Reinforcement Learning Learning from the environment around us A poetic approach.

Slides:



Advertisements
Similar presentations
By William Evans. What IN THE WORLD is A.I A.I stands for Artificial Intelligence, or pretty much man made intellect. A.I is a term brought up by John.
Advertisements

Artificial Intelligence
Solving Problems with Constraints Karen E. Petrie.
ICS 101 Fall 2011 Introduction to Artificial Intelligence Asst. Prof. Lipyeow Lim Information & Computer Science Department University of Hawaii at Manoa.
Games at Bolton Advance Games Technology Andrew Williams
COMP 3009 Introduction to AI Dr Eleni Mangina
Artificial Intelligence
Artificial Intelligence
WARM UP On your sticky note… 1. What is motivation? 2. What motivates you? Once done- please place on the “motivation” poster at front of room!
Reference: "Artificial Intelligence, a Modern Approach, 3rd ed."
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.
Artificial Intelligence CIS 479/579 Bruce R. Maxim UM-Dearborn.
CISC4/681 Introduction to Artificial Intelligence1 Introduction – Artificial Intelligence a Modern Approach Russell and Norvig: 1.
Lecture 1 Note: Some slides and/or pictures are adapted from Lecture slides / Books of Dr Zafar Alvi. Text Book - Aritificial Intelligence Illuminated.
ICS 101 Fall 2011 Introduction to Artificial Intelligence Asst. Prof. Lipyeow Lim Information & Computer Science Department University of Hawaii at Manoa.
Artificial Intelligence 19. Exam Questions Course V231 Department of Computing Imperial College © Simon Colton.
The Future of Web Services. Five New Web Sevices Coming in the Next 25 Years! Health Services Common ID Sensory Recognition Robots Artificial Intelligence.
Artificial Intelligence Introductory Lecture Jennifer J. Burg Department of Mathematics and Computer Science.
Creating With Code.
Lecture 10: 8/6/1435 Machine Learning Lecturer/ Kawther Abas 363CS – Artificial Intelligence.
Incremental Learning Chris Mesterharm Fordham University.
SPHERES OF ARTIFICIAL INTELLIGENCE Gafur Djumaniyazov.
Game Mechanics EST310/ISE340 Fall 2011 Tony Scarlatos.
CSC 8520 Fall, Paula Matuszek 1 CS 8520: Artificial Intelligence Lab 1 Paula Matuszek Fall, 2008.
1 Machine Learning 1.Where does machine learning fit in computer science? 2.What is machine learning? 3.Where can machine learning be applied? 4.Should.
1 CS 2710, ISSP 2610 Foundations of Artificial Intelligence introduction.
CS 536 – Ahmed Elgammal CS 536: Machine Learning Fall 2005 Ahmed Elgammal Dept of Computer Science Rutgers University.
Artificial Intelligence Miroslav Mařík Peter Ševčík Monika Pinďarová.
Operant Conditioning The second great learning theory in modern psychology!
WEEK INTRODUCTION IT440 ARTIFICIAL INTELLIGENCE.
McGraw Hill (c) 2001 by the McGraw Hill Companies, Inc. All rights reserved. The Promises of the Digital Age Chapter 10 Society & Information Technology.
Introduction to Artificial Intelligence CS 438 Spring 2008 Today –AIMA, Chapter 1 –Defining AI Next Tuesday –Intelligent Agents –AIMA, Chapter 2 –HW: Problem.
Light and darkness about future techology. 1º DAW.
Course Overview  What is AI?  What are the Major Challenges?  What are the Main Techniques?  Where are we failing, and why?  Step back and look at.
Introduction to Artificial Intelligence CS 438 Spring 2008.
MACHINE LEARNING COURSE Instructor Dr. Ricardo Vilalta.
1 ARTIFICIAL INTELLIGENCE Gilles BÉZARD Version 3.16.
Game Mechanics EST310/ISE340 Fall 2011 Tony Scarlatos.
Binary Numbers Extra Credit Day. Extra Credit Many have asked if there is some way to make up for the missing work in Gradebook. This is one opportunity.
Economic reasoning and artificial intelligence by David C. Parkes, and Michael P. Wellman Science Volume 349(6245): July 17, 2015 Published by AAAS.
Image from
Artificial Intelligence. What is AI? „Study of intelligent behavior and the attempt to find ways in which such behavior could be engineered in any kind.
Open Informatics a computer science program bachelor and master guarantor: prof. Michal Pěchouček.
Brief Intro to Machine Learning CS539
Evaluating your project
GOALS: how we get motivated!
Adhering to Medical Advice
Done Done Course Overview What is AI? What are the Major Challenges?
CH. 1: Introduction 1.1 What is Machine Learning Example:
نتعارف لنتألف في التعارف تألف (( الأرواح جنود مجندة , ماتعارف منها أئتلف , وماتنافر منها اختلف )) نماذج من العبارات الايجابية.
What Are Preservatives And Additives.
COMP 4640 Intelligent & Interactive Systems
Artificial Intelligence استوارت راسل، پیتر نورویگ
Robot Soccer Real Madrid.
Basic Intro Tutorial on Machine Learning and Data Mining
CS 380: Artificial Intelligence
Course Instructor: knza ch
اهداف کلاس های آمادگي براي زايمان
Schedules of Reinforcement
Overview of Machine Learning
Artificial Intelligence Lecture 2: Foundation of Artificial Intelligence By: Nur Uddin, Ph.D.
TA : Mubarakah Otbi, Duaa al Ofi , Huda al Hakami
Conflict What is conflict?
Game review By ?.
The Future of Work Work in a rapidly changing environment Jamie Cooke Head of RSA
Is there ...?.
Motivation Project.
Tomorrow Yesterday Today APG Discovery Center Supercomputing
AI In By
Experts Consultation: Future of Innovation in The Healthcare Industry.
Presentation transcript:

Reinforcement Learning Learning from the environment around us A poetic approach

On Health treatment sunrise -- scheduling the correct doses and sequences

On Debt gotham -- increasing tax revenue by asking at the right time Image Credit:

On Robots mechanical men – fulfilling the appliance promise by folding for you Image Credit: Mechanical Doll 1&2, Yotsuya Simon, 2000 (c)

On Games Singularity – of games man made machines take over

On Humanity the economic fall – intrinsic and extrinsic rewards lead to self preservation

On AI tomorrow – the idea that is Artificial Intelligence Image Credit: Forbes