Models.

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Presentation transcript:

Models

A model can be purely passive

Narrowly Active A model can be active in one small facet, with the modeller providing the missing context - a wind-tunnel model, for example

Facet vs Autonomous As the system being modelled becomes more complex, the modeller can no longer maintain the context around multiple facet models because there are too many interactions, so the model needs to become autonomous

Broadly Active A model can be active and autonomous - the model aeroplane carries its own context - the connections between all the pieces

Active and Internal We want to build internal models of the world that are active and autonomous - that is, they carry their own context and require nothing outside of themselves that “understands” them

A Program as a Model Sensory Motor Layer Layer Programmer Business Knowledge Environment Sensory Layer Motor Layer The cognitive structure - the programmer - is used as scaffolding for the model, removed for operation

Autonomous Model A PLUS operator in a network may not seem like much, but it is an autonomous model, deciding within itself how to respond to change of state on its connections and which connection will be the output

Internal Model The world is dynamic For an internal model to successfully mirror the world, it has to be able to change its connections - to also be dynamic

Monkey See We build an internal model of the world, so we can predict future behavior - we make the model out of structure so we can combine it with other structure

Cognitive Model Environment Sensory Layer Motor A pilot provides the cognitive layer in a plane, active and capable of rearranging internal cognitive structure to suit changing circumstances

Increasing Complexity Sensory Layer Mechanised Cognitive Layer Motor Layer As systems operate faster and become more complex, it becomes appropriate to wrap a mechanised cognitive layer around the human

Internal Model The elements combine to form an active, uncommitted structure capable of self-modification See Predictive Models