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Just about every
competitive sport, such as American Football, Baseball, Tennis and Golf could
be analyzed using Finite State Machine concepts. The game play
rules for each sport specify the various events and conditions that
would cause state transitions, such as scoring, timeouts, and penalties.
It is the dynamics and strategies of how each individual game plays out
(transitions among predefined states) that provides interest for
spectators and a determination of competitors' skills. Such a system
could assist officials during game play, as well as to provide an
accurate account of an entire game or match. In this case, an
Abstract System could be Analyzed using Finite State Machine concepts.
One could (should)
question why current economic systems exhibit such unpredictable and
volatile behavior. With clear objectives (requirements)
established, such systems could be Designed as a complex system of
components and attributes, each of which exhibiting State Machine behavior.
Despite the complexities of human behavior's influence on economic
systems, a 'black-box' design, with appropriate control feedback, is
conceivable and would free up resources currently applied to attempting
to predict how the current system will react to a specific event or
condition. In this case, Finite State Machine concepts could be utilized
for the modeling and Design of an Abstract system with deterministic
behavior.
In the spirit of
energy conservation, the use of Finite State logic could improve the
synchronization of traffic signals for our highway travel and reduce
energy waste. Traffic signals themselves are good candidates for
Finite State Machine implementation. In fact, the
Staccato™ Crossroads SDK
includes traffic signals as part of the demonstration project. However,
Finite State logic would also be useful to Design and implement
synchronization algorithms to improve our driving experience by saving
time and energy. Surprisingly, optimizing highway traffic flow is a
complex problem, given the network of intersections, traffic flow
patterns as a function of time-of-day, and day-of-the-week, as well as
accommodating emergency vehicle priorities. The use of effective highway
vehicle sensors
would act as primary input to these state machines. This provides an example of how
Finite State Machine concepts could be used to improve upon the and Design of better
traffic signal synchronization.
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