logging in or signing up An Introduction to AI 1car Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 20020 Category: Education License: All Rights Reserved Like it (17) Dislike it (1) Added: April 17, 2007 This Presentation is Public Favorites: 6 Presentation Description No description available Comments Posting comment... By: yuexiangyu (9 month(s) ago) i want to download this ppt for my college research...thank you...my email id is yuexiangyu168@gmail.com Saving..... Post Reply Close Saving..... Edit Comment Close By: inderpreet16 (10 month(s) ago) plz send on inders.chawla@gmail.com.....thanxx Saving..... Post Reply Close Saving..... Edit Comment Close By: mahi_209 (10 month(s) ago) plz send link to download this ppt.................my email id:- mahesh_209sikarwar@rediffmail.com Saving..... Post Reply Close Saving..... Edit Comment Close By: dhrj2007 (11 month(s) ago) plzz send copy of this to dhrj2007@yahoo.com Saving..... Post Reply Close Saving..... Edit Comment Close By: raffiya (12 month(s) ago) plz send this ppt to mail raffiya.mohammed@gmail.com plz send me it is very useful to me Saving..... Post Reply Close Saving..... Edit Comment Close loading.... See all Premium member Presentation Transcript An Introduction to Artificial Intelligence.: <![CDATA[ An Introduction to Artificial Intelligence. What is intelligence? the ability to learn or understand or to deal with new … situations … the ability to apply knowledge … or to think abstractly … Merriam-Webster Online Dictionary. ]]>Slide2: <![CDATA[ Artificial Intelligence (AI) is the study of how to make computers behave intelligently. These are some examples of tasks performed by AI systems: machine translation medical diagnosis game playing Bonjour]]>The Turing Test: <![CDATA[ The Turing Test Proposed by Alan Turing in 1950. Q A Q A Q A]]>Engineering or Science: <![CDATA[ Engineering or Science Engineering building systems that behave intelligently in order to solve practical problems focus on constructing a piece of software Science building systems that behave intelligently in order to better understand intelligence focus on understanding intelligence]]>Strong A.I. and Weak A.I.: <![CDATA[ Strong A.I. and Weak A.I. Strong AI A computer running suitable software actually is intelligent. Weak AI Intelligence is something that only biological systems can possess. The best that can be accomplished with a machine is to simulate intelligence. Distinction first made by John Searle.]]>Neighbouring Disciplines: <![CDATA[ Neighbouring Disciplines Philosophy Logic: valid reasoning How does the mind relate to the brain? Mathematics Logic: valid reasoning What can/can’t be computed? Psychology How do humans think? What are the processes that underlie intelligence? Computer engineering How can we build an efficient computer? How can we construct effective computer software?]]>Early History of A.I.: <![CDATA[ Early History of A.I. 1956: AI is born at the Dartmouth workshop. 1956: Newell & Simon present Logic Theorist at Dartmouth Workshop. 1958: McCarthy defined the Lisp programming language. 1965: Robinson described resolution principal. 1972: Winograd constructed SHRDLU natural language understanding system. 1972: First implementation of Prolog.]]>Expectation and Reality: <![CDATA[ Expectation and Reality Expectation computer systems with robust and flexible intelligent behaviour the ability to match, or improve on, human performance AI systems in widespread use Reality approaches that were successful in micro-worlds failed to scale up to more complex domains AI still not moved out of the laboratory]]>Knowledge-Based Systems: <![CDATA[ Knowledge-Based Systems The lessons of early AI work indicated that successful systems could be built for limited domains. They need two things: a domain specific knowledge base a general purpose reasoning system The KBS approach emphasises domain specific knowledge rather than general purpose reasoning. This was found to be the best way to scale-up an AI system.]]>This Module: <![CDATA[ This Module Prolog programming language a general purpose programming language a general purpose reasoning system a knowledge representation language Knowledge-based systems knowledge representation reasoning]]>Exercises: <![CDATA[ Exercises What can you deduce about Tweety from the following statements? All birds can fly Tweety is a bird Explain your reasoning.]]>Exercises: <![CDATA[ Exercises What can you deduce about Thelonious? All dudes are cool, Thelonious is a dude What can you deduce about Nina? All flerps can flimble, Nina is a flerp]]>Exercises: <![CDATA[ Exercises On the basis of the following, we can deduce that Pingu can fly. All birds can fly, All penguins are birds Pingu is a penguin This appears to conflict with the real world. Where does the problem lie?]]>Acknowledgements: <![CDATA[ Acknowledgements Russell & Norvig. Artificial Intelligence: A Modern Approach (2nd Edition). Chapter 1.]]> You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
An Introduction to AI 1car Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 20020 Category: Education License: All Rights Reserved Like it (17) Dislike it (1) Added: April 17, 2007 This Presentation is Public Favorites: 6 Presentation Description No description available Comments Posting comment... By: yuexiangyu (9 month(s) ago) i want to download this ppt for my college research...thank you...my email id is yuexiangyu168@gmail.com Saving..... Post Reply Close Saving..... Edit Comment Close By: inderpreet16 (10 month(s) ago) plz send on inders.chawla@gmail.com.....thanxx Saving..... Post Reply Close Saving..... Edit Comment Close By: mahi_209 (10 month(s) ago) plz send link to download this ppt.................my email id:- mahesh_209sikarwar@rediffmail.com Saving..... Post Reply Close Saving..... Edit Comment Close By: dhrj2007 (11 month(s) ago) plzz send copy of this to dhrj2007@yahoo.com Saving..... Post Reply Close Saving..... Edit Comment Close By: raffiya (12 month(s) ago) plz send this ppt to mail raffiya.mohammed@gmail.com plz send me it is very useful to me Saving..... Post Reply Close Saving..... Edit Comment Close loading.... See all Premium member Presentation Transcript An Introduction to Artificial Intelligence.: <![CDATA[ An Introduction to Artificial Intelligence. What is intelligence? the ability to learn or understand or to deal with new … situations … the ability to apply knowledge … or to think abstractly … Merriam-Webster Online Dictionary. ]]>Slide2: <![CDATA[ Artificial Intelligence (AI) is the study of how to make computers behave intelligently. These are some examples of tasks performed by AI systems: machine translation medical diagnosis game playing Bonjour]]>The Turing Test: <![CDATA[ The Turing Test Proposed by Alan Turing in 1950. Q A Q A Q A]]>Engineering or Science: <![CDATA[ Engineering or Science Engineering building systems that behave intelligently in order to solve practical problems focus on constructing a piece of software Science building systems that behave intelligently in order to better understand intelligence focus on understanding intelligence]]>Strong A.I. and Weak A.I.: <![CDATA[ Strong A.I. and Weak A.I. Strong AI A computer running suitable software actually is intelligent. Weak AI Intelligence is something that only biological systems can possess. The best that can be accomplished with a machine is to simulate intelligence. Distinction first made by John Searle.]]>Neighbouring Disciplines: <![CDATA[ Neighbouring Disciplines Philosophy Logic: valid reasoning How does the mind relate to the brain? Mathematics Logic: valid reasoning What can/can’t be computed? Psychology How do humans think? What are the processes that underlie intelligence? Computer engineering How can we build an efficient computer? How can we construct effective computer software?]]>Early History of A.I.: <![CDATA[ Early History of A.I. 1956: AI is born at the Dartmouth workshop. 1956: Newell & Simon present Logic Theorist at Dartmouth Workshop. 1958: McCarthy defined the Lisp programming language. 1965: Robinson described resolution principal. 1972: Winograd constructed SHRDLU natural language understanding system. 1972: First implementation of Prolog.]]>Expectation and Reality: <![CDATA[ Expectation and Reality Expectation computer systems with robust and flexible intelligent behaviour the ability to match, or improve on, human performance AI systems in widespread use Reality approaches that were successful in micro-worlds failed to scale up to more complex domains AI still not moved out of the laboratory]]>Knowledge-Based Systems: <![CDATA[ Knowledge-Based Systems The lessons of early AI work indicated that successful systems could be built for limited domains. They need two things: a domain specific knowledge base a general purpose reasoning system The KBS approach emphasises domain specific knowledge rather than general purpose reasoning. This was found to be the best way to scale-up an AI system.]]>This Module: <![CDATA[ This Module Prolog programming language a general purpose programming language a general purpose reasoning system a knowledge representation language Knowledge-based systems knowledge representation reasoning]]>Exercises: <![CDATA[ Exercises What can you deduce about Tweety from the following statements? All birds can fly Tweety is a bird Explain your reasoning.]]>Exercises: <![CDATA[ Exercises What can you deduce about Thelonious? All dudes are cool, Thelonious is a dude What can you deduce about Nina? All flerps can flimble, Nina is a flerp]]>Exercises: <![CDATA[ Exercises On the basis of the following, we can deduce that Pingu can fly. All birds can fly, All penguins are birds Pingu is a penguin This appears to conflict with the real world. Where does the problem lie?]]>Acknowledgements: <![CDATA[ Acknowledgements Russell & Norvig. Artificial Intelligence: A Modern Approach (2nd Edition). Chapter 1.]]>