My feeling is that it is better to classify the AGI projects alone multiple dimensions, rather than a single one.
1. Their exact goal (or their working definition of intelligence). On this aspect, I've tried to put them into 5 groups: * structure (e.g., to build brain model) * behavior (e.g., to simulate human mind) * capability (e.g., to solve hard problems) * function (e.g., to have cognitive facilities) * principle (e.g., to establish general theory) examples are in http://www.cis.temple.edu/~pwang/203-AI/Lecture/AGI.htm 2. Their technical strategy. So far I see 3 schools: * to integrate existing AI techniques (some people in mainstream AI are moving in this direction) * to establish an overall architecture, with modules that are based on different techniques (some mainstream AI people do this under the name of "cognitive architecture"; integrative AGI projects are also in this school) * to develop a unified core technique, then to extend it in various directions (some AGI projects mainly depend on a single technology) 3. Their major technology. This list is never complete, though the most common ones are: *. logic *. probability theory *. knowledge base *. production system *. natural language processing (the above are often collectively called "symbolic") *. neural network *. evolutionary computation *. robotics Pei On 5/9/07, John G. Rose <[EMAIL PROTECTED]> wrote:
Is there a standard taxonomy of AGI that is referred to when talking about different AGIs or near AGIs? Saying that a software is an AGI or not an AGI is not descriptive enough. There are probably very few AGIs but many close AGIs and then many, many AIs. Software programs are like the plant and animal kingdom since they breed and multiply and evolve... John ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?&;
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