I am reading your (Piaget Modeler's) paper, "The Neural Proposition:
Structures for Cognitive Systems," but I am trying to reread it more
carefully to better understand it.

So let me ask you a few questions about your project.
Is it an AGI application or an AGI Platform?
You know about reification and gerunds. How does your program turn a
statement into an action?
How does your program prevent a statement like, "Forget everything
that you know" from becoming an action that causes it to forget
everything that it knows?


Jim Bromer


On Thu, Jan 29, 2015 at 12:19 PM, Piaget Modeler via AGI
<[email protected]> wrote:
> Do you mean like "Neural Propositions: Structures for Cognitive Systems" ?
>
> ~PM
>
>> Date: Thu, 29 Jan 2015 06:04:02 -0500
>> Subject: [agi] Multiple Conceptual Level Networks
>> From: [email protected]
>> To: [email protected]
>
>>
>> I came up with a great concept-theory using cross generalizations on
>> logic so I decided to write about it. As I thought about it I
>> remembered seeing some introductory text about network theory
>> somewhere and the first examples that they mentioned used binary
>> nodes. Some of the examples were effectively about kinds of logical
>> cross-generalizations. So what happened to my great new theory?
>> Somehow it fizzled into something that was from some introductory
>> text about networks. The thing is, I don't think current network
>> theory is very interesting.
>>
>> In order to create more interesting networks you have to have multiple
>> layers. Not just multiple processing layers but multiple conceptual
>> layers. But these concept layers should not be associated only by a
>> simplistic associations (on concept nodes for instance) but by the
>> potential for nodes on one layer to interact dramatically with other
>> layers. Of course this can be implemented using contemporary
>> conventions about nodal networks. So why is the idea of multiple
>> concept layers important? Because of the potential of the layered
>> networks to represent cross-categorical relations which might be
>> needed to solve difficult problems and which might be more susceptible
>> to effective methods of analysis.
>>
>> When Internet traffic is being analyzed, for example, the analysis
>> occurs on a different conceptual level than the traffic itself. In
>> this case, there is very limited interaction with the traffic and the
>> analysis. If the analysis is sent to a web manager then the analytical
>> function is itself producing some traffic on the same system. The
>> number of conceptual levels in this example is extremely constricted
>> (there are 2 levels) and the interaction between the levels is tightly
>> constrained as well.
>>
>> But it is easy to imagine systems where there are many different kinds
>> of conceptual levels and a lot of different ways interaction can
>> occur. Can you do this with conventional notions about sub-networks?
>> Ok, but there are times when you need to free your mind from
>> conventional thinking.
>> Jim Bromer
>>
>>
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