CS 357 – Intro to Artificial Intelligence  Learn about AI, search techniques, planning, optimization of choice, logic, Bayesian probability theory, learning,

Slides:



Advertisements
Similar presentations
ARTIFICIAL INTELLIGENCE
Advertisements

LAST LECTURE. Functionalism Functionalism in philosophy of mind is the view that mental states should be identified with and differentiated in terms of.
Dark Rooms and Chinese Brains Philosophy of Mind BRENT SILBY Unlimited (UPT)
AI 授課教師:顏士淨 2013/09/12 1. Part I & Part II 2  Part I Artificial Intelligence 1 Introduction 2 Intelligent Agents Part II Problem Solving 3 Solving Problems.
A Brief History of Artificial Intelligence
CS440/ECE448: Artificial Intelligence
SEARLE THE CHINESE ROOM ARGUMENT: MAN BECOMES COMPUTER.
Introduction to Cognitive Science Philosophy Nov 2005 :: Lecture #1 :: Joe Lau :: Philosophy HKU.
Shailesh Appukuttan : M.Tech 1st Year CS344 Seminar
Introduction to Artificial Intelligence Ruth Bergman Fall 2004.
Acting Humanly: The Turing test (1950) “Computing machinery and intelligence”:   Can machine’s think? or Can machines behave intelligently? An operational.
COMP 3009 Introduction to AI Dr Eleni Mangina
CSE 471/598,CBS598 Introduction to Artificial Intelligence Fall 2004
Random Administrivia In CMC 306 on Monday for LISP lab.
Chapter Two The Philosophical Approach: Enduring Questions.
Introduction to Artificial Intelligence ITK 340, Spring 2010.
Artificial Intelligence
Philosophical Foundations Chapter 26. Searle v. Dreyfus argument §Dreyfus argues that computers will never be able to simulate intelligence §Searle, on.
ARTIFICIAL INTELLIGENCE Introduction: Chapter Textbook: S. Russell and P. Norvig Artificial Intelligence: A Modern Approach Prentice Hall, 2003,
CPSC 171 Artificial Intelligence Read Chapter 14.
Definitions of Reality (ref . Wiki Discussions)
FOUNDATIONS OF ARTIFICIAL INTELLIGENCE Introduction: Chapter 1.
ARTIFICIAL INTELLIGENCE Introduction: Chapter 1. Outline Course overview What is AI? A brief history The state of the art.
1 AI and Agents CS 171/271 (Chapters 1 and 2) Some text and images in these slides were drawn from Russel & Norvig’s published material.
CSCI 4410 Introduction to Artificial Intelligence.
1 Intelligent Systems Q: Where to start? A: At the beginning (1940) by Denis Riordan Reference Modern Artificial Intelligence began in the middle of the.
CISC4/681 Introduction to Artificial Intelligence1 Introduction – Artificial Intelligence a Modern Approach Russell and Norvig: 1.
Artificial Intelligence Introduction (2). What is Artificial Intelligence ?  making computers that think?  the automation of activities we associate.
Introduction to Artificial Intelligence Artificial Intelligence Section 4 Mr. Sciame.
The AI Challenge: Who are we? Images Copyright Twentieth Century Fox, Paramount, Sony;
Introduction: Chapter 1
Artificial Intelligence Lecture No. 3
CSC4444: Artificial Intelligence Fall 2011 Dr. Jianhua Chen Slides adapted from those on the textbook website.
CS Artificial Intelligence  Class Syllabus.
Artificial Intelligence Introductory Lecture Jennifer J. Burg Department of Mathematics and Computer Science.
For Friday Read chapter 27 Program 5 due.
For Friday Read chapter 27 Program 5 due. Program 5 Any questions?
A New Artificial Intelligence 5 Kevin Warwick. Philosophy of AI II Here we will look afresh at some of the arguments Here we will look afresh at some.
Artificial Intelligence By Michelle Witcofsky And Evan Flanagan.
Introduction to Artificial Intelligence Mitch Marcus CIS391 Fall, 2008.
Section 2.3 I, Robot Mind as Software McGraw-Hill © 2013 McGraw-Hill Companies. All Rights Reserved.
Roger Penrose’s Argument Against Though Computation.
Artificial Intelligence
Introduction to Artificial Intelligence CS 438 Spring 2008 Today –AIMA, Chapter 1 –Defining AI Next Tuesday –Intelligent Agents –AIMA, Chapter 2 –HW: Problem.
Definitions of AI There are as many definitions as there are practitioners. How would you define it? What is important for a system to be intelligent?
Definitions Think like humansThink rationally Act like humansAct rationally The science of making machines that: This slide deck courtesy of Dan Klein.
What is Artificial Intelligence?
FOUNDATIONS OF ARTIFICIAL INTELLIGENCE
Artificial Intelligence Lecture 2 Department of Computer Science, International Islamic University Islamabad, Pakistan.
A Brief History of AI Fall 2013 COMP3710 Artificial Intelligence Computing Science Thompson Rivers University.
1 Artificial Intelligence & Prolog Programming CSL 302.
Artificial Intelligence Hossaini Winter Outline book : Artificial intelligence a modern Approach by Stuart Russell, Peter Norvig. A Practical Guide.
Artificial Intelligence Skepticism by Josh Pippin.
Uses and Limitations Fall 2013 COMP3710 Artificial Intelligence Computing Science Thompson Rivers University.
AI and Communication N’JEMA MCINTYRE AND JOEY BEAULIEU.
CS440/ECE448: Artificial Intelligence. Section Q course website:
CS440/ECE448: Artificial Intelligence Lecture 1: What is AI?
Introduction to Artificial Intelligence
COMP3710 Artificial Intelligence Thompson Rivers University
The Mind-Body Problem.
Course Instructor: knza ch
Artificial Intelligence (Lecture 1)
Artificial Intelligence Lecture 2: Foundation of Artificial Intelligence By: Nur Uddin, Ph.D.
AI and Agents CS 171/271 (Chapters 1 and 2)
EA C461 – Artificial Intelligence Introduction
COMP3710 Artificial Intelligence Thompson Rivers University
COMP3710 Artificial Intelligence Thompson Rivers University
Introduction to Artificial Intelligence Instructor: Dr. Eduardo Urbina
Presentation transcript:

CS 357 – Intro to Artificial Intelligence  Learn about AI, search techniques, planning, optimization of choice, logic, Bayesian probability theory, learning, etc.  Learn skills applicable to other fields of computer science  Have fun. Course Goals  Text: “Artificial Intelligence: A Modern Approach” Russell and Norvig.

What is (Artificial) Intelligence?  No agreed upon scientific definition, except that intelligence is demonstrated by people  AI has traditionally been a field trying to solve problems that people are good at (and that other things are not good at).  Should we try to do it the same way as people?  Can we do better than people?

Can a Machine Be Intelligent?  Ongoing Argument  Weak AI – Machines can be made to act as if they were intelligent  Strong AI – Machines that act intelligently, have real, conscious minds.  Does computation = intelligence?  Is a spider intelligent?  Are the genes of a human intelligent?  Biological Naturalism (phisicalism, materialism) - "Brains Cause Minds" p.819  The Turing test.

Acting Humanly: The Turing test (1950) “Computing machinery and intelligence”: Can machine’s think? or Can machines behave intelligently? An operational test for intelligent behavior: the Imitation Game Predicted that by the year 2000, a machine would have a 30% chance of fooling a lay person for 5 minutes Anticipated all major arguments against AI in the following 50 years Suggested major components of AI: knowledge, reasoning, language, understanding, learning. Problem: Turing test is not reproducible, constructive, or amenable to mathematical analysis. Intelligence not determinable by surface behavior alone. The test is not sufficient since the behaviors under adjudication are too limited. As a sufficient condition for intelligence, the test is so difficult as to be uninteresting.

Philosophy – Mind over matter OR mind is matter? Biological Naturalism (phisicalism, materialism) - "Brains Cause Minds“:  Mental states, such as being in pain, knowing that one is driving a car, or thinking that your mother neglected you as a child, are a direct result of brain states.  Some brain states = the same mental state.  Avoids speculation about nonphysical processes beyond the ken of science. What about free will? Is everyone a deterministic machine? What about consciousness? How does consciousness arise from a certain organization of matter? What is consciousness? Why? Sentience: 1. The quality or state of being sentient; consciousness. 2. Feeling as distinguished from perception or thought. 3. A sense of one's own personal thoughts, including the attitudes, beliefs, and sensitivities held by or considered characteristic of an individual. Mind is spiritual: However, physical changes in mind affect it. Damage to certain areas of brain can change behavior. Dualism: There is a part of mind that lies outside of nature, is not physical. Rene Descartes: first clear discussion of the distinction between mind and matter. A proponent of dualism. Held that only man (not animals) posses this dualist quality – animals can be viewed as machines. Alternative to dualism: mind is purely physical but cannot be completely explained by a reduction to ordinary physical processes. Perhaps mind could be an “emergent” property of the physical characteristics of your brain, for example.

Consciousness - The Chinese Room Experiment – Does running the right program generate consciousness? Human – only understands English Rule book – written in english Stacks of paper – some blank, some with indecipherable symbols on them Small opening to outside world Pieces of paper with symbols on them are passed through the opening The human follows the instructions in the rule book Eventually the human hands a piece of paper with symbols on it through the opening 1.Certain kinds of objects are incapable of conscious understanding 2.The human, paper, and rule book are objects of this kind 3.If each object is incapable, the entire whole is incapable 4.Therefore there is no conscious understanding in the room

The Brain Prosthesis Experiment Replace neurons in your brain one at a time with artificial neurons that *exactly* replicate the behavior of the original neurons (then reverse the process). By definition, the subjects external behavior must remain unchanged. What happens? We have two choices, either 1.The causal mechanisms involved in consciousness in the electronic brain are still functioning, and it is therefore conscious. 2.Conscious mental events in the normal brain have no effect on behavior. If neuron replacement is conscious, replacing brain with a circuit/lookup table that mapped inputs to outputs *must* also be conscious.

Current definitions of AI Current definitions of AI vary along two main dimensions (page 5). Dimension 1a. Concerned with thought processes and reasoning. Systems that think like humans. Dimension 1b.. Concerned with behavior. Systems that think rationally. Dimension2a. Measure success in terms of human performance. Systems that act like humans. Dimensions2b. Measure success in terms of "rationality" (an ideal measure of performance). Systems that act rationally. 1. Acting humanly - the Turing test 2. Thinking humanly - cognitive science 3. Thinking rationally - the "laws of thought" approach. The emphasis is on making (and being able to trace) correct, logical inferences. 4. Acting rationally - the "rational agent" approach. Does not require that a "correct inference" be made, rather places emphasis on good behavior. Correct inference is thus only a useful, but not necessary, mechanism for generating "rational" (or good) behavior. This is the most general approach, since the behavior need not be human-like, it just needs to be good/right. This is the definition of intelligence emphasized in this book.

What is rational for an agent? It depends on: 1.The performance measure 2.What it has perceived 3.Its current store of knowledge 4.The actions the agent can perform

All of the above agents can be turned into learning agents.

Percepts? Actions? Goals? Environment? Automated taxi driver:

Percepts? Actions? Goals? Environment? Internet shopping agent

Environment Issues