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Artificial Intelligence Applications in Distance Education
Artificial Intelligence Applications in Distance Education

... Utku Kose received the B.S. degree in 2008 from computer education of Gazi University, Turkey as a faculty valedictorian. He received M.S. degree in 2010 from Afyon Kocatepe University, Turkey and now, he continues D.S. / Ph. D. at Selcuk University, Turkey in the field of computer engineering. Betw ...
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AI_lecture1_einatbac..

... This hypothesis means that we can hope to implement this in the computer. • Note : Use of term “intelligent action” not “intelligence”. Compare with Searle “Chinese Room”. Copyright, 2003 All rights reserved ...
Introduction to Machine Learning
Introduction to Machine Learning

... instance to the same class as the “nearest neighbor”  more general methods try to find k nearest neighbors rather than just one  but, how do we define “resembles?” ...
Business & Society Archie B. Carroll Ann K. Buchholtz Ethics, Sustainability, and Stakeholder
Business & Society Archie B. Carroll Ann K. Buchholtz Ethics, Sustainability, and Stakeholder

... 1. Could undermine the ways of thinking or habits of mind that are needed in ethics thinking. ...
Binding Environmental Sciences and Artificial Intelligence on ECAI`98
Binding Environmental Sciences and Artificial Intelligence on ECAI`98

... was an interesting experience to drop into a world of environmental engineers and artificial intelligence researchers the discussion of new approaches to face management of environmental systems and new ways to solve problems. As pointed out in BESAI, managing environmental systems is not an easy ta ...
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence

... ♦ Course overview ♦ What is AI? ...
The Legacy of Alan Turing and John von Neumann
The Legacy of Alan Turing and John von Neumann

... Neumann is reviewed in detail. Their proposals discuss many areas of computational intelligence necessary to create automata with human-like intelligence. Right at the beginning of electronic computers researchers looked into nature for ideas to solve difficult problems or even create what is called ...
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... focus on one of the papers or systems from the references and write a report that includes your understanding and ideas. ...
Week11 - Information Management and Systems
Week11 - Information Management and Systems

... the chromosome selection and formulate the problem effectively.  Thus genetic algorithms should be considered at present more as an instrument for scientific research rather than as a tool for generic practical data analysis, for instance, in finance. ...
Knowledge-Driven Business Intelligence Systems: Part II
Knowledge-Driven Business Intelligence Systems: Part II

... chromosome selection and formulate the problem effectively. ƒ Thus genetic algorithms should be considered at present more as an instrument for scientific research rather than as a tool for generic practical data analysis, for instance, in finance. ...
DOI: 10.1515/aucts-2015-0011 ACTA UIVERSITATIS CIBINIENSIS
DOI: 10.1515/aucts-2015-0011 ACTA UIVERSITATIS CIBINIENSIS

... understand the functions of perception, learning and other mental functions. Knowledge of the human brain functions, central nervous system, allowing us to understand how the artificial neuronal networks (neural networks) work and are developed. In 2013, scientists from the University of Illinois, C ...
Searle, Subsymbolic Functionalism and Synthetic Intelligence
Searle, Subsymbolic Functionalism and Synthetic Intelligence

... paradigm. The proponents of the symbolic approach are quick to point out that connectionists still have not proved that it is possible in practice to use artificial neural networks (ANNs) to model high-level cognitive functions effectively. Nonetheless, this paper will be concerned with defending co ...
Exponential Family Distributions
Exponential Family Distributions

... C. M. Bishop. Neural Networks for Pattern Recognition. Oxford University Press, 1995. C. M. Bishop. Bayesian PCA. In S. A. Solla M. S. Kearns and D. A. Cohn, editors, Advances in Neural Information Processing Systems, volume 11, pages 382–388. MIT Press, 1999a. C. M. Bishop. Variational principal co ...
The Future of Artificial Intelligence -
The Future of Artificial Intelligence -

... Welcome to The Future of Artificial Intelligence Partner Event of the 2016 Global Entrepreneurship Summit at Stanford University. Today leading artificial intelligence (AI) researchers will discuss the most impactful research topics in AI and highlight the challenges and potentials of artificial int ...
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Powerpoint - John Provost

... There is a fallacy discussed in critical thinking called the wishful thinking fallacy. This means we take something as true because we wish it to be true, rather than because we have evidence backing up its truth. Just because we want to believe capitalism - or communism, for that matter - brings ou ...
Artificial Intelligence in Power Systems
Artificial Intelligence in Power Systems

... Commonly, artificial intelligence is known to be the intelligence exhibited by machines and software, for example, robots and computer programs. The term is generally used to the project of developing systems equipped with the intellectual processes features and characteristics of humans, like the a ...
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... resource  for  research  planners  and  the  general  public  concerning  trends  in  AI,  and  (4)  offer  training   for  the  current  and  coming  generations  of  AI  researchers  and  practitioners.    AAAI  sponsors   numerous  con ...
Examining the Work and Its Later Impact
Examining the Work and Its Later Impact

... structured and exploited in a many-level cascade of different functional competences. There is no principled divid-ing line between a sorta ape and an ape. The humanoid robot and the hand calculator are both made of the same basic, unthinking, unfeeling Turing-bricks, but as we compose them into lar ...
Breaking the Neural Code
Breaking the Neural Code

... • forward component of belief propagation: ...
Professor Peter Stone`s presentation
Professor Peter Stone`s presentation

... “The current social safety net may need to evolve into better social services for everyone, such as healthcare and education, or a guaranteed basic income. Indeed, countries such as Switzerland and Finland have actively considered such measures” ...
PDF - City University of Hong Kong
PDF - City University of Hong Kong

... Processing (NLP) is one of the mainstreams in Artificial Intelligence. Indeed, we have plenty of algorithms for variations of NLP such as syntactic structure representation or lexicon classification theoretically. The goal of these researches is obviously for developing a hybrid architecture which c ...
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... Matthias Neubauer ...
Lecture 45 - KDD - Kansas State University
Lecture 45 - KDD - Kansas State University

... – Selecting relevant data channels from continuous sources (e.g., sensors) – Applications: bioinformatics (genomics, proteomics, etc.), prognostics – See work by: Kohavi, John, Rendell, Donoho, Hsu, Provost ...
MS PowerPoint format - Kansas State University
MS PowerPoint format - Kansas State University

... Example Search Problems – Toy problems: 8-puzzle, 8-queens, cryptarithmetic, toy robot worlds, constraints – Real-world problems: layout, scheduling ...
Robotic-Spring06-3
Robotic-Spring06-3

...  e.g., if too high, turn down, if too low, turn up ...
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Ethics of artificial intelligence

The ethics of artificial intelligence is the part of the ethics of technology specific to robots and other artificially intelligent beings. It is typically divided into roboethics, a concern with the moral behavior of humans as they design, construct, use and treat artificially intelligent beings, and machine ethics, concern with the moral behavior of artificial moral agents (AMAs).
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