has seen the movie Artificial Intelligence by Steven Spielberg (or mostly everyone). The first thing they think it is would be simple‚ Robots. Robots who act and look like humans. The answer to what is Artificial Intelligence is truly bigger than a lot of human beings. I’m saying this because with all honesty Artificial Intelligence started out with something that most people do not have after the age of 10. That something is called “an imagination”. Artificial Intelligence is engineering and
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Preface Artificial intelligence is about natural information processing systems as well as artificial systems‚ and not just about how they perceive‚ learn and think‚ but also about what they want and how they feel. It has already had a profound impact on the study of human minds. The concept of artificial intelligence began with an ambitious research agenda that was to make machines with some of the traits we value most highly in ourselves: the ability to reason‚ problem solving capacity‚ creativity
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Artificial intelligence (AI) is the human-like intelligence exhibited by machines or software. It is also an academic field of study. Major AI researchers and textbooks define the field as "the study and design of intelligent agents"‚[1] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.[2] John McCarthy‚ who coined the term in 1955‚[3] defines it as "the science and engineering of making intelligent machines".[4] AI research
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Artificial Intelligence A machine is said to be intelligent if it deceives a human into believing that it was a human. What is Artificial Intelligence? Artificial Intelligence (AI) is concerned with building machines that can act‚ react and adapt themselves in response to a variety of situation and display behavior at least comparable to normal Human Intelligence History & Origin of AI The history of AI is as old as human history. Primitive man invented games like chess as today
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material KENYA METHODIST UNIVERSITY DLM BOOKLET FAULTY : COMPUTING AND INFORMATICS DEPARTMENT : COMPUTER SCIENCE COURSE CODE COURSE NAME LECTURER CONTACT : CISY422/BBIT333 : ARTIFICIAL INTELLIGENCE : ROBERT MUTUA MURUNGI : 0710 480 450‚ r_mutua@yahoo.com 1st edition ©2012 Artificial Intelligence by Robert Mutua Murungi – I.T Lecturer 1 Kenya Methodist University DLM instructional material KENYA METHODIST UNIVERSITY P.O. BOX 267 Meru 60200 Kenya Tel. +254-020-2118423/24/25/26/27
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Critique of Artificial Intelligence Journalist John Markoff wrote the article “Computer Wins On ‘Jeopardy!’: Trivial‚ It’s Not”. He discusses how the super computer “Watson” defeated the all time champion of “Jeopardy!” Ken Jennings. The author‚ throughout the article‚ agrees that the supercomputer “Watson” was a fair match against Ken Jennings. I disagree with Markoff for multiple reasons. This was in no way a fair match because the computer had a remarkable ability to answer questions at
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Expert Systems (COSC 208) What is an Expert System? Expert system is an artificial intelligence program that has expert-level knowledge about a particular domain and knows how to use its knowledge to respond properly. In this context‚ a domain refers to the area within which the task is being performed. Ideally the expert systems should substitute a human expert. Edward Feigenbaum of Stanford University has defined expert system as “an intelligent computer program that uses knowledge and inference
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Philosophy Assignment Three Proving Artificial Intelligence For many years one of the greatest debates between many notable philosophers has been the nature of Artificial Intelligence. Much of this debate has been centered around whether or not this Artificial Intelligence is capable of concious thought or that it simply just appears to think and is not actually conscious in the same way as is a human brain. In this paper I will take into acount the views of William Lycan‚ John Searle
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------------------------------------------------------------------------------------------------------- CS1351 –ARTIFICIAL INTELLIGENCE VI SEMESTER CSE AUTHORS N.Vivekananthamoorthy S.Sankar Department of CSE KCG College of Technology‚Chennai-97 UNIT-II (2) SEARCHING TECHNIQUES ----------------------------------------------------------------------------------------- 2.1 INFORMED SEARCH AND EXPLORATION 2.1.1 Informed(Heuristic) Search Strategies 2.1.2 Heuristic Functions
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Network architecture of the long-distance pathways in the macaque brain 1 of 11 http://www.pnas.org/content/107/30/13485.full Top Abstract Model: Deriving the Network Description Proceedings of the National Academy of Sciences www.pnas.org (/) > Current Issue (/content/107/30.toc) > vol. 107 no. 30 > Results Dharmendra S. Modha‚ 13485–13490 Discussion (/content Acknowledgments Footnotes Dharmendra S. Modha (/search?author1=Dharmendra+S.+Modha&sortspec=date&submit=Submit)
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