Introduction to AI & AI Principles (Semester 1) WEEK 2 – Tuesday part B Introduction to AI & AI Principles (Semester 1) WEEK 2 – Tuesday part B (2008/09)

Slides:



Advertisements
Similar presentations
Artificial Intelligence
Advertisements

Artificial Intelligence
Presentation on Artificial Intelligence
An Introduction to Artificial Intelligence. Introduction Getting machines to “think”. Imitation game and the Turing test. Chinese room test. Key processes.
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.
WHAT IS ARTIFICIAL INTELLIGENCE?
Introduction to AI & AI Principles (Semester 1) WEEK 2 John Barnden Professor of Artificial Intelligence School of Computer Science University of Birmingham,
Introduction to AI & AI Principles (Semester 1) WEEK 3 (07/08) John Barnden Professor of Artificial Intelligence School of Computer Science University.
Introduction to AI & AI Principles (Semester 1) WEEK 8 (07/08) [Barnden’s slides only] John Barnden Professor of Artificial Intelligence School of Computer.
Introduction to AI & AI Principles (Semester 1) REVISION LECTURES (Term 3) John Barnden Professor of Artificial Intelligence School of Computer Science.
Introduction to AI & AI Principles (Semester 1) WEEK 7 (07/08) [Barnden’s slides only] John Barnden Professor of Artificial Intelligence School of Computer.
Introduction to AI & AI Principles (Semester 1) REVISION LECTURES (Term 3) John Barnden Professor of Artificial Intelligence School of Computer Science.
Introduction to AI & AI Principles (Semester 1) WEEK 7 John Barnden Professor of Artificial Intelligence School of Computer Science University of Birmingham,
From Discrete Mathematics to AI applications: A progression path for an undergraduate program in math Abdul Huq Middle East College of Information Technology,
Introduction to AI & AI Principles (Semester 1) WEEK 2 – Wednesday Introduction to AI & AI Principles (Semester 1) WEEK 2 – Wednesday (2008/09) John Barnden.
Introduction to AI & AI Principles (Semester 1) WEEK 11 John Barnden Professor of Artificial Intelligence School of Computer Science University of Birmingham,
Introduction to AI & AI Principles (Semester 1) WEEK 2 Introduction to AI & AI Principles (Semester 1) WEEK 2 (2007/08) John Barnden Professor of Artificial.
Introduction to AI & AI Principles (Semester 1) WEEK 2 – Tuesday part A Introduction to AI & AI Principles (Semester 1) WEEK 2 – Tuesday part A (2008/09)
Introduction to AI & AI Principles (Semester 1) WEEK 3 – Wednesday Introduction to AI & AI Principles (Semester 1) WEEK 3 – Wednesday (2008/09) John Barnden.
Introduction to AI & AI Principles (Semester 1) WEEK 4 (07/08) John Barnden Professor of Artificial Intelligence School of Computer Science University.
Introduction to AI & AI Principles (Semester 1) WEEK 1 Introduction to AI & AI Principles (Semester 1) WEEK 1 (2008/09) Tuesday (b): Exercises John Barnden.
Introduction to Artificial Intelligence Prof. Kathleen McKeown 722 CEPSR, TAs: Kapil Thadani 724 CEPSR, Phong Pham TA Room.
Introduction to AI & AI Principles (Semester 1) WEEK 1 – Wednesday Introduction to AI & AI Principles (Semester 1) WEEK 1 – Wednesday (2008/09) John Barnden.
Introduction to AI & AI Principles (Semester 1) WEEK 8 – Wednesday Introduction to AI & AI Principles (Semester 1) WEEK 8 – Wednesday (2008/09) John Barnden.
Introduction to AI & AI Principles (Semester 1) WEEK 8 – Wednesday: answer to Exercise 3(b) Introduction to AI & AI Principles (Semester 1) WEEK 8 (2008/09)–
Introduction to AI & AI Principles (Semester 1) WEEK 3 John Barnden Professor of Artificial Intelligence School of Computer Science University of Birmingham,
1. 1 Text Book Artificial Intelligence: A Modern Approach, S. Russell and P. Norvig, 3/e, Prentice Hall, 2010 References  Artificial Intelligence, Patrick.
CPSC 322 Introduction to Artificial Intelligence September 10, 2004.
Introduction to AI & AI Principles (Semester 1) WEEK 3 – Tuesday part B Introduction to AI & AI Principles (Semester 1) WEEK 3 – Tuesday part B (2008/09)
Introduction to AI & AI Principles (Semester 1) WEEK 4 – Wednesday Introduction to AI & AI Principles (Semester 1) WEEK 4 – Wednesday (2008/09) John Barnden.
Introduction to AI & AI Principles (Semester 1) WEEK 5 – Wednesday Introduction to AI & AI Principles (Semester 1) WEEK 5 – Wednesday (2008/09) John Barnden.
Introduction to AI & AI Principles (Semester 1) WEEK 3 – Tuesday part A Introduction to AI & AI Principles (Semester 1) WEEK 3 – Tuesday part A (2008/09)
INTELLIGENT SYSTEMS Artificial Intelligence Applications in Business.
Intelligence & Artificial Intelligence You must have a pre-prepared sentence or two to spout about what is a description of intelligence.. And what is.
Artificial Intelligence By Ryan Shoultes & Jeremy Creighton.
The AI Challenge: Who are we? Images Copyright Twentieth Century Fox, Paramount, Sony;
Introduction to Artificial Intelligence. Content Definition of AI Typical AI problems Practical impact of AI Approaches of AI Limits of AI Brief history.
Artificial Intelligence: An Introduction Definition of AI Foundations of AI History of AI Advanced Techniques.
10/3/2015 ARTIFICIAL INTELLIGENCE Russell and Norvig ARTIFICIAL INTELLIGENCE: A Modern Approach.
Artificial Intelligence: Prospects for the 21 st Century Henry Kautz Department of Computer Science University of Rochester.
Overall course structure AI Artificial Intelligence ( A modern approach ) AI-2 Spring semester TDT4171 Methods in artificial intelligence AI-1 Fall semester.
Artificial Intelligence By Michelle Witcofsky And Evan Flanagan.
Artificial Intelligence (AI) is the science known for making intelligent machines. In this context intelligence means the ability of machines to simulate.
Introduction to AI & AI Principles (Semester 1) REVISION WEEK 1 (2008/09) John Barnden Professor of Artificial Intelligence School of Computer Science.
Types of Artificial Intelligence & Pioneers in the Field By Vernon Crowder.
1 Introduction to Artificial Intelligence (Lecture 1)
So what is AI?.
It is Artificial Idiocy that is alarming, Not Artificial Intelligence David Sanders Reader – University of Portsmouth Senior Research Fellow – Royal Academy.
Fundamentals/ICY: Databases 2013/14 Initial Orientation John Barnden Professor of Artificial Intelligence School of Computer Science University of Birmingham,
University of Kurdistan Artificial Intelligence Methods (AIM) Lecturer: Kaveh Mollazade, Ph.D. Department of Biosystems Engineering, Faculty of Agriculture,
Introduction to Artificial Intelligence CS 438 Spring 2008.
What is Artificial Intelligence?
Humans & Computers Will computers ever achieve human intelligence? Creativity? Originality? Thoughts? Is Artificial Intelligence Possible? The future of.
AI Ethics Mario Cardador Professional Ethics 2007 Mälardalens högskola
Intro to Maths for CS: 2012/13 Sets (end, week 3) John Barnden Professor of Artificial Intelligence School of Computer Science University of Birmingham,
Fundamentals/ICY: Databases 2013/14 Week 11 – Monday – relations, ended. John Barnden Professor of Artificial Intelligence School of Computer Science University.
Machines Who Think By: Pamela McCorduck Presentation By: Chantal Ivenso University of Cincinnati.
Fundamentals/ICY: Databases 2013/14 Week 3: Monday Intro to Some Main Themes John Barnden Professor of Artificial Intelligence School of Computer Science.
Presented by:- Reema Tariq Artificial Intelligence.
Artificial Intelligence, simulation and modelling.
1 Artificial Intelligence & Prolog Programming CSL 302.
Introduction to Artificial Intelligence Heshaam Faili University of Tehran.
Artificial Intelligence (CS 370D)
A I (Artificial Intelligence)
Fundamentals/ICY: Databases 2010/11 WEEK 1
Course Instructor: knza ch
Introduction Artificial Intelligent.
Fundamentals/ICY: Databases 2012/13 Initial Orientation
Introduction to Artificial Intelligence Instructor: Dr. Eduardo Urbina
AI Application Session 12
Presentation transcript:

Introduction to AI & AI Principles (Semester 1) WEEK 2 – Tuesday part B Introduction to AI & AI Principles (Semester 1) WEEK 2 – Tuesday part B (2008/09) John Barnden Professor of Artificial Intelligence School of Computer Science University of Birmingham, UK

Links to Other Disciplines uPsychology: on how human and other animal minds and behaviour work. uPhysiology & Neurophysiology: on how bodies & brains work. uPhilosophy: on the nature of mind, thought, consciousness, language, morality, imagination, reasoning, representation, … uLinguistics: on the nature of communication via language uSociology: on the nature and operation of society uothers

How Do the Aims of AI Differ from those of the Rest of CS? uSystem ability on broader tasks or broader ranges of tasks; Extrapolation to new variants of tasks. uAdaptability, learning. uVariable organization of major actions. uDiversity of information. uHandling of imperfections: uncertainty, vagueness, inconsistency, incorrectness, missing info, system damage. u“Graceful degradation” as info or system damage gets worse. u“Satisficing”: being good enough rather than perfect. uSelf-reflection.

Expert versus Everyday/Common-Sense uExpert AI: e.g., l Expert systems for medical diagnosis, etc. l Chess programs l Mathematical theorem provers l Aircraft movement planning systems l Specialized manufacturing robots uEveryday/Common-Sense AI: e.g., l Language processing, for no specific domain l Common-sense reasoning about the everyday world l Seeing the everyday world

WHY IS EVERYDAY AI CHALLENGING?

Who … … ? How many … … ?

Notice on van: CAUTION CHILDREN What could this mean?

Some Possible Meanings (of the phrase in isolation, at least) uBe cautious, you might harm a child. uBe cautious, a child might harm you! uChildren, be cautious. uCaution some children, please. uThis locker (say) is for the children of the Caution family. uThese are the children who have been cautioned. uThese are the children who have done some cautioning. uThese are the children who are “a caution.”