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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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