The proximity sensor is the emergent engine of the virtual space.
The difference between a scene and a situation is proximate space in motion.
The intensions of the space are operations of the object mapped to it.
Say, avatars + proximity sensors in motion.
An avatar has types and operations, eg, norms and affordances as some pragmatists would say.
Proximate space vectors are the situation semantic as scalar relationships among proximate spaces in motion limited by the norms and affordances of the objects mapped to that proximate space and proximate spaces within it.
Reciprocity among objects in motion in proximate space coevolves the norms and affordances of objects and the containing space: tensorWorlds. In a tensorWorld, everything is a stream of events in motion.
"Row Row Row Your Boat..."
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