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We ask that comments and discussion on this series be made in the Yahoo groups from, eventChemistry.

AP1 – On enumeration by the human of the cell values over an event class

AP2– Minimal Voting Procedure

AP3 – Using the MVP to rout information

AP4 – Using eventChemistry to improve the framework specification

 

Action Perception Cycles 1

 

On enumeration by the human of the cell values over an event class

 

 

In SBF3 we considered the 

 

Domain space = { E l | l = 1, . . . , 100 }

 

described by the 1900 individual data pieces

 

 { < a(0), a(1), a(2), . .  . , a(18) > l   | l = 1, . . . , 100  }

 

that are created by completely filling out the SB-Framework’s 18 cell and 1 name tag for each of the 100 events. 

 

The Sowa-Ballard Framework

 

{ independent, relative, mediating }

{ physical, abstract }

{ occurrent, continuant, universal }

 

is considered to be more general than the Zachman Framework.  Either one of these frameworks can be learned, by almost anyone, in a few hours.  One gets used to thinking about “relative physical universal” as “interaction, which is the (2,1,3) cell of the Ballard Framework, for example.  In using the Zachman Framework one actually has guidance form the Zachman Institute and from several published books.  A clerk whose job it is to develop enumerations of frameworks simply gets good at converting tacit knowledge into what is then processed to become the designated structural coupling between events.

The process of enumerating the cell values for 100 events might take a day or two if the human is familiar with the events.  These events can literally be anything, individual text reports or events that have caused a crisis management group to assemble. 

The events might even be some event in computational space, such as database accesses, and the cells might be automatically populated by first order logics (consisting of if then expressions) and something like a Petri net.  But we are focusing on the case where the Generalized Framework is presented to a human as part of a knowledge elicitation process.

Figure 1: The process flow model of human memory formation, storage and use.

In the case that we have a human in the loop, we have an extension of the model of human memory, awareness and anticipation that Prueitt has derived from basic research in behavioral cognitive science.  Once this model is achieved, then one is free to use the tri-level architecture specified in the book “Foundation of Knowledge Management”, by Prueitt, in press) and in particular to use the minimal voting procedure invented by Prueitt in 1996.

 

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