CSE473:$$ Ar+ficial$Intelligence$ - University of Washington · WhatCan$AIDo?$...
Transcript of CSE473:$$ Ar+ficial$Intelligence$ - University of Washington · WhatCan$AIDo?$...
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CSE 473: Ar+ficial Intelligence
Hanna Hajishirzi
h;p://www.cs.washington.edu/cse473/14sp/
Several slides from Luke Ze;lemoyer, Dan Klein, Dan Weld, Stuart Russell, Andrew Moore
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What is CSE 473? Textbook: • Ar+ficial Intelligence: A Modern
Approach, Russell and Norvig (3rd ed)
Prerequisites: • Data Structures (CSE 326 or CSE 322)
or equivalent • Basic exposure to probability, data
structures, and logic Work: • Readings, • Programming assignment (50%), • Wri;en assignments (20%), • Final Exam (25%), • Class par+cipa+on (5%)
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Course Staff • Instructor:
• Hanna Hajishirzi Research: AI, NLP, ML, Reasoning
• TAs: • Svetoslav Kolev • Yunyi Song • Johnson Goh
• Course Overload: • Write your name on the overload request form if you are not
registered
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Today • What is ar+ficial intelligence (AI)?
• What can AI do?
• What is this course?
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What is AI?
Science of making intelligent machines or computer programs
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Think like humans
Think rationally
Act like humans
Act rationally
The science of making machines that:
What Is AI?
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Ra+onal Decisions
We’ll use the term ra#onal in a par+cular way: • Ra+onal: maximally achieving pre-‐defined goals
• Ra+onal only concerns what decisions are made (not the thought process behind them)
• Goals are expressed in terms of the u+lity of outcomes
• Being ra+onal means maximizing your expected u+lity
A better title for this course would be:
Computational Rationality
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Can We Build It? 1011 neurons
1014 synapses cycle time: 10-3 sec
109 transistors 1012 bits of RAM
cycle time: 10-9 sec
vs.
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A (Short) History of AI • Prehistory • 1940-‐1950: Early days • 1950—70: Excitement: Look, Ma, no hands! • 1970—88: Knowledge-‐based approaches • 1988—: Sta+s+cal approaches • 2000—: Where are we now?
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Prehistory
and
• Logical Reasoning: (4th C BC+) Aristotle, George Boole, Go;lob Frege, Alfred Tarski
• Probabilis+c Reasoning: (16th C+) Gerolamo Cardano, Pierre Fermat, James Bernoulli, Thomas Bayes
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1940-‐1950: Early Days
I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed... -Alan Turing
• 1943: McCulloch & Pi;s: Boolean circuit model of brain
• 1950: Turing's “Compu+ng Machinery and Intelligence”
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The Turing Test • Turing (1950) “Compu+ng machinery and intelligence”
• “Can machines think?” à “Can machines behave intelligently?” • The Imita+on Game:
• Suggested major components of AI: knowledge,
reasoning, language understanding, learning
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1950-‐1970: Excitement
“Over Christmas, Allen Newell and I created a thinking machine.”" -Herbert Simon!
• 1950s: Early AI programs including • Samuel's checkers program, • Newell & Simon's Logic Theorist, • Gelernter's Geometry Engine
• 1956: Dartmouth meeting: “Artificial Intelligence” adopted
• 1965: Robinson's complete algorithm for logical reasoning
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1970-‐1980: Knowledge Based Systems
The knowledge engineer prac+ces the art of bringing the principles and tools of AI research to bear on difficult applica+ons problems requiring experts’ knowledge for their solu+on. -‐ Edward Felgenbaum in “The Art of Ar+ficial Intelligence”
• 1969-‐79: Early development of knowledge-‐based systems
• 1980-‐88: Expert systems industry booms
• 1988-‐93: Expert systems industry busts • “AI Winter”
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1988-‐-‐: Sta+s+cal Approaches
• 1985-1990: Probability and Decision Theory win • Pearl, Bayes Nets
• 1990-2000: Machine learning takes over subfields: Vision, Natural Language, etc.
• Agents, uncertainty, and learning systems… • “AI Spring”?
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What Can AI Do? Quiz: Which of the following can be done at present?
• Play a decent game of Soccer? • Play a winning game of Chess? Go? Jeopardy? • Drive safely along a curving mountain road? University Way? • Buy a week's worth of groceries on the Web? At QFC? • Make a car? Make a cake? • Discover and prove a new mathema+cal theorem? • Perform a complex surgical opera+on? • Translate Chinese into English in real +me?
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Robocup
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What Can AI Do? Quiz: Which of the following can be done at present? ✓ Play a decent game of Soccer? • Play a winning game of Chess? Go? Jeopardy? • Drive safely along a curving mountain road? University Way? • Buy a week's worth of groceries on the Web? At QFC? • Make a car? Make a cake? • Discover and prove a new mathema+cal theorem? • Perform a complex surgical opera+on? • Translate Chinese into English in real +me?
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State of the Art
Saying Deep Blue doesn’t really think about chess is like saying an airplane doesn’t really fly
because it doesn’t flap its wings.
– Drew McDermo3
“I could feel – I could smell – a new kind of intelligence
across the table” -Gary Kasparov
May 1997
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Other Games?
20
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What Can AI Do? Quiz: Which of the following can be done at present?
✓ Play a decent game of Soccer? ✓ Play a winning game of Chess? Go? Jeopardy? • Drive safely along a curving mountain road? University Way? • Buy a week's worth of groceries on the Web? At QFC? • Make a car? Make a cake? • Discover and prove a new mathema+cal theorem? • Perform a complex surgical opera+on? • Translate Chinese into English in real +me?
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Google Car
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What Can AI Do? Quiz: Which of the following can be done at present?
✓ Play a decent game of Soccer? ✓ Play a winning game of Chess? Go? Jeopardy? ✓ Drive safely along a curving mountain road? University Way? • Buy a week's worth of groceries on the Web? • Buy a week’s worth of groceries at QFC? • Make a car? Make a cake? • Discover and prove a new mathema+cal theorem? • Perform a complex surgical opera+on? • Translate Chinese into English in real +me?
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What Can AI Do? Quiz: Which of the following can be done at present?
✓ Play a decent game of Soccer? ✓ Play a winning game of Chess? Go? Jeopardy? ✓ Drive safely along a curving mountain road? University Way? • Buy a week's worth of groceries on the Web? • Buy a week’s worth of groceries at QFC? • Make a car? Make a cake? • Discover and prove a new mathema+cal theorem? • Perform a complex surgical opera+on? • Translate Chinese into English in real +me?
✓ ✗
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What Can AI Do? Quiz: Which of the following can be done at present?
✓ Play a decent game of Soccer? ✓ Play a winning game of Chess? Go? Jeopardy? ✓ Drive safely along a curving mountain road? University Way? • Buy a week's worth of groceries on the Web? • Buy a week’s worth of groceries at QFC? • Make a car? Make a cake? • Discover and prove a new mathema+cal theorem? • Perform a complex surgical opera+on? • Translate Chinese into English in real +me?
✓ ✗ ✓
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Mathema+cal Calcula+on
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What Can AI Do? Quiz: Which of the following can be done at present?
✓ Play a decent game of Soccer? ✓ Play a winning game of Chess? Go? Jeopardy? ✓ Drive safely along a curving mountain road? University Way? • Buy a week's worth of groceries on the Web? • Buy a week’s worth of groceries at QFC? • Make a car? Make a cake? • Discover and prove a new mathema+cal theorem? • Perform a complex surgical opera+on? • Translate Chinese into English in real +me?
✓ ✗ ✓ ✓
✓ ✗
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Different Research Areas in AI
• Natural Language Processing • Computer Vision • Robotics • Logic • Decision Making • Game Playing
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Natural Language Processing
• Speech Technologies (e.g., Siri): • Automatic Speech Recognition (ASR) • Text-to-speech synthesis • Dialog Systems
• Language Technologies: • Question answering • Machine translation • Text classification; spam filtering; etc
Natural#Language#
! Speech#technologies#(e.g.#Siri)#! Automa)c#speech#recogni)on#(ASR)#! TextBtoBspeech#synthesis#(TTS)#! Dialog#systems#
! Language#processing#technologies#! Ques)on#answering#! Machine#transla)on#
##
! Web#search#! Text#classifica)on,#spam#filtering,#etc…#
Natural#Language#
! Speech#technologies#(e.g.#Siri)#! Automa)c#speech#recogni)on#(ASR)#! TextBtoBspeech#synthesis#(TTS)#! Dialog#systems#
! Language#processing#technologies#! Ques)on#answering#! Machine#transla)on#
##
! Web#search#! Text#classifica)on,#spam#filtering,#etc…#
Natural#Language#
! Speech#technologies#(e.g.#Siri)#! Automa)c#speech#recogni)on#(ASR)#! TextBtoBspeech#synthesis#(TTS)#! Dialog#systems#
! Language#processing#technologies#! Ques)on#answering#! Machine#transla)on#
##
! Web#search#! Text#classifica)on,#spam#filtering,#etc…#
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Vision
• Object Recognition • Scene Classification • Image Segmentation • Human Activity Recognition
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Object Recognition
Scene ���Segmentation
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Google Goggles
Smile Detection Leaf Snap
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To Do:
• Look at the course website: h;p://www.cs.washington.edu/cse473/14sp/
• Do the python tutorial