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Creativity – The Last Human Stronghold? Monday, December 24, 2007 - Israel Beniaminy Home >> Personal Column >> Israel Beniaminy Tags: A.I. artificial-Intelligence computers technology chess art Creativity poet israel Humans are better than machines. However, the advantages of humans over machines have been in steady retreat – we gave up on physical strength first, then on some mental capacities such as computation, and now we’re in the process of conceding machine superiority in mental tasks that used to be considered as evidence of high intelligence. Is there a last stronghold of capabilities machines will never have?

Creativity – The Last Human Stronghold? - TFOT

http://www.tfot.info/column/1003/creativity-the-last-human-stronghold.html

Artificial Intelligence authors/titles recent submissions

[ total of 123 entries: 1-25 | 26-50 | 51-75 | 76-100 | 101-123 ] [ showing 25 entries per page: fewer | more | all ] Fri, 29 Mar 2013 [1] arXiv:1303.7201 [ pdf ] [2] arXiv:1303.7200 [ pdf ] http://arxiv.org/list/cs.AI/recent
Most of this site is organized as a single flat html file. The links below let you navigate directly to the various subsections. Publications Research Group Members Teaching and Tutorial Material Professional Bio Educational Background Editorial and Professional Service Press My research interests include topics in machine learning, algorithmic game theory, social networks, computational finance, and artificial intelligence. I often examine problems in these areas using methods and models from theoretical computer science and related disciplines. While the majority of my work is mathematical in nature, I have also participated in a variety of empirical and experimental projects, including applications of machine learning to finance, spoken dialogue systems, and other areas. http://www.cis.upenn.edu/~mkearns/

Home Page for Professor Michael Kearns, University of Pennsylvan

Netflix Prize Results and Source Code

http://www.timelydevelopment.com/Demos/NetflixPrize.htm Overview When I heard about the Netflix Prize , I have to admit that I couldn't resist joining. The stated goal of this contest is to help Netflix improve their movie recommendation system. The team that can beat Netflix's own home-grown collaborative filtering system by 10% will win a million dollars.
Journal of Artificial Intelligence Research , 25 (2006) 17-74. Submitted 12/04; published 01/06 © 2006 AI Access Foundation. All rights reserved. Abstract:

Decision-Theoretic Planning with non-Markovian Rewards

http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume25/thiebaux06a-html/thiebaux06a-html.html
http://ai-depot.com/articles/category/essay/ « Previous Entries The Random Test Wednesday, July 9th, 2003 Any particular test of intelligence is destined to be biased towards certain abilities.

Latest Essays - Artificial Intelligence De

Self Organizing Map AI for P

http://www.generation5.org/content/2004/aiSomPic.asp Introduction this article is about creating an app to cluster and search for related pictures. i got the basic idea from a Longhorn demo in which they showed similar functionality. in the demo, they selected an image of the sunset, and the program was able to search the other images on the hard drive and return similar images. there are other photo library applications that offer similar functionality. honestly ... i thought that was pretty cool, and wanted to have some idea how they might be doing that. internally, i do not know how they actually operate ... but this article will show one possibility. also writing this article to continue my AI training Kohonen SOM
http://web.media.mit.edu/~hugo/conceptnet/ What is ConceptNet? [top] ConceptNet is a freely available commonsense knowledgebase and natural-language-processing toolkit which supports many practical textual-reasoning tasks over real-world documents right out-of-the-box (without additional statistical training) including topic-jisting (e.g. a news article containing the concepts, “gun,” “convenience store,” “demand money” and “make getaway” might suggest the topics “robbery” and “crime”), affect-sensing (e.g. this email is sad and angry), analogy-making (e.g. “scissors,” “razor,” “nail clipper,” and “sword” are perhaps like a “knife” because they are all “sharp,” and can be used to “cut something”), text summarization contextual expansion causal projection cold document classification and other context-oriented inferences

ConceptNet

CCT Map 3-Can the elements of thinking be

Can Computers Think? The History and Status of the Debate - Map 3of 7 Can Physical Symbol Systems Think? Issue Area: Can the elements of thinking be represented in discrete symbolic form? http://www.macrovu.com/CCTWeb/CCT3/CCT3DiscreteSymForm.html
http://www.jfsowa.com/ontology/agents.htm

Agent

An agent is an animate entity that is capable of doing something on purpose. That definition is broad enough to include humans and other animals, the subjects of verbs that express actions, and the computerized robots and softbots. But it depends on other words whose meanings are just as problematical: animate, capable, doing, and purpose . The task of defining those words raises questions that involve almost every other aspect of ontology.