Transcript State machines

State Machines
26-Jul-16
What is a state machine?
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A state machine is a different way of thinking about
computation
A state machine has some number of states, and
transitions between those states
Transitions occur because of inputs
A “pure” state machine only knows which state it is
in—it has no other memory or knowledge
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This is the kind of state machine you learn about in your
math classes
When you program a state machine, you don’t have that
restriction
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State machine I/O
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State machines are designed to respond to a sequence
of inputs, such as
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The individual characters in a string
A series of external events
State machines may produce output (often as a result
of transitions)
Alternatively, the “result” of a state machine may be
the state it ends up in
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Example I: Even or odd
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The following machine determines whether the number of As
in a string is even or odd
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Circles represent states; arrows represent transitions
A
start
even
A
anything but A
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odd
anything but A
Inputs are the characters of a string
The “output” is the resultant state
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Error states
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Some state machines may have a error state with the
following characteristics:
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An unexpected input will cause a transition to the error state
All subsequent inputs cause the state machine to remain in
the error state
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Simplifying drawings I
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State machines can get pretty complicated
We can simplify the drawing by leaving out the error
state
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The error state is still part of the machine
Any input without a transition on our drawing is assumed to
go to the error state
Another simplification: Use * to indicate “all other
characters”
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This is a convention when drawing the machine—it does not
mean we look for an asterisk in the input
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Example II: Nested parenthesis
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The following example tests whether parentheses are properly
nested (up to 3 deep)
(
(
(
OK
start
)
)
*
*
)
*
)
(
*
Error
*
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How can we extend this machine to handle
arbitrarily deep nesting?
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Nested parentheses II
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Question: How can we use a state machine to
check parenthesis nesting to any depth?
Answer: We can’t (with a finite number of states)
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We need to count how deep we are into a parenthesis
nest: 1, 2, 3, ..., 821, ...
The only memory a state machine has is which state it
is in
However, if we aren’t required to use a pure state
machine, we can add memory (such as a counter)
and other features
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Nested parentheses III
( do count=1
start
OK
) and count==1
do count=0
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( do count++
) and count>1
do count--
This machine is based on a state machine, but it
obviously is not just a state machine
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The states of a Thread
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A Thread is an object that represents a single flow of
execution through a program
A Thread’s lifetime can be described by a state machine
waiting
start
ready
running
dead
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A Memorization program
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A program to help people memorize paired-associates
might be designed like this:
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Some stimulus is presented
The user has to type in a response
A paired associate is considered “learned” when the user
answers correctly three times in a row
Each item (stimulus + response) can be thought of as a
state machine
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Here, however, we are looking at states of data rather than
states of a program
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Item states
wrong
wrong
start
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0th right
1st right
wrong
2nd right
3rd right
out
What’s the value in thinking of this as a state machine?
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Answer: When I wrote one of these for real use, I was able to
adjust the difficulty of the study session by measuring the
percentage correct from each state.
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Example: Making numbers bold
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In HTML, you indicate boldface by surrounding the
characters with <b> ... </b>
Suppose we want to make all the integers bold in an HTML
page—we can write a state machine to do this
end of input
output </b>
digit
output <b>digit
start
NORMAL
*: output *
NUMBER
end
digit
output digit
nondigit
output </b>nondigit
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State machines in Java
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In a state machine, you can have transitions from any
state to any other state
This is difficult to implement with Java’s loops and if
statements
The trick is to make the “state” a variable, and to
embed a switch (state) statement inside a loop
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Each case is responsible for resetting the “state” variable as
needed to represent transitions
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Outline of the bold program
void run() {
int state = NORMAL;
for (int i = 0; i < testString.length(); i++) {
char ch = testString.charAt(i);
switch (state) {
case NORMAL: { not inside a number }
case NUMBER: { inside a number }
}
}
if (state == NUMBER) result.append("</b>");
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The two states
case NORMAL:
case NUMBER:
if (Character.isDigit(ch)) {
if (!Character.isDigit(ch)) {
result.append("<b>" + ch);
result.append("</b>" + ch);
state = NUMBER;
state = NORMAL;
break;
break;
}
}
else {
else {
result.append(ch);
result.append(ch);
}
}
break;
break;
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Conclusions
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A state machine is a good model for a number of
problems
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You can think of the problem in terms of a state machine
but not actually do it that way (e.g. German vocabulary)
You can implement the problem as a state machine (e.g.
making integers bold)
 Best done as a switch inside some kind of loop
Pure state machines have some severe limitations
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Java lets you do all kinds of additional tests and actions;
you can ignore these limitations
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The End
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