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Main » Programming
A.I. System in Arcade GamesThe first arcade games were built on discrete logic and were strictly based on competition between the players. Therefore, there wasn’t any A.I. system. Heuristic algorithms have been used in the arcade games. The common method of controlling an NPC in the game was by scripting. ‘Path finding’ is another common A.I. system that has been used in the real time strategy games. ‘Path finding’ works by calculating how to get an NPC from one place to another after considering the terrain and obstacles. Games like Quake and Pursuit based all the enemy actions on particular stored patterns. The space invaders further refined this movement, by adding in-game events which were dependent on the hash functions. This resulted in more varied and complex enemy movements. Pac-Man incorporated this technology, at the same time jazzing it up by providing different personalities for each ghosts. Although the ghost movem
...
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7.0 LAST WORDS
=======================================
Well in this tutorial we looked at Logic Gates
and how they perform functions on binary numbers,
Gates can be used to build up much better
and sophisticated functions such as loops and comparisons,
used together these can easily perform multiplication
and division and we can use these in everyday equipment,
from washing machines and microwave ovens to motion sensitive
cameras and pc's.
SHOUTS
=======================================
Starman_Jones - Thanks for everything over the years (
especially for my own room).
Vsus - I am never drinking Tsambuca with you again :P.
Delusive - Nice arse luv :P.
BSRF - Thanks to every-1 at BSRF for releasing this and for
being a good laugh :).
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6.0 BINARY ADDITION
=======================================
So we all know how to add decimal numbers (im presuming), its easy
1 1 1
+ 1 + 2 + 3
--- --- ---
= 2 = 3 = 4
But how do we add in binary? Easy watch this
0 0 1 1
+ 0 + 1 + 0 + 1
--- --- --- ---
= 0 = 1 = 1 = 10
Thats fine but with 1+1 we get a carry over that we have to
deal with. So we add an extra space to handle the carry.
0 0 1 1
+ 0 + 1 + 0 + 1
--- --- --- ---
= 00 = 01 = 01 = 10
Lets write a truth table to handle this data.
A B | CO Q
-------+--------
0 0 | 0 0
0 1 | 0 1
1 0 | 0 1
1 1 | 1 0
Notice the new column on the truth table for the carry out (CO).
We now notice that CO and Q and familiar, C0 is the same as an AND
gate and Q is the sa
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5.0 THE EXCLUSIVE GATES
=======================================
The final 2 gates remaining are the XOR (eXclusive OR) and
XNOR (eXclusive NOR) gates. Here they are.
5.1 THE XOR GATE
=======================================
The logic behind this gate is that if either A or B is equal
to 1 but not both then the output is equal to 1, here is its
truth table.
A B | Q
-------+------
0 0 | 0
0 1 | 1
1 0 | 1
1 1 | 0
The gate is constructed as follows.
(A & ~B) | (~A & B)
(0 & ~0) | (~0 & 0) = 0
(0 & ~1) | (~0 & 1) = 1
(1 & ~0) | (~1 & 0) = 1
(1 & ~1) | (~1 & 1) = 0
5.2 THE XNOR GATE
=======================================
The XNOR gate is simply the opposite of the XOR gate, its truth
table looks like the followin
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4.0 NEGATED GATES
=======================================
There are 2 Negated Gates, these are the NOR and NAND gates.
Basically these gates act like an OR and AND gate only there
output is the opposite.
4.1 THE NAND GATE
=======================================
The truth table of a NAND gate is as follows
A B | Q
-------+------
0 0 | 1
0 1 | 1
1 0 | 1
1 1 | 0
Notice that it is the opposite of an AND gate.
0 & 0 = 0, ~0 = 1
To wrap this up a bit better we use brackets ()
~(0 & 0) = 1
~(0 & 1) = 1
~(1 & 0) = 1
~(1 & 1) = 0
Now the result of the calcuation in the brackets is negated.
4.2 THE NOR GATE
=======================================
The truth table for the NOR gate is as follows
...
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3.0 THE LOGIC GATES
=======================================
Well binary is nice n easy n all but if thats all that a computer
understands then how does it go from that to a word processor or
an entire operating system. Well we build up these complicated
tasks using simple logic gates and boolean algebra, boolean
algebra was created by George Boole in Ireland in the 1800's,
wahey. The gates provide a way to make decisions and more
complex tasks are built upon them. These gates accept input of
Binary numbers and their output is based on the type of gate and
what input was involved. There are three simple gates.
3.1 THE NOT GATE
=======================================
The simplest of all the gates is the NOT gate, it just takes
a binary value of either 1 or 0 and gives back the oppossite.
The NOT gate is symbolised by the operator '~'. Consider the
...
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2.1 A LITTLE CONVERSION
=======================================
So how do we convert from decimal to binary numbers? Sure you could
write out a table like above and check it to get the binary value
you want but what if your looking for a value for a number like
1275, good look writing a table up to 10011111011 or we could just
use the good old repeated division of 2 method. This works by
repeatedly dividing the decimal number by 2 and if its an even number
record a 0, if its an odd record a 1. Say for example we wanted to
convert 57 to binary:
2/57 remainder = 1
= 28
2/28 remainder = 0
= 14
2/14 remainder = 0
= 7
2/7 remainder = 1
= 3
2/3 remainder = 1
= 1
2/1 remainder = 1
= 0
Now if we put those remainders alongside eachother starting from the
bottom up w
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A QUICK LOOK AT BINARY
=======================================
Basically binary is very simple, we as people are used to counting
in decimal, 1,2,3, etc..., this is known as base 10 as their are
10 numbers in decimal 0,1,2,3,4,5,6,7,8,9 and no 10 is not one of
them, to get ten we put 1 and 0 together when we move past 9,
we do this in order to count higher, obviously, and once we get
passed 9 we go back to 0 move over one space and put on a 1.
0
1
2
3
4
5
6
7
8
9 <- Reached the maximum of our numbers in decimal
10 <- So we move over one place and put on a 1 and start again
11
12
13
14
15
16
17
18
19 <- Again we reach the maximum so we move over one place and add a 1
20
21
..
..
90 <- And so on
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