A beginning tutorial on using Mac OSX to install, modify, and serve an award winning open source chat bot.
Daily Archives: December 9, 2004
IML, or Artificial Intelligence Mark-up Language enables people to input knowledge into chat-bots based on the A.L.I.C.E free software technology.
AIML was developed by the Alicebot free software community and I during 1995-2000. It was originally adapted from a non-XML grammar also called AIML, and formed the basis for the first Alicebot, A.L.I.C.E., the Artificial Linguistic Internet Computer Entity.
AIML, describes a class of data objects called AIML objects and partially describes the behavior of computer programs that process them. AIML objects are made up of units called topics and categories, which contain either parsed or unparsed data.
A Theory Belief Model for Cognitive Agents [DRAFT no cites] Todd Shimoda Colorado State University Introduction
Wired News: Beware of Bots Bearing Messages
That’s because you may be talking with Chatting AIM Bot,
a free service that lets anyone play a devious practical joke on a
friend, in which an artificially intelligent AOL instant message, or
AIM, bot carries on an innocuous, 10-minute conversation before finally
lowering the boom and informing the unwitting human at the other end
they’ve been had.
Intelligent Agents and How They Are Changing Online Learning
Intelligent Agents, or bots, are software programs that can accomplish tasks autonomously upon activation. They are now coming to be widely used in online learning environments and have taken many different forms, from automated information banks to comparison tools to course tutors.
This spring, two experts on intelligent agents, Steve Knode and Morris Pondfield, gave presentations at University of Maryland University College for the CVU’s Distance Education Scholars Program. Their presentations were subsequently repeated to UMUC overseas audiences in Heidelberg and Tokyo.
Responsive Face Demo detail
Detail from Ken Perlin’s
Responsive Face Demo,
NYU Media Research Lab
This site highlights Knode’s and Pondfield’s work on intelligent agents. You can choose between Knode’s full-length presentation or a series of mini-presentations delivered by Pondfield.
Natural Born Cyborgs: Minds, Technologies, and the Future of Human Intelligence
Interview with Andy Clark.
Natasha Mitchell: So your suggestion is that our mind is a lot bigger than our body, that somehow we kind of incorporate the world around us into our mind.
Andy Clark: Yeah, I guess the thought is that we’re kind of set up to do that so here’s a kind of parallel.
Some animals, but not all, have a sense of what’s called haptic touch, humans have it, chimpanzees have it. Haptic touch is a kind of sense whereby you can take a tool, and you can very quickly come to treat it as if it was part of your body. For example, you can take a rake and during the raking motion, if they record from cells in the monkey’s brain the cells that would normally represent the fingers of the hand can very quickly come to map the area of the tines of the rake. So in a way, immediately on the spot the body mage of the monkey has been adapted to encompass the tool. But I think that unlike the monkey we do it for more cognitive things as well, our brains are just set up to kind of loop out and exploit the environment around them for cognitive purposes.
Are You Ready for Social Software?
YEARS AGO, a logic professor beat it into my bony head that Sherlock Holmes had it all wrong when he consistently claimed to use deduction in solving his cases. It turns out he (or better, Arthur Conan Doyle) was using induction, which is, according to Webster’s, “the act or process of reasoning from a part to a whole, from particulars to generals, or from the individual to the universal.” In working from a paltry collection of clues to a full understanding of the actions and motives of the butler and his victim, Holmes/Doyle was, basically, developing a picture of the universe surrounding the crime from a few hints.
EducationGuardian.co.uk | E-learning | The semantic web
When discussing the semantic web, it is important to get one thing clear from the start: this is not a new version of the internet. Casual web users will probably not even notice semantic web technologies running behind their browsers. But they might notice a vast improvement in the relevance of the data returned to them through search engines. For adults and children alike, this could mean more time spent reading, watching and listening to immediately useful multimedia material, and less time filtering out junk search returns.