By B. Goertzel
The subject of this booklet - the construction of software program courses showing large, deep, human-style common intelligence - is a grand and bold one. And but it really is faraway from a frivolous one: what the papers during this ebook illustrate is that it's a healthy and correct topic for severe technology and engineering exploration. not anyone has but created a software with human-style or (even approximately) human-level normal intelligence - yet we've got a sufficiently wealthy highbrow toolkit that it truly is attainable to contemplate one of these risk intimately, and make critical makes an attempt at layout, research and engineering. hazard intimately, and make severe makes an attempt at layout, research and engineering. this is often the location that resulted in the association of the 2006 AGIRI (Artificial normal Intelligence learn Institute) workshop; and to the choice to put up a ebook from contributions by means of the audio system on the convention. the fabric offered right here in simple terms scratches the outside of the AGI-related R&D paintings that's happening world wide at this second. however the editors are happy to have had the opportunity to be taken with organizing and proposing at the least a small percent of the modern progress.
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Additional info for Advances in artificial general intelligence: concepts, architectures and algorithms
One possibility to complete a new schema is to combine existing schemas. When created, a new schema needs to be tested. Wang: Creativity occurs in NARS when the derived task/belief/concept does not exists in the system previously. There is no separate mechanism responsible for it, and whether an item is “creative” is sometimes a matter of degree. ” If so, what are the similarities and differences? Franklin: IDA doesn’t learn and has handcrafted motivations in the form of drives attached to the behavior net.
Figure 10 below will provide a useful map for our tour. Note, that this cognitive cycle is highly complex, and yet all of this must be accomplished in every cognitive moment. Computational resources may well prove an issue. Beginning at the upper left of Fig. 10, we see stimuli coming in from both the internal and the external environment. Recall that, by definition, every autonomous agent is a part of its environment. LIDA is modeled after humans; we have to deal with both external and internal stimuli.
In April of 2004, DARPA, the Defense Advanced Research Projects Agency sponsored a workshop on Self-Aware Computer Systems which led to a call for proposals to create such systems. AAAI-06 had a special technical track on integrated intelligent capabilities, inviting papers that highlight the integration of multiple components in achieving intelligent behavior. All these are trends toward developing an artificial, human-like, general intelligence. The next major step in this direction was the May 2006 AGIRI Workshop, of which this volume is essentially a proceedings.
Advances in artificial general intelligence: concepts, architectures and algorithms by B. Goertzel