What do you mean by "checking a concept"?  How does one go about doing that? 
How do people check concepts embedded in their neuron network? How doyou do it? 
Kindly advise.
~PM

> Date: Sun, 5 Apr 2015 07:44:08 -0400
> Subject: Re: [agi] Continuous Reality Checking
> From: [email protected]
> To: [email protected]
> 
> In one sense an AGI program should always be examining how its
> 'learned' behavior is working when applied to the 'real world'.  These
> studies would not always be intensive or occur all of the time.
> 
> I also think that there is a problem since the same sort of methods
> that are used to develop concepts would be used in checking them. But
> given that the program is capable of some genuine learning the ideas
> used in reexamining a model might be quite different than those used
> in originally creating it. Of course an AGI program would be capable
> of, and tend to utilize, different pathways of thought so it does not
> even have to learn anything new to use different strategies when
> checking some concept against the 'reality'.
> 
> In reason based reasoning (I think some people may still get annoyed
> by that particular idea) the reasons behind a concept (behind the
> structural relations of concepts needed to represent concept-like
> knowledge) may be examined and that can lead to different speculations
> about the concept-like knowledge. So this is one way that checking
> with the real world, or a consensus about the real world, can lead to
> some new insights. However, because this 'reality' checking is not
> keyed to some pre-set basis it will lead to more difficulties of
> choosing which ideas are more sound.
> Jim Bromer
> 
> 
> On Sat, Apr 4, 2015 at 9:18 PM, John Rose <[email protected]> wrote:
> >> -----Original Message-----
> >> From: Jim Bromer [mailto:[email protected]]
> >>
> >> I think the question of how an effective AGI program can be constructed is 
> >> still
> >> unanswered. Even supposing (as I do) that you can start with simple 
> >> programs
> >> (that are not going to be powerful) you still have to answer the question 
> >> of how
> >> the program can create models of reality before you can check them. The
> >> article, Hybrid Automata for Formal Modeling and Verification of 
> >> Cyber-Physical
> >> Systems, that you mentioned looks very interesting and the fact that they 
> >> are
> >> writing about something that is based on actual experiences is helpful.
> >> However, since their modeling basis does not look entirely relevant, you 
> >> have to
> >> wonder if they are going to be able to answer the most important questions 
> >> that
> >> we -should be-asking.
> >>
> >
> > The paper is just an example of what can be done with hybrid automata based 
> > model checking. It's not really meant to answer deep AGI questions but 
> > rather be just a simple single color example in a broad spectrum of colors. 
> > Where I noticed this is in my research of automata based multi-agent 
> > emergent systems thinking trying to define agent structure using tuples. A 
> > more grandiose model checking system would not appear as specific... models 
> > might not exist as delineated entities in representation.
> >
> > To your point though - I think a program can create models in reality by 
> > initially participating in a consensus reality de facto and since we create 
> > the program and are participating members of the consensus as are base 
> > physical systems and involved virtual systems lended to the functional 
> > inception. Post "incubation" AGI reality pulls perception into it, so to 
> > say, models represented could effectively emerge through realizing a 
> > structural potential in a hosted abstraction medium perhaps through a 
> > reaction-diffusion morphogenesis? In a multi-agent emergence scenario that 
> > is...
> >
> > John
> >
> >
> >
> >
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