Domain: greatmindsworking.com
Stories and comments across the archive that link to greatmindsworking.com.
Comments · 27
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Re:Oh Gawd! - mentifex kook has escaped usenet asy
Association for Computing Machinery on Mentifex artificial intelligence
Ben Goertzel, Ph.D., on Mentifex artificial intelligence
Comprehensive Perl Archive Network: Mentifex AI mind.txt gameplan
eGovOS Open-Source Government Reference Book includes Mentifex AI
Free Software Donation Directory: Mentifex AI Project
Nanomagazine interviews Mentifex on independent AI scholarship
Redpaper archive of Mentifex documents on artificial intelligence
AI has been solved.
Agents Portal selling Mentifex AI4U textbook of artificial intelligence
GameDev.net selling Mentifex AI4U textbook of artificial intelligence
GreatMindsWorking selling Mentifex AI4U: Mind-1.1 Programmer's Manual -
Re:AI Edge Will Bypass Industry Establishment!
Association for Computing Machinery on Mentifex artificial intelligence
Ben Goertzel, Ph.D., on Mentifex artificial intelligence
Comprehensive Perl Archive Network: Mentifex AI mind.txt gameplan
Free Software Donation Directory: Mentifex AI Project
Nanomagazine interviews Mentifex on independent AI scholarship
Redpaper archive of Mentifex documents on artificial intelligence
Agents Portal selling Mentifex AI4U textbook of artificial intelligence
GameDev.net selling Mentifex AI4U textbook of artificial intelligence
GreatMindsWorking selling Mentifex AI4U: Mind-1.1 Programmer's Manual -
Screen Shot
Here's a screenshot of my EBLA project using the new default look & feel and the new SwingSet navigation bar.
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How 'bout the Onager
Ammianus Marcellinus gave a pretty nice discourse on the Onager 400 AD.
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Re:Free AI Minds for Better, Smarter Contest-Robot
Association for Computing Machinery on Mentifex artificial intelligence
Ben Goertzel, Ph.D., on Mentifex artificial intelligence
Comprehensive Perl Archive Network: Mentifex AI mind.txt gameplan
Free Software Donation Directory: Mentifex AI Project
Nanomagazine interviews Mentifex on independent AI scholarship
Redpaper archive of Mentifex documents on artificial intelligence
AI has been solved.
Agents Portal selling Mentifex AI4U textbook of artificial intelligence
GameDev.net selling Mentifex AI4U textbook of artificial intelligence
GreatMindsWorking selling Mentifex AI4U: Mind-1.1 Programmer's Manual
SourceForge Mentifex Donations Page -
This might help...
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Somewhat Relevant Plug...Experience-Based Language Acquisition (EBLA) is an open source software system written in Java that enables a computer to learn simple language from scratch based on visual perception. It is the first "grounded" language system capable of learning both nouns and verbs. Moreover, once EBLA has established a vocabulary, it can perform basic scene analysis to generate descriptions of novel videos.
A more detailed summary is available here and this is the project web site.
Compared to proprietary systems such as Ai's HAL, Meaningful Machines Knowledge Engine, and Lobal Technologies LAD, EBLA is the only system to incorporate grounded/perceptual understanding of language.
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Codeweavers got Access working too...
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Well, I tried....
I tried to add my book, but there was no submit form - even after I created an account. Got a PHP error message so maybe its just
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Yet another (mostly) shameless plug...In contrast to the chatterbot quest, I've been working on software to provide computers with a more humanlike understanding of language.
Experience-Based Language Acquisition (EBLA) is an open source software system written in Java that enables a computer to learn simple language from scratch based on visual perception. It is the first "grounded" language system capable of learning both nouns and verbs. Moreover, once EBLA has established a vocabulary, it can perform basic scene analysis to generate descriptions of novel videos.
A more detailed summary is available here and this is the project web site.
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Another way to lose your domain...
Did you know that ICANN requires you to have a physical address in your registrar record? Someone tried take one of my ".net" domains on a technicality because I had a P.O. Box listed. More info here.
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Warning - Blatant Self-Promotion Below...
I taught computers to learn nouns and verbs based on visual perception this year. See here for more info.
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GroundingAlthough not as linguistically powerful as systems such as A.L.I.C.E., I have developed a system that can learn nouns and verbs based on visual perception. It starts to address the issue of teaching a computer to associate meaning with words.
If you happen to be interested, have a look here for more information. All of the source code is freely available.
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We're not close yet, but we're trying!I've been working on a system that acquires a language of nouns and verbs in a bottom-up fashion based on visual perception. It is by no means intelligent, but I truly believe that grounded, bottom-up learning is the key to A.I.
My dissertation is available online from my web site. I hope to have the (open source) source code posted later today.
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A very cool vision toolkit
EDISON, is a free C++ toolkit that performs edge detection and image segmentation. The image segmentation portion is based on mean-shift analysis.
A colleague and I are currently in the process of porting portions of EDISON to Java. -
A little more info...
Here are some links, etc. I gathered on Cyc a while back.
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Speech AND VisionMy argument has always been that language systems that use only language are stuck in a loop (i.e. words defined in terms of other words, defined in terms of other words, ad infinitum). These systems can do a lot, but have no true understanding of words.
As part of my dissertation research, I am building a Java-based system called E.B.L.A. (experience-based language acquisition), which allows a computer to learn language based on experiences that are grounded in perception using a computer vision system.
Of course having experiences grounded only in visual perception is a limitation, but it is a start.
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Common Frame of ReferenceMy two cents (and I am biased), is that the future of HCI involves the human and the computer sharing a common frame of reference.
My dissertation research involves developing a software system that will allow a computer to acquire a lexicon grounded in visual experiences. Thus words to a computer start to have some "meaning" rather than just being based on other words.
I'm working through the Robotics Research Lab at LSU.
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Game engines for A.I. researchNot sure how useful embedded A.I. logic in gaming can be to academia, but using a game engine as a platform for developing and testing A.I. offers a lot of potential.
My research involves modeling human language acquisition, grounded in "visual" experiences. While I'm pretty much developing a crude vision system from scratch for my prototype (because I want to use some real video) my next step will be to try the same logic inside of a game engine. With a game engine, I can query exact details of objects and their motions, without the great complexities of a computer vision system.
Until computer sensor systems catch up, game engines provide a wonderful opportunity for testing A.I.
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More on new recognition techniques...
This article discusses a new 3-D computer vision system that uses infrared light to perform depth perception.
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Alternate Link
Upgraded the site today and realized that my article addressing changed. Click here instead.
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Some pictures of our server roomWe recently built a new office and put quite a bit of thought into the server room. You can see some pictures here (server room pics at the bottom).
Some of our considerations included:
- LOTS of conduit dropping into the server room
- separate A/C
- plenty of 110 & 220 circuits
- separate electrical panel tied to a generator by-pass switch
- workbench
- plywood on all the walls (for mounting equipment, stapling, etc.)It is by far my favorite room in the building!
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GroundingAlong the same lines as the Chinese Room argument, I believe that the key to human-like A.I. is grounding. If we can build a system that can acquire a core of knowledge in a bottom-up fashion based in sensory perception then, in theory, a computer and a person could relate to one another based on some set of common experiences.
My dissertation research (see my web site) is hopefully a small stepping-stone in this direction. It involves building a software system that can acquire a basic lexicon based on visual experiences.
This, of course, does not touch on such ideas as emotion and motivation that would be crucial to the popular concepts of A.I., but in my mind, the grounding must come first. Note that some interesting work on emotion and motivation has been done by Steve Allen.
Having said that, top-down A.I. has made some incredible accomplishments considering that it has only been around for a short while (relatively speaking). However to paraphrase Steve Grand in his book Creation, Life and How to Make It, just because something exhibits intelligent behavior does not make it intelligent.
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You can have AOL & their user base
AOL and most of their user base are just a hindrance to society and the advancement of technology. Here is a perfect example...
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Two different audiences...
The problem with AOL buying RedHat is that the user bases couldn't be more oppposite! This little story is a prime example of what I'm talking about.
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Another option for fans of HAL...I'm sorry to see that Artificial Intelligence NV is having troubles. My computer science dissertation research at the LSU Department of Computer Science involves building a computer model of human language acquisition, and I feel that the more working in this area, the better.
For those of you that might be interested, I just launched a new site dedicated to models of human language acquisition. Over time I hope to provide a repository of relevant news on researchers, conferences, papers, and books from fields including A/I, computational linguistics, developmental psychology, machine learning, and cognitive science.
I will also use the site to share information about my own work. Like HAL, my model learns (and "learn" should always be taken with a grain of salt) from the bottom-up, but the words it acquires are grounded in visual perception. The basic idea is to resolve nouns to objects and verbs to actions/relationships in short spatial-motion videos. My work is based on work by Jeffrey Mark Siskind, David Bailey, Jan Norris, and Katherine Nelson.
Upon completion of my dissertation, I hope to release some or all of the Java code for my model on the site.
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Another option for fans of HAL...I'm sorry to see that Artificial Intelligence NV is having troubles. My computer science dissertation research at the LSU Department of Computer Science involves building a computer model of human language acquisition, and I feel that the more working in this area, the better.
For those of you that might be interested, I just launched a new site dedicated to models of human language acquisition. Over time I hope to provide a repository of relevant news on researchers, conferences, papers, and books from fields including A/I, computational linguistics, developmental psychology, machine learning, and cognitive science.
I will also use the site to share information about my own work. Like HAL, my model learns (and "learn" should always be taken with a grain of salt) from the bottom-up, but the words it acquires are grounded in visual perception. The basic idea is to resolve nouns to objects and verbs to actions/relationships in short spatial-motion videos. My work is based on work by Jeffrey Mark Siskind, David Bailey, Jan Norris, and Katherine Nelson.
Upon completion of my dissertation, I hope to release some or all of the Java code for my model on the site.