problems that are inherently intractable for computers?

In a human being, where is the interface between “intelligence” and the rest of “human nature”, e.g.:
How does intelligence relate to emotions felt?
What does it mean for a human to “feel” that he/she understands something?

Is this interface critical to intelligence? Can there exist a general theory of intelligence independent of human beings? What is the role of the human body?
Some Big Open QuestionsAI (especially, the “rational agent” approach) assumes that intelligent behaviors are only based on

Слайд 14Some Big Open Questions
AI (especially, the “rational agent” approach) assumes

that intelligent behaviors are based on information processing? Is this

a valid assumption?

If yes, can the human brain machinery solve problems that are inherently intractable for computers?

In a human being, where is the interface between “intelligence” and the rest of “human nature”, e.g.:
How does intelligence relate to emotions felt?
What does it mean for a human to “feel” that he/she understands something?

Is this interface critical to intelligence? Can there exist a general theory of intelligence independent of human beings? What is the role of the human body?

In the movie I, Robot, the most impressive feature of the robots is not their ability to solve complex problems, but how they blend human-like reasoning with other key aspects of human beings (especially, self-consciousness, fear of dying, distinction between right and wrong)

Some Big Open QuestionsAI (especially, the “rational agent” approach) assumes that intelligent behaviors are based on information

Слайд 15AI contributes to building an information processing model of human

beings, just as Biochemistry contributes to building a model of

human beings based on bio-molecular interactions
Both try to explain how a human being operates
Both also explore ways to avoid human imperfections (in Biochemistry, by engineering new proteins and drug molecules; in AI, by designing rational reasoning methods)
Both try to produce new useful technologies
Neither explains (yet?) the true meaning of being human
AI contributes to building an information processing model of human beings, just as Biochemistry contributes to building

Слайд 16Main Areas of AI
Knowledge representation (including formal logic)
Search, especially heuristic

search (puzzles, games)
Planning
Reasoning under uncertainty, including probabilistic reasoning
Learning
Agent architectures
Robotics and

perception
Natural language processing

Search

Knowledge rep.

Planning

Reasoning

Learning

Agent

Robotics

Perception

Natural language

...

Expert
Systems

Constraint satisfaction

Main Areas of AIKnowledge representation (including formal logic)Search, especially heuristic search (puzzles, games)PlanningReasoning under uncertainty, including probabilistic

Слайд 17Bits of History
1956: The name “Artificial Intelligence” is coined
60’s: Search

and games, formal logic and theorem proving
70’s: Robotics, perception,

knowledge representation, expert systems
80’s: More expert systems, AI becomes an industry
90’s: Rational agents, probabilistic reasoning, machine learning
00’s: Systems integrating many AI methods, machine learning, reasoning under uncertainty, robotics again
Bits of History1956: The name “Artificial Intelligence” is coined60’s: Search and games, formal logic and theorem proving

Слайд 18228
222
227
Reasoning Methods in AI
Rational Agency
and Intelligent Interaction
224M
Multi-Agent Systems
224N
Natural Language Processing + Speech

Recognition and Synthesis
224S
224U
227B
General Game Playing
226
Statistical Techniques in Robotics
229
Machine Learning
Structured Probabilistic Models
157
Logic

& Automated Reasoning
228222227Reasoning  Methods in AIRational Agencyand Intelligent Interaction224MMulti-Agent Systems224NNatural Language Processing + Speech Recognition and Synthesis224S224U227BGeneral Game

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