A game to collect common sense data

Slides:



Advertisements
Similar presentations
LABELING IMAGES LUIS VON AHN CARNEGIE MELLON UNIVERSITY.
Advertisements

HOW DOES HUMAN-LIKE KNOWLEDGE COME INTO BEING IN ARTIFICIAL ASSOCIATIVE SYSTEMS? AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY Faculty of Electrical Engineering,
Tools: Computers and IT. VB, VBA, Excel, InterDev, Etc. Humans: Decision Making Process Algorithms: Math/Flow Chart stuff that helps the tools help the.
Artificial Intelligence
Developing Topic Sentences. Developing your body paragraph Topic Sentence Mentions your first piece of evidence (Unifying China, Government and Qin, Construction.
Chapter 4 DECISION SUPPORT AND ARTIFICIAL INTELLIGENCE
The Decision-Making Process IT Brainpower
Class Project Due at end of finals week Essentially anything you want, so long as its AI related and I approve Any programming language you want In pairs.
Games Programming III (TGP2281) – T1, 2010/2011 Game AI Fundamentals John See 15 November 2010.
Verbosities A game to collect common sense data Mihir Kedia.
Peekaboom: A Game for Locating Objects in Images
ICT in Healthcare Expert Systems.
McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 4 Analytics, Decision Support, and Artificial Intelligence:
CSCI 4410 Introduction to Artificial Intelligence.
Matthias Neubauer CAPTCHA What humans can do, But computers can not.
The Thinking Machine Based on Tape. Computer Has Some Intelligence Now Playing chess Solving calculus problems Other examples:
Chapter 14: Artificial Intelligence Invitation to Computer Science, C++ Version, Third Edition.
Artificial Intelligence: Its Roots and Scope
McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 10 Supporting Decision Making.
intelligence study and design of intelligent agentsis the intelligence of machines and the branch of computer science that aims to create it. AI textbooks.
TECHNOLOGY GUIDE FOUR Intelligent Systems.
 Prominent AI Reseacher  Colleague of Alan Turing at Bletchley Park  1992 Paper: ◦ Turing’s Test and Conscious Thought Turing’s Test and Conscious.
Exploration Seminar 3 Human Computation Roy McElmurry.
Artificial Intelligence
Ensemble of ensemble of tree and neural network Louis Duclos-Gosselin.
Fundamentals of Information Systems, Third Edition2 Principles and Learning Objectives Artificial intelligence systems form a broad and diverse set of.
Ideas Session Willer Travassos, Jan. 24th. GWAP Games with a purpose (GWAP) uses the computational power of humans to perform tasks that computers are.
Artificial Intelligence By Michelle Witcofsky And Evan Flanagan.
How Solvable Is Intelligence? A brief introduction to AI Dr. Richard Fox Department of Computer Science Northern Kentucky University.
CSC Intro. to Computing Lecture 22: Artificial Intelligence.
Artificial Intelligence and Expert Systems. ARTIFICIAL INTELLIGENCE (AI) is the science of R L Being able to Ability to solve a problem.
Decision Support Systems Option Topic #2 HSC IPT.
I Robot.
COMP 304: Artificial Intelligence. General Lecturer: Nelishia Pillay Office: Room F3 Telephone:
1 The main topics in AI Artificial intelligence can be considered under a number of headings: –Search (includes Game Playing). –Representing Knowledge.
Chapter 15: KNOWLEDGE-BASED INFORMATION SYSTEMS. What is Knowledge? Data: Raw facts, e.g., Annual Expenses = $2 million Information: Data given context,
Chapter 4 Decision Support System & Artificial Intelligence.
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.
Abdul Rahim Ahmad MITM 613 Intelligent System Chapter 10: Tools.
ARTIFICIAL INTELLIGENCE include people, procedures, hardware, software, data and knowledge needed to develop computer systems and machines that demonstrated.
Artificial Intelligence, simulation and modelling.
Artificial Intelligence Knowledge Representation.
COMPUTER SYSTEM FUNDAMENTAL Genetic Computer School INTRODUCTION TO ARTIFICIAL INTELLIGENCE LESSON 11.
TECHNOLOGY GUIDE FOUR Intelligent Systems. TECHNOLOGY GUIDE OUTLINE TG4.1 Introduction to Intelligent Systems TG4.2 Expert Systems TG4.3 Neural Networks.
Business Analytics Several odds and ends Copyright © 2016 Curt Hill.
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.
About games and the industry
Internet Econ: Google/Facebook POV
Chapter 11: Artificial Intelligence
Artificial Intelligence
DSS & Warehousing Systems
Done Done Course Overview What is AI? What are the Major Challenges?
TECHNOLOGY GUIDE FOUR Intelligent Systems.
Artificial Intelligence and Society
PROBLEM SOLVING CHECKLIST
First work in AI 1943 The name “Artificial Intelligence” coined 1956
Artificial Intelligence
Artificial Intelligence introduction(2)
TA : Mubarakah Otbi, Duaa al Ofi , Huda al Hakami
S.T.A.I.R CSCI N207 Data Analysis Using Spreadsheet Lingma Acheson
Introduction: Why Study Algorithms?
#1 Make sense of problems and persevere in solving them
Future of Artificial Intelligence
Computational Thinking
Introduction to Artificial Intelligence Instructor: Dr. Eduardo Urbina
Artificial Intelligence
Artificial Intelligence in Medicine
Annotation: Questions
Artificial Intelligence Machine Learning
Presentation transcript:

A game to collect common sense data Verbosities A game to collect common sense data Mihir Kedia

Introduction Artificial Intelligence Common Sense Verbosities

Introduction Artificial Intelligence Common Sense Verbosities AI: the good Artificial Intelligence has made many strides over the last several years. We have solid ideas on how to simulate a number of the thinking processes that are believed to make up intelligence. Neural networks Genetic algorithms The good The bad The ugly

Introduction Artificial Intelligence Common Sense Verbosities AI: the bad There remain fundamental tasks that computers are currently incapable of carrying out. Many researchers have conjectured that common sense knowledge is needed for computers to be able to handle these tasks. The good The bad The ugly

Interludium: What is common sense? Introduction Artificial Intelligence Common Sense Verbosities Interludium: What is common sense? Ordinary knowledge Hundreds of millions of pieces of knowledge. Ordinary reasoning How to organize, retrieve, and manipulate various factoids.

AI: the ugly The obvious problem is collecting common sense knowledge. Introduction Artificial Intelligence Common Sense Verbosities AI: the ugly The obvious problem is collecting common sense knowledge. Even worse, people are still attempting to determine how to represent common sense data. The good The bad The ugly

Common Sense First attempt: the Cyc project The OpenMind project Introduction Artificial Intelligence Common Sense Verbosities Common Sense First attempt: the Cyc project 1.5 million pieces of information collected over 20 years. The OpenMind project Relies on “netizens” for factoids. Have collected very few facts. No way to verify correctness.

Tell me 3 things I don’t know about milk. Introduction Artificial Intelligence Common Sense Verbosities Common Sense Tell me 3 things I don’t know about milk.

Digressionem: Taboo Introduction Artificial Intelligence Common Sense Verbosities Digressionem: Taboo

Introduction Artificial Intelligence Common Sense Verbosities Verbosities Problem #1: Why will people take the time to give us common sense facts? Solution: Construct an entertaining game that gives us the information we need.

Introduction Artificial Intelligence Common Sense Verbosities Verbosities Problem #2: How can we verify the correctness of the facts we collect with this game? Solution: Use humans as verification – make the game objectives such that they can only be completed given correct facts. Anonymous matching

Verbosities: Idea Similar to Taboo, Pictionary, etc. Introduction Artificial Intelligence Common Sense Verbosities Verbosities: Idea Similar to Taboo, Pictionary, etc. Sentence templates ___ is a kind of ___ ___ is similar to ___ Various types of common sense knowledge can be retrieved by changing the templates.

Terminus Mihir Kedia Luis von Ahn Manuel Blum Introduction Artificial Intelligence Common Sense Verbosities Terminus Mihir Kedia Luis von Ahn Manuel Blum