Artificial Intelligence: The Cyber Art of Being Alive Jerry B. Weinberg Associate Professor Department of Computer Science.

Slides:



Advertisements
Similar presentations
Approaches, Tools, and Applications Islam A. El-Shaarawy Shoubra Faculty of Eng.
Advertisements

Cognitive Systems, ICANN panel, Q1 What is machine intelligence, as beyond pattern matching, classification and prediction. What is machine intelligence,
Presentation on Artificial Intelligence
Professor Michael J. Losacco CIS 1110 – Using Computers Introduction to Computers Chapter 1.
Artificial Intelligence. Intelligent? What is intelligence? computational part of the ability to achieve goals in the world.
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.
The future of technology, law enforcement, and justice ICJIA Feburary, 2013.
WHAT IS ARTIFICIAL INTELLIGENCE?
Artificial Intelligence
Introduction to Artificial Intelligence Ruth Bergman Fall 2004.
Approaches to AI. Robotics Versus Artificial Intelligence.
Artificial Intelligence
1 Lecture 33 Introduction to Artificial Intelligence (AI) Overview  Lecture Objectives.  Introduction to AI.  The Turing Test for Intelligence.  Main.
Artificial Intelligence Overview John Paxton Montana State University February 22, 2005
Chapter 12: Intelligent Systems in Business
1. 1 Text Book Artificial Intelligence: A Modern Approach, S. Russell and P. Norvig, 3/e, Prentice Hall, 2010 References  Artificial Intelligence, Patrick.
Artificial Intelligence Instructor: Professor Yun Peng
Artificial Intelligence
3.11 Robotics, artificial intelligence and expert systems Strand 3 Karley Holland.
Artificial Intelligence
Some Thoughts to Consider 6 What is the difference between Artificial Intelligence and Computer Science? What is the difference between Artificial Intelligence.
Computers, Artificial Intelligence, & Robotics Erin Harris, Graduate Researcher Jerry B. Weinberg, Associate Professor Department of Computer Science.
Succeeding with Technology Information, Decision Support… Decision Making and Problem Solving Management Information Systems Decision Support Systems Group.
CSCI 4410 Introduction to Artificial Intelligence.
Artificial Intelligence: Definition “... the branch of computer science that is concerned with the automation of intelligent behavior.” (Luger, 2009) “The.
11 C H A P T E R Artificial Intelligence and Expert Systems.
10/3/2015 ARTIFICIAL INTELLIGENCE Russell and Norvig ARTIFICIAL INTELLIGENCE: A Modern Approach.
What is AI:-  Ai is the science of making machine do things that would requires intelligence.  Computers with the ability to mimic or duplicate the.
Artificial Intelligence: Prospects for the 21 st Century Henry Kautz Department of Computer Science University of Rochester.
Artificial Intelligence Introductory Lecture Jennifer J. Burg Department of Mathematics and Computer Science.
CNS 4470 Artificial Intelligence. What is AI? No really what is it? No really what is it?
Artificial Intelligence And Machine learning. Drag picture to placeholder or click icon to add What is AI?
Fundamentals of Information Systems, Third Edition2 Principles and Learning Objectives Artificial intelligence systems form a broad and diverse set of.
What is AI…? Dr. Simon Colton Computational Bioinformatics Laboratory Department of Computing Imperial College, London.
I Robot.
Modeling in Computer Architecture Matthew Jacob. Architecture Evaluation Challenges Skadron, Martonosi, August, Hill, Lilja and Pai, IEEE Computer, Aug.
1 The main topics in AI Artificial intelligence can be considered under a number of headings: –Search (includes Game Playing). –Representing Knowledge.
AI: Can Machines Think? Juntae Kim Department of Computer Engineering Dongguk University.
Artificial intelligence
The Future ICE 234: Survey of Computers in Schools Christy Keeler, Ph.D.
Artificial Intelligence By: Ian, Chelsea, Doug, & Grace.
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?
KNOWLEDGE BASED SYSTEMS
ARTIFICIALINTELLIGENCE ARTIFICIAL INTELLIGENCE EXPERT SYSTEMS.
Introduction to Artificial Intelligence CS 438 Spring 2008.
What is Artificial Intelligence?
Investigating Career Clusters Agriculture Growing crops and raising animals for human use Food Substance consumed by living things for energy and growth.
Spring, 2005 CSE391 – Lecture 1 1 Introduction to Artificial Intelligence Martha Palmer CSE391 Spring, 2005.
Artificial Intelligence: Research and Collaborative Possibilities a presentation by: Dr. Ernest L. McDuffie, Assistant Professor Department of Computer.
ARTIFICIAL INTELLIGENCE include people, procedures, hardware, software, data and knowledge needed to develop computer systems and machines that demonstrated.
CS382 Introduction to Artificial Intelligence Lecture 1: The Foundations of AI and Intelligent Agents 24 January 2012 Instructor: Kostas Bekris Computer.
Artificial Intelligence, simulation and modelling.
Decision Support and Business Intelligence Systems (9 th Ed., Prentice Hall) Chapter 12: Artificial Intelligence and Expert Systems.
Artificial Intelligence
Overview of Artificial Intelligence (1) Artificial intelligence (AI) Computers with the ability to mimic or duplicate the functions of the human brain.
Artificial Intelligence: The CyberArt of Being Human Jerry B. Weinberg Assistant Professor Department of Computer Science And Occasional Futurist.
Fundamentals of Information Systems, Sixth Edition
Fundamentals of Information Systems
Intelligent Mobile Robotics
CHAPTER 1 Introduction BIC 3337 EXPERT SYSTEM.
Artificial Intelligence
RESEARCH APPROACH.
Artificial Intelligence
Course Instructor: knza ch
TA : Mubarakah Otbi, Duaa al Ofi , Huda al Hakami
Artificial Intelligence
Artificial Intelligence Machine Learning
Presentation transcript:

Artificial Intelligence: The Cyber Art of Being Alive Jerry B. Weinberg Associate Professor Department of Computer Science

What is Intelligence? Expert Tasks –Medical Diagnosis –Airplane Mechanic Formal Tasks –Mathematics –Game Playing Creative Tasks –Painting –Music Composition Everyday Tasks –Visual recognition –Language understanding

Intelligence The ability to apply knowledge to manipulate one's environment The ability to learn, understand, and deal with new situations –Storing knowledge (facts about a subject) –Reasoning (putting facts together to achieve a goal) –Learning (new knowledge and skill refinement) –Perception (interpreting the environment)

Reasoning: State Space Search State Space –The space of all possible states of a problem –The actions that can be applied to a state Solving a problem: State Space Search –From a starting state search for a solution by applying possible actions –Goal test Example: –How could you find your car? –States: locations where you are –Actions: moving from one point to the next –Goal test: Being in the same location as your car

Exhaustive Search vs. Intelligent Search

Heuristic Reasoning Heuristic –“Rule of thumb” –a way to measure good a state is to get to your goal Examples –Parking: what would be a good heuristic to find your car?

Knowledge Representation Data  Information  Knowledge –Data is a collection of raw values –Information is derived facts from values –Knowledge is information applied to a problem Knowledge representation encodes information in a program in such a way that it can be applied to a problem

Solve These Problems What is the name of this shape? 432 X 14 = How many windows are in your house? Different type of problems require different ways to represent the knowledge and different ways of reasoning.

Knowledge Representations: Theories of Cognition Rule-based Model-based Case-based Neural Networks Bayesian Networks Formal Logic

Intelligent Agents (IA’s) are Physical Symbol Systems –Symbols and symbols structures that can be manipulated syntactically by a set of processes –The symbol structure can be interpreted semantically

Symbol Grounding Problem 4 apples – 1 apple = 3 apples Where does a symbol get its “meaning” How does a computer “understand” what the symbol means? How do we understand what a symbol means?

Where are we going? Caveat: The Difficulties of Being a Futurist The future is difficult to predict –Thomas Watson, Chairman of IBM, 1943 “I think there is a world market for maybe five computers” –Ken Olson, President of DEC, 1977 “There is no reason anyone would want a computer in their home.” –Bill Gates, CEO of Microsoft, 1981 “640 Kilobytes ought to be enough for anybody.” Things are not always used for what they are design to do –Arpanet (original Internet) was designed for robust communication in the event of a war. –We are now using it to order dog food and post pictures of our spring break vacation.

Where is the AI now? Microsoft Office Helpers Amazon.com NBA Scout Furby Wal-Mart Stocker Batman the Movie Half-life The Sims NASA

Creative AI’s AARON the cyberartist –Knowledge of objects and colors –Creates original paintings The Cyber Poet –“Reads” books and creates a language model –Uses the model to create original hiaku’s Soul A haiku written by Ray Kurzweil's Cybernetic Poet after reading poems by John Keats and Wendy Dennis You broke my soul the juice of eternity, the spirit of my lips.

Computer Power Apple IIe, 1983 –1 Mhz, $1,400 Dell PC, Today –4 2 Ghz processors, $900

Embedded Computers: Embedded AI Augmented Reality Ubiquitous Computing –GPS: Path Finding –Security Face Recognition

Robotics A machine able to extract information from its environment and use knowledge about its world to move safely in a meaningful manner Physically Embodied Computation The Real World is a Harsh Place Inaccessible Non-deterministic Dynamic

Teleprescence The next best thing to being there? –Meetings, building inspections, home doctor visits, search & rescue SOE Tour Guide

Autonomous Robots Mobile Robotics –Maintenance –Construction –Entertainment

Autonomous Robots Robotics –Productivity –Service –Friends

Everyone can be a robot scientist Robot Kits between $200 - $2000