Global Positioning System Reference
In-Depth Information
simulation
A research and learning technique to reproduce real processes initi-
ated from real events in the real world. Simulations execute math-
ematical models of physical systems on a computer. The computer
is used to represent the dynamic responses of the real world, by the
behavior of the software simulation modeled after it.
In addition to the initial vision of RO, ROApp, and ROAF, the ROAF
Turing Test, that was described on page 18 in order to find a practical way
to actually test the word real or to measure a degree of reality should be
in the data dictionary.
ROAF Turing Test
Any process, event or object inside a simulation program can be
considered to be real, if it can not be distinguished from the real
thing it is simulating. It is realistic, if it replicates something in the
physical world without a difference.
All ROs and ROApps rely on the degree of reality of the other and
should validate any information against the real world whenever possible.
As you continue to think about and discuss a project, you will discover
more words to add to the data dictionary. More terms are included here to
provide the idea of the process; the reader can make his own list or discuss
this one:
real object
Any physical object, with a mass, a size (body), and a geographic
location on the globe.
All physical objects are ruled by the laws of
classical physics.
real world
The sum of all real objects and their interactions (events and pro-
cesses).
interactions
Real objects interact by referencing (perceiving), invoking methods
on each other and reacting (processing). In the physicists real-world
model, objects interact by exchanging particles. Simple interactions
like inelastic collisions can be described and calculated with conser-
vation laws. People can interact via communication by exchanging
words (strings).
model
A mathematical representation of an object, event or process. A
single model may contain multiple integrated models, each of which
represents a level of granularity for the physical system.
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