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Markov Process Demonstration
This applet demonstrates a
Markov chains
and Markov processes,
which are commonly used stochastic models where
the future behaviour of the system depends solely on
the current state that the system is in.
Usage:
- In Add State mode you can add new states into the model.
- In Add Transition mode you can add new transitions by
first clicking the source state and then dragging the mouse pointer
over the destination state.
- In Enumerate States mode you can enumerate the states
by clicking the state in the order you prefer.
- In Edit mode you can adjust the transition probabilities
(note: simulator does not crosscheck the validity of the entered values,
self-transition is assumed if the sum of probabilities is less than 1.0)
- In Move mode you can move the states in the area or reshape
the transition curves.
- In Delete mode you can delete both states and transitions
by clicking them.
- The simulations are started in Simulate mode by clicking
the initial state with the mouse. Simulation can be stopped by
another click.
- The next option can be used to set the simulation speed.
- The last options contains a small set of examples.
References:
Back to java demos page.
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