The Singularity, the MiniMaxularity, and Human Development (Part II)
|
|
- Oswald Daniels
- 5 years ago
- Views:
Transcription
1 The Singularity, the MiniMaxularity, and Human Development (Part II) Selmer Bringsjord & Alexander Bringsjord Are Humans Rational? 10/12/17
2 The Singularity, the MiniMaxularity, and Human Development (Part II) Selmer Bringsjord & Alexander Bringsjord Are Humans Rational? 10/12/17
3 Last time: The Singularity Approaches... (Good-Chalmers Argument) (Kurzweil is an extrapolationist. )
4 Last time: A Realistic Timeline seen foreseeable claimed Deep Blue Watson AI MiniMax AI <HI Sing AI =HI AI >HI past present future AlphaGo
5 Last time: A Realistic Timeline seen foreseeable claimed Deep Blue Watson AI MiniMax AI <HI Sing AI =HI AI >HI past present future AlphaGo
6 ? Entscheidungsproblem 350 BC Euclid 300 BC Organon Universal Computational Logic 1666 Leibniz 1854 Logic Theorist (birth of modern logicist AI) 1956 Simon 2017 Intro to RPI 2020 T h e S i n g u l a r it y? Frege Exceeds Leibniz & de-mystifies Euclid: the compellingness of these proofs consists in their being, at bottom, formal proofs in first-order logic (FOL). Church Turing Post
7 350 BC Euclid Frege 300 BC Organon Universal Computational Logic 1666 Leibniz Exceeds Leibniz & de-mystifies Euclid: the compellingness of these proofs consists in their being, at bottom, formal proofs in first-order logic (FOL). Entscheidungsproblem 1854? Logic Theorist (birth of modern logicist AI) 1956 Simon Church Turing Post 2017 Intro to RPI 2020 Here s what a computer is, and given that, sorry, the Entscheidungsproblem can t be solved by such a machine! T h e S i n g u l a r it y?
8 The Problem: We re Ignoring the Mathematics! Analytical Super-Serious Hierarchy Human Cognitive Power Arithmetical Serious Human Hierarchy Cognitive Power Mere Polynomial Calculative Hierarchy Cognitive Power Jeopardy!: Watson Chess: Deep Blue Checkers: Chinook Go: AlphaGo Entscheidungsproblem Today s Machine Learning P NP PSPACE = NPSPACE EXPTIME NEXPTIME EXPSPACE
9 The Problem: We re Ignoring the Mathematics! Analytical Super-Serious Hierarchy Human Cognitive Power Arithmetical Serious Human Hierarchy Cognitive Power Mere Polynomial Calculative Hierarchy Cognitive Power Jeopardy!: Watson Chess: Deep Blue Checkers: Chinook Go: AlphaGo Entscheidungsproblem Today s Machine Learning P NP PSPACE = NPSPACE EXPTIME NEXPTIME EXPSPACE
10 Yeah, but what is the Entscheidungsproblem??
11 Yeah, but what is the Entscheidungsproblem?? Please read & study on your own using WWW.
12 A Realistic Timeline seen foreseeable claimed Deep Blue Watson AI MiniMax AI <HI Sing AI =HI AI >HI past present future AlphaGo
13 A Realistic Timeline seen foreseeable claimed Deep Blue Watson AI MiniMax AI <HI Sing AI =HI AI >HI past present future AlphaGo
14 Today A Realistic Timeline seen foreseeable claimed Deep Blue Watson AI MiniMax AI <HI Sing AI =HI AI >HI past present future AlphaGo
15 Today A Realistic Timeline seen foreseeable claimed Deep Blue Watson AI MiniMax AI <HI Sing AI =HI AI >HI past present future AlphaGo
16 Today A Realistic Timeline seen foreseeable claimed Deep Blue Watson AI MiniMax AI <HI Sing AI =HI AI >HI past present future AlphaGo
17 A Realistic Timeline Today seen foreseeable claimed Deep Blue Watson AI MiniMax AI <HI Sing AI =HI AI >HI past present future AlphaGo
18 A Realistic Timeline Today seen foreseeable claimed Deep Blue Watson AI MiniMax AI <HI Sing AI =HI AI >HI past present future AlphaGo
19 Recall Your Required (Quick) Reading The_Future_of_Employment.pdf SBringsjord_ABringsjord_SingularityBiz_ pdf
20 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)?
21 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler
22 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Herbert Simon
23 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Jim Albus Herbert Simon
24 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Jim Albus Herbert Simon Leontief & Duchin (automation)
25 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Jim Albus Nils Nilsson Herbert Simon Leontief & Duchin (automation)
26 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Jim Albus Nils Nilsson James Miller Herbert Simon Leontief & Duchin (automation)
27 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Jim Albus Nils Nilsson James Miller Herbert Simon Leontief & Duchin (automation) Brynjolfsson & McAfee
28 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Jim Albus Nils Nilsson James Miller Herbert Simon Leontief & Duchin (automation) Brynjolfsson & McAfee Bill Gates ( Tax the robots! Really.)
29 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Jim Albus Nils Nilsson James Miller Herbert Simon Leontief & Duchin (automation) Brynjolfsson & McAfee Bill Gates ( Tax the robots! Really.) S Bringsjord, J Johnson, A Bringsjord
30 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Jim Albus Nils Nilsson James Miller Herbert Simon Leontief & Duchin (automation) Brynjolfsson & McAfee Bill Gates ( Tax the robots! Really.) S Bringsjord, J Johnson, A Bringsjord
31 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Jim Albus Nils Nilsson James Miller Herbert Simon Leontief & Duchin (automation) Brynjolfsson & McAfee Bill Gates ( Tax the robots! Really.) S Bringsjord, J Johnson, A Bringsjord
32 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Jim Albus Nils Nilsson James Miller Herbert Simon Leontief & Duchin (automation) Brynjolfsson & McAfee Bill Gates ( Tax the robots! Really.) S Bringsjord, J Johnson, A Bringsjord
33 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Jim Albus Nils Nilsson James Miller Herbert Simon Leontief & Duchin (automation) Brynjolfsson & McAfee Bill Gates ( Tax the robots! Really.) S Bringsjord, J Johnson, A Bringsjord
34 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Jim Albus Nils Nilsson James Miller Herbert Simon Leontief & Duchin (automation) Brynjolfsson & McAfee Bill Gates ( Tax the robots! Really.) S Bringsjord, J Johnson, A Bringsjord
35 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Jim Albus Nils Nilsson James Miller Herbert Simon Leontief & Duchin (automation) Brynjolfsson & McAfee Bill Gates ( Tax the robots! Really.) S Bringsjord, J Johnson, A Bringsjord
36 Who else has seriously thought about the AI-Dis/employment question (or at least aspects thereof)? Kelso & Adler Jim Albus Nils Nilsson James Miller Herbert Simon Leontief & Duchin (automation) Brynjolfsson & McAfee Bill Gates ( Tax the robots! Really.) S Bringsjord, J Johnson, A Bringsjord
37 A Realistic Timeline seen foreseeable claimed Deep Blue Watson AI MiniMax AI <HI Sing AI =HI AI >HI past present future
38 A Realistic Timeline creativity seen foreseeable claimed Deep Blue Watson AI MiniMax AI <HI Sing AI =HI AI >HI past present future
39 A Realistic Timeline creativity seen foreseeable claimed $? Deep Blue Watson AI MiniMax AI <HI Sing AI =HI AI >HI past present future
40 A Realistic Timeline creativity seen foreseeable claimed $? Deep Blue Watson AI MiniMax AI <HI Sing AI =HI AI >HI past present future
Could an AI Ever Be the World s Best Crossword Puzzle Solver?
Could an AI Ever Be the World s Best Crossword Puzzle Solver? Selmer Bringsjord with help from Dr Atriya Sen Rensselaer AI & Reasoning (RAIR) Lab Department of Cognitive Science Department of Computer
More informationCSCI 1590 Intro to Computational Complexity
CSCI 1590 Intro to Computational Complexity Parallel Computation and Complexity Classes John Savage Brown University April 13, 2009 John Savage (Brown University) CSCI 1590 Intro to Computational Complexity
More informationThe Singularity Business
The Singularity Business Toward a Realistic, Fine-grained Economics for an AI-Infused World Selmer Bringsjord Dept of Cognitive Science; Dept of Computer Science Lally School of Management Rensselaer Polytechnic
More informationArtificial Intelligence
Artificial Intelligence (Sistemas Inteligentes) Pedro Cabalar Depto. Computación Universidade da Coruña, SPAIN Chapter 1. Introduction Pedro Cabalar (UDC) ( Depto. AIComputación Universidade da Chapter
More informationArtificial Intelligence CS365. Amitabha Mukerjee
Artificial Intelligence CS365 Amitabha Mukerjee What is intelligence Acting humanly: Turing Test Turing (1950) "Computing machinery and intelligence": "Can machines think?" Imitation Game Acting humanly:
More informationRensselaer AI & Reasoning (RAIR) Lab
RAIR Lab Selmer Bringsjord Department of Cognitive Science Department of Computer Science Lally School of Management Rensselaer AI & Reasoning (RAIR) Lab Rensselaer Polytechnic Institute (RPI) Troy NY
More informationWhat is Artificial Intelligence? Alternate Definitions (Russell + Norvig) Human intelligence
CSE 3401: Intro to Artificial Intelligence & Logic Programming Introduction Required Readings: Russell & Norvig Chapters 1 & 2. Lecture slides adapted from those of Fahiem Bacchus. What is AI? What is
More informationUNIT 13A AI: Games & Search Strategies
UNIT 13A AI: Games & Search Strategies 1 Artificial Intelligence Branch of computer science that studies the use of computers to perform computational processes normally associated with human intellect
More informationOracle Turing Machine. Kaixiang Wang
Oracle Turing Machine Kaixiang Wang Pre-background: What is Turing machine Oracle Turing Machine Definition Function Complexity Why Oracle Turing Machine is important Application of Oracle Turing Machine
More informationCSC384 Intro to Artificial Intelligence* *The following slides are based on Fahiem Bacchus course lecture notes.
CSC384 Intro to Artificial Intelligence* *The following slides are based on Fahiem Bacchus course lecture notes. Artificial Intelligence A branch of Computer Science. Examines how we can achieve intelligent
More informationIntroduction to AI. What is Artificial Intelligence?
Introduction to AI Instructor: Dr. Wei Ding Fall 2009 1 What is Artificial Intelligence? Views of AI fall into four categories: Thinking Humanly Thinking Rationally Acting Humanly Acting Rationally The
More informationIntroduction and History of AI
15-780 Introduction and History of AI J. Zico Kolter January 13, 2014 1 What is AI? 2 Some classic definitions Buildings computers that... Think like humans Act like humans Think rationally Act rationally
More informationOutline. What is AI? A brief history of AI State of the art
Introduction to AI Outline What is AI? A brief history of AI State of the art What is AI? AI is a branch of CS with connections to psychology, linguistics, economics, Goal make artificial systems solve
More informationOnly a Technology Triad Can Tame Terror
Only a Technology Triad Can Tame Terror Selmer Bringsjord Rensselaer AI & Reasoning (RAIR) Lab Department of Cognitive Science Department of Computer Science Rensselaer Polytechnic Institute (RPI) Troy
More informationBrain-inspired information processing: Beyond the Turing machine
Brain-inspired information processing: Beyond the Turing machine Herbert Jaeger Jacobs University Bremen Part 1: That is Computing! Turing computability Image sources are given on last slide Deep historical
More informationCS415 Human Computer Interaction
CS415 Human Computer Interaction Lecture 11 Advanced HCI Intro to Cognitive Models November 3, 2016 Sam Siewert Assignments Assignment #5 Propose Group Project (Groups of 3) Assignment #6 Project Final
More informationLecture 1 Introduction to AI
Lecture 1 Introduction to AI Kristóf Karacs PPKE-ITK Questions? What is intelligence? What makes it artificial? What can we use it for? How does it work? How to create it? How to control / repair / improve
More informationCMSC 372 Artificial Intelligence. Fall Administrivia
CMSC 372 Artificial Intelligence Fall 2017 Administrivia Instructor: Deepak Kumar Lectures: Mon& Wed 10:10a to 11:30a Labs: Fridays 10:10a to 11:30a Pre requisites: CMSC B206 or H106 and CMSC B231 or permission
More informationUnethical but Rule-Bound Robots Would Kill Us All
Unethical but Rule-Bound Robots Would Kill Us All Selmer Bringsjord Rensselaer AI & Reasoning (RAIR) Lab Department of Cognitive Science Department of Computer Science Rensselaer Polytechnic Institute
More informationLecture 1 What is AI? EECS 348 Intro to Artificial Intelligence Doug Downey
Lecture 1 What is AI? EECS 348 Intro to Artificial Intelligence Doug Downey Outline 1) What is AI: The Course 2) What is AI: The Field 3) Why to take the class (or not) 4) A Brief History of AI 5) Predict
More informationIntro to Artificial Intelligence Lecture 1. Ahmed Sallam { }
Intro to Artificial Intelligence Lecture 1 Ahmed Sallam { http://sallam.cf } Purpose of this course Understand AI Basics Excite you about this field Definitions of AI Thinking Rationally Acting Humanly
More informationApril 25, Competing and cooperating with AI. Pantelis P. Analytis. Human behavior in Chess. Competing with AI. Cooperative machines?
April 25, 2018 1 / 47 1 2 3 4 5 6 2 / 47 The case of chess 3 / 47 chess The first stage was the orientation phase, in which the subject assessed the situation determined a very general idea of what to
More informationGoals of this Course. CSE 473 Artificial Intelligence. AI as Science. AI as Engineering. Dieter Fox Colin Zheng
CSE 473 Artificial Intelligence Dieter Fox Colin Zheng www.cs.washington.edu/education/courses/cse473/08au Goals of this Course To introduce you to a set of key: Paradigms & Techniques Teach you to identify
More informationUNIT 13A AI: Games & Search Strategies. Announcements
UNIT 13A AI: Games & Search Strategies 1 Announcements Do not forget to nominate your favorite CA bu emailing gkesden@gmail.com, No lecture on Friday, no recitation on Thursday No office hours Wednesday,
More informationArtificial Intelligence
Politecnico di Milano Artificial Intelligence Artificial Intelligence What and When Viola Schiaffonati viola.schiaffonati@polimi.it What is artificial intelligence? When has been AI created? Are there
More informationCS6700: The Emergence of Intelligent Machines. Prof. Carla Gomes Prof. Bart Selman Cornell University
EMERGENCE OF INTELLIGENT MACHINES: CHALLENGES AND OPPORTUNITIES CS6700: The Emergence of Intelligent Machines Prof. Carla Gomes Prof. Bart Selman Cornell University Artificial Intelligence After a distinguished
More informationArtificial Intelligence. An Introductory Course
Artificial Intelligence An Introductory Course 1 Outline 1. Introduction 2. Problems and Search 3. Knowledge Representation 4. Advanced Topics - Game Playing - Uncertainty and Imprecision - Planning -
More informationComputer Science and Philosophy Information Sheet for entry in 2018
Computer Science and Philosophy Information Sheet for entry in 2018 Artificial intelligence (AI), logic, robotics, virtual reality: fascinating areas where Computer Science and Philosophy meet. There are
More informationWhat's involved in Intelligence?
AI Methodology Theoretical aspects Mathematical formalizations, properties, algorithms Engineering aspects The act of building (useful) machines Empirical science Experiments What's involved in Intelligence?
More informationOverview. Pre AI developments. Birth of AI, early successes. Overwhelming optimism underwhelming results
Help Overview Administrivia History/applications Modeling agents/environments What can we learn from the past? 1 Pre AI developments Philosophy: intelligence can be achieved via mechanical computation
More informationCS360: AI & Robotics. TTh 9:25 am - 10:40 am. Shereen Khoja 8/29/03 CS360 AI & Robotics 1
CS360: AI & Robotics TTh 9:25 am - 10:40 am Shereen Khoja shereen@pacificu.edu 8/29/03 CS360 AI & Robotics 1 Artificial Intelligence v We call ourselves Homo sapiens v What does this mean? 8/29/03 CS360
More informationPropositional Calculus II: More Rules of Inference, Application to Additional Motivating Problems
Propositional Calculus II: More Rules of Inference, Application to Additional Motivating Problems Selmer Bringsjord Rensselaer AI & Reasoning (RAIR) Lab Department of Cognitive Science Department of Computer
More informationGame Playing. Garry Kasparov and Deep Blue. 1997, GM Gabriel Schwartzman's Chess Camera, courtesy IBM.
Game Playing Garry Kasparov and Deep Blue. 1997, GM Gabriel Schwartzman's Chess Camera, courtesy IBM. Game Playing In most tree search scenarios, we have assumed the situation is not going to change whilst
More informationWhat's involved in Intelligence?
AI Methodology Theoretical aspects Mathematical formalizations, properties, algorithms Engineering aspects The act of building (useful) machines Empirical science Experiments What's involved in Intelligence?
More informationCSE 473 Artificial Intelligence (AI)
CSE 473 Artificial Intelligence (AI) Rajesh Rao (Instructor) Jennifer Hanson (TA) Evan Herbst (TA) http://www.cs.washington.edu/473 Based on slides by UW CSE AI faculty, Dan Klein, Stuart Russell, Andrew
More informationRandom Administrivia. In CMC 306 on Monday for LISP lab
Random Administrivia In CMC 306 on Monday for LISP lab Artificial Intelligence: Introduction What IS artificial intelligence? Examples of intelligent behavior: Definitions of AI There are as many definitions
More informationCSIS 4463: Artificial Intelligence. Introduction: Chapter 1
CSIS 4463: Artificial Intelligence Introduction: Chapter 1 What is AI? Strong AI: Can machines really think? The notion that the human mind is nothing more than a computational device, and thus in principle
More informationArtificial Intelligence A Very Brief Overview of a Big Field
Artificial Intelligence A Very Brief Overview of a Big Field Notes for CSC 100 - The Beauty and Joy of Computing The University of North Carolina at Greensboro Reminders Blown to Bits Chapter 5 or 6: Contribute
More information22c:145 Artificial Intelligence
22c:145 Artificial Intelligence Fall 2005 Introduction Cesare Tinelli The University of Iowa Copyright 2001-05 Cesare Tinelli and Hantao Zhang. a a These notes are copyrighted material and may not be used
More informationLogicist Machine Ethics Can Save Us
Logicist Machine Ethics Can Save Us Selmer Bringsjord et al. Rensselaer AI & Reasoning (RAIR) Lab Department of Cognitive Science Department of Computer Science Lally School of Management & Technology
More informationIntroduction to Artificial Intelligence: cs580
Office: Nguyen Engineering Building 4443 email: zduric@cs.gmu.edu Office Hours: Mon. & Tue. 3:00-4:00pm, or by app. URL: http://www.cs.gmu.edu/ zduric/ Course: http://www.cs.gmu.edu/ zduric/cs580.html
More informationThese are the slides accompanying the book Artificial Intelligence and Games through the gameaibook.org website
These are the slides accompanying the book Artificial Intelligence and Games through the gameaibook.org website 1 Some reasons why a course on game AI is time-relevant and important 2 Some potential learning
More informationArtificial intelligence: past, present and future
Artificial intelligence: past, present and future Thomas Bolander, Associate Professor, DTU Compute Danske Ideer, 15 March 2017 Thomas Bolander, Danske Ideer, 15 Mar 2017 p. 1/21 A bit about myself Thomas
More informationBecause Strong AI is Dead, Test-Based AI Lives
Because Strong AI is Dead, Test-Based AI Lives Selmer Bringsjord Dept of Cognitive Science Dept of Computer Science Rensselaer AI & Reasoning (RAIR) Lab Rensselaer Polytechnic Institute (RPI) Troy NY 12180
More informationMonte Carlo Tree Search
Monte Carlo Tree Search 1 By the end, you will know Why we use Monte Carlo Search Trees The pros and cons of MCTS How it is applied to Super Mario Brothers and Alpha Go 2 Outline I. Pre-MCTS Algorithms
More informationIntelligent Systems. Lecture 1 - Introduction
Intelligent Systems Lecture 1 - Introduction In which we try to explain why we consider artificial intelligence to be a subject most worthy of study, and in which we try to decide what exactly it is Dr.
More informationArtificial Intelligence
Artificial Intelligence Introduction Chapter 1 & 26 Why Study AI? One reason to study it is to learn more about ourselves Another reason is that these constructed intelligent entities are interesting and
More informationArtificial Intelligence: An overview
Artificial Intelligence: An overview Thomas Trappenberg January 4, 2009 Based on the slides provided by Russell and Norvig, Chapter 1 & 2 What is AI? Systems that think like humans Systems that act like
More informationCOS402 Artificial Intelligence Fall, Lecture I: Introduction
COS402 Artificial Intelligence Fall, 2006 Lecture I: Introduction David Blei Princeton University (many thanks to Dan Klein for these slides.) Course Site http://www.cs.princeton.edu/courses/archive/fall06/cos402
More informationThe REAL Problem With Artificial Intelligence:
The REAL Problem With Artificial Intelligence: A Lack of Understanding Dr. Frank Jones January 2016 Outline of This Talk Beginning (YOU ARE HERE) Middle End Definition: Artificial Intelligence: The branch
More informationArtificial Intelligence
Artificial Intelligence Chapter 1 Chapter 1 1 Outline What is AI? A brief history The state of the art Chapter 1 2 What is AI? Systems that think like humans Systems that think rationally Systems that
More informationCSE 473 Artificial Intelligence (AI) Outline
CSE 473 Artificial Intelligence (AI) Rajesh Rao (Instructor) Ravi Kiran (TA) http://www.cs.washington.edu/473 UW CSE AI faculty Goals of this course Logistics What is AI? Examples Challenges Outline 2
More informationA.M. Turing, computer pioneer, worried about intelligence in humans & machines; proposed a test (1950) thinks with electricity
Progress has been tremendous Lawrence Snyder University of Washington, Seattle The inventors of ENIAC, 1 st computer, said it thinks with electricity Do calculators think? Does performing arithmetic, which
More informationCS 1571 Introduction to AI Lecture 1. Course overview. CS 1571 Intro to AI. Course administrivia
CS 1571 Introduction to AI Lecture 1 Course overview Milos Hauskrecht milos@cs.pitt.edu 5329 Sennott Square Course administrivia Instructor: Milos Hauskrecht 5329 Sennott Square milos@cs.pitt.edu TA: Swapna
More informationProgress has been tremendous. Lawrence Snyder University of Washington, Seattle
Progress has been tremendous Lawrence Snyder University of Washington, Seattle Lawrence Snyder 2004 The inventors of ENIAC, 1 st computer, said it thinks with electricity Do calculators think? Does performing
More informationIntelligent Agents. Introduction. Ute Schmid Practice: Emanuel Kitzelmann. Cognitive Systems, Applied Computer Science, University of Bamberg
Intelligent Agents Introduction Ute Schmid Practice: Emanuel Kitzelmann Cognitive Systems, Applied Computer Science, University of Bamberg last change: 27. Mai 2010 U. Schmid (CogSys) Intelligent Agents
More informationArtificial Intelligence
Artificial Intelligence Chapter 1 Chapter 1 1 Outline What is AI? A brief history The state of the art Chapter 1 2 What is AI? Systems that think like humans Systems that think rationally Systems that
More informationCITS3001. Algorithms, Agents and Artificial Intelligence. Semester 1, 2015
CITS3001 Algorithms, Agents and Artificial Intelligence Semester 1, 2015 Wei Liu School of Computer Science & Software Eng. The University of Western Australia 5. Agents and introduction to AI AIMA, Chs.
More informationLecture 19 November 6, 2014
6.890: Algorithmic Lower Bounds: Fun With Hardness Proofs Fall 2014 Prof. Erik Demaine Lecture 19 November 6, 2014 Scribes: Jeffrey Shen, Kevin Wu 1 Overview Today, we ll cover a few more 2 player games
More information6. Games. COMP9414/ 9814/ 3411: Artificial Intelligence. Outline. Mechanical Turk. Origins. origins. motivation. minimax search
COMP9414/9814/3411 16s1 Games 1 COMP9414/ 9814/ 3411: Artificial Intelligence 6. Games Outline origins motivation Russell & Norvig, Chapter 5. minimax search resource limits and heuristic evaluation α-β
More informationArtificial Intelligence. What is AI?
2 Artificial Intelligence What is AI? Some Definitions of AI The scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines American Association
More informationArtificial Intelligence
Artificial Intelligence One way to define Artificial Intelligence (AI) is as a branch of science trying to determine and formally describe, permitting a computer implementation the solutions for hard problems.
More informationAI in Business Enterprises
AI in Business Enterprises Are Humans Rational? Rini Palitmittam 10 th October 2017 Image Courtesy: Google Images Founders of Modern Artificial Intelligence Image Courtesy: Google Images Founders of Modern
More informationLecture 1 What is AI?
Lecture 1 What is AI? CSE 473 Artificial Intelligence Oren Etzioni 1 AI as Science What are the most fundamental scientific questions? 2 Goals of this Course To teach you the main ideas of AI. Give you
More informationCOMP219: Artificial Intelligence. Lecture 2: AI Problems and Applications
COMP219: Artificial Intelligence Lecture 2: AI Problems and Applications 1 Introduction Last time General module information Characterisation of AI and what it is about Today Overview of some common AI
More informationArtificial Intelligence
Torralba and Wahlster Artificial Intelligence Chapter 1: Introduction 1/22 Artificial Intelligence 1. Introduction What is AI, Anyway? Álvaro Torralba Wolfgang Wahlster Summer Term 2018 Thanks to Prof.
More informationArtificial Intelligence. Shobhanjana Kalita Dept. of Computer Science & Engineering Tezpur University
Artificial Intelligence Shobhanjana Kalita Dept. of Computer Science & Engineering Tezpur University What is AI? What is Intelligence? The ability to acquire and apply knowledge and skills (definition
More informationAgents and Introduction to AI
Agents and Introduction to AI CITS3001 Algorithms, Agents and Artificial Intelligence Tim French School of Computer Science and Software Engineering The University of Western Australia 2017, Semester 2
More informationIntroduction to Artificial Intelligence
Introduction to Artificial Intelligence Kalev Kask ICS 271 Fall 2017 http://www.ics.uci.edu/~kkask/fall-2017 CS271/ Course requirements Assignments: There will be weekly homework assignments, a project,
More informationCOMP9414/ 9814/ 3411: Artificial Intelligence. Overview. UNSW c Alan Blair,
COMP9414/ 9814/ 3411: Artificial Intelligence Overview COMP9414/9814/3411 16s1 Overview 1 Course Web Page(s) http://www.cse.unsw.edu.au/~cs9414 http://www.cse.unsw.edu.au/~cs3411 Lecturer-in-Charge Alan
More informationCMSC 421, Artificial Intelligence
Last update: January 28, 2010 CMSC 421, Artificial Intelligence Chapter 1 Chapter 1 1 What is AI? Try to get computers to be intelligent. But what does that mean? Chapter 1 2 What is AI? Try to get computers
More informationWhat is AI? Artificial Intelligence. Acting humanly: The Turing test. Outline
What is AI? Artificial Intelligence Systems that think like humans Systems that think rationally Systems that act like humans Systems that act rationally Chapter 1 Chapter 1 1 Chapter 1 3 Outline Acting
More informationHistory and Philosophical Underpinnings
History and Philosophical Underpinnings Last Class Recap game-theory why normal search won t work minimax algorithm brute-force traversal of game tree for best move alpha-beta pruning how to improve on
More informationLecture 1 What is AI?
Lecture 1 What is AI? EECS 348 Intro to Artificial Intelligence Doug Downey With material adapted from Oren Etzioni (UW) and Stuart Russell (UC Berkeley) Outline 1) What is AI: The Course 2) What is AI:
More informationThe Singularity May Be Near
The Singularity May Be Near Roman V. Yampolskiy Computer Engineering and Computer Science Speed School of Engineering University of Louisville roman.yampolskiy@louisville.edu Abstract Toby Walsh in The
More informationIntroduction to Artificial Intelligence
Introduction to Artificial Intelligence By Budditha Hettige Sources: Based on An Introduction to Multi-agent Systems by Michael Wooldridge, John Wiley & Sons, 2002 Artificial Intelligence A Modern Approach,
More informationFinal Lecture: Fun, mainly
Today s Plan Final Lecture: Fun, mainly Minesweeper Conway s Game of Life The Busy-Beaver function Eliza The Turing Test: Can a machine be intelligent? The Chinese Room: Maybe not. A Story about a Barometer
More informationPSCSF 25th May Potential of AI and future Local Government applications. Netcall 2017
PSCSF 25th May 2017 Potential of AI and future Local Government applications Agenda What is AI? How has it been used in the Private Sector? Where is it being used in the Public Sector? Potential of AI
More informationIntroduction to cognitive science Session 3: Cognitivism
Introduction to cognitive science Session 3: Cognitivism Martin Takáč Centre for cognitive science DAI FMFI Comenius University in Bratislava Príprava štúdia matematiky a informatiky na FMFI UK v anglickom
More informationArtificial Intelligence
Artificial Intelligence Chapter 1 Chapter 1 1 Outline What is AI? A brief history The state of the art Chapter 1 2 What is AI? Systems that think like humans Systems that think rationally Systems that
More informationAI in Tabletop Games. Team 13 Josh Charnetsky Zachary Koch CSE Professor Anita Wasilewska
AI in Tabletop Games Team 13 Josh Charnetsky Zachary Koch CSE 352 - Professor Anita Wasilewska Works Cited Kurenkov, Andrey. a-brief-history-of-game-ai.png. 18 Apr. 2016, www.andreykurenkov.com/writing/a-brief-history-of-game-ai/
More informationIntroduction. Artificial Intelligence. Topic 1. What is AI? Contributions to AI History of AI Modern AI. Reading: Russel and Norvig, Chapter 1
Artificial Intelligence Topic 1 Introduction What is AI? Contributions to AI History of AI Modern AI Reading: Russel and Norvig, Chapter 1 c CSSE. Includes material c S. Russell & P. Norvig 1995,2003 with
More informationCS 188: Artificial Intelligence
CS 188: Artificial Intelligence Adversarial Search Prof. Scott Niekum The University of Texas at Austin [These slides are based on those of Dan Klein and Pieter Abbeel for CS188 Intro to AI at UC Berkeley.
More informationAdversarial Search. Read AIMA Chapter CIS 421/521 - Intro to AI 1
Adversarial Search Read AIMA Chapter 5.2-5.5 CIS 421/521 - Intro to AI 1 Adversarial Search Instructors: Dan Klein and Pieter Abbeel University of California, Berkeley [These slides were created by Dan
More informationRise of the Machines. How AI is Transforming IT and the Self-Service Experience. Ian Aitchison Snr Director, ITSM, Ivanti
Rise of the Machines How AI is Transforming IT and the Self-Service Experience Ian Aitchison Snr Director, ITSM, Ivanti About Me About You Wouldn t it be good if things were easier If Self Service was:-
More informationAI Principles, Semester 2, Week 1, Lecture 2, Cognitive Science and AI Applications. The Computational and Representational Understanding of Mind
AI Principles, Semester 2, Week 1, Lecture 2, Cognitive Science and AI Applications How simulations can act as scientific theories The Computational and Representational Understanding of Mind Boundaries
More informationCS:4420 Artificial Intelligence
CS:4420 Artificial Intelligence Spring 2018 Introduction Cesare Tinelli The University of Iowa Copyright 2004 18, Cesare Tinelli and Stuart Russell a a These notes were originally developed by Stuart Russell
More informationIntroduction to AI. Chapter 1. TB Artificial Intelligence 1/ 23
Introduction to AI Chapter 1 TB Artificial Intelligence 2017 1/ 23 Reference Book Artificial Intelligence: A Modern Approach Stuart Russell and Peter Norvig http://aima.cs.berkeley.edu/ 2 / 23 Some Other
More informationMultiagent Systems: Intro to Game Theory. CS 486/686: Introduction to Artificial Intelligence
Multiagent Systems: Intro to Game Theory CS 486/686: Introduction to Artificial Intelligence 1 1 Introduction So far almost everything we have looked at has been in a single-agent setting Today - Multiagent
More informationAdversarial Search. Human-aware Robotics. 2018/01/25 Chapter 5 in R&N 3rd Ø Announcement: Slides for this lecture are here:
Adversarial Search 2018/01/25 Chapter 5 in R&N 3rd Ø Announcement: q Slides for this lecture are here: http://www.public.asu.edu/~yzhan442/teaching/cse471/lectures/adversarial.pdf Slides are largely based
More informationCS 4700: Foundations of Artificial Intelligence
CS 4700: Foundations of Artificial Intelligence selman@cs.cornell.edu Module: Adversarial Search R&N: Chapter 5 1 Outline Adversarial Search Optimal decisions Minimax α-β pruning Case study: Deep Blue
More informationFoundations of Artificial Intelligence Introduction State of the Art Summary. classification: Board Games: Overview
Foundations of Artificial Intelligence May 14, 2018 40. Board Games: Introduction and State of the Art Foundations of Artificial Intelligence 40. Board Games: Introduction and State of the Art 40.1 Introduction
More informationFrom Turing Machines to Building a Brain
From Turing Machines to Building a Brain Including an introduction to Philosophy of Mind Church-Turing Thesis Turing was beaten to the punch in his solution to the Entscheidungsproblem Alonzo Church announced
More informationArtificial Intelligence for Engineers. EE 562 Winter 2015
Artificial Intelligence for Engineers EE 562 Winter 2015 1 Administrative Details Instructor: Linda Shapiro, 634 CSE, shapiro@cs.washington.edu TA: ½ time Bilge Soran, bilge@cs.washington.edu Course Home
More informationThe Science of the Artificial
The Science of the Artificial 기술경영협동과정 박사 4학기 송경희/유광용 Who is Herbert A. Simon? Nobel Prize winner Herbert Simon was a true Renaissance Man, laying the foundations for both artificial intelligence and behavioral
More informationArtificial Intelligence. Berlin Chen 2004
Artificial Intelligence Berlin Chen 2004 Course Contents The theoretical and practical issues for all disciplines Artificial Intelligence (AI) will be considered AI is interdisciplinary! Foundational Topics
More informationCS440/ECE448: Artificial Intelligence. Section Q course website:
CS440/ECE448: Artificial Intelligence Section Q course website: http://slazebni.cs.illinois.edu/fall16/ Last time: What is AI? Definitions from Chapter 1 of the textbook: 1. Thinking humanly 2. Acting
More informationQuick work: Memory allocation
Quick work: Memory allocation The OS is using a fixed partition algorithm. Processes place requests to the OS in the following sequence: P1=15 KB, P2=5 KB, P3=30 KB Draw the memory map at the end, if each
More informationCOMS 493 AI, ROBOTS & COMMUNICATION
COMS 493 AI, ROBOTS & COMMUNICATION Responsibility Rights Objective: Demonstrate why it not only makes sense to address these questions but also why avoiding this subject could have significant social
More informationAdversarial Search Lecture 7
Lecture 7 How can we use search to plan ahead when other agents are planning against us? 1 Agenda Games: context, history Searching via Minimax Scaling α β pruning Depth-limiting Evaluation functions Handling
More information