48 lines
1.9 KiB
Markdown
48 lines
1.9 KiB
Markdown
(CAM) Fifth
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===========
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The following is a Cellular Automata Machine (CAM) library loosely based off the CAM Forth language as described
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in "Cellular Automata Machines" by Toffoli and Margolus. I wanted to be able to follow along in the book but,
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though mentioned as reasonably priced, a CAM Forth machine is out of my price range.
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The following uses numpy/matplotlib underneath, and will ideally incorporate the following:
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* N-Dimensional Cellular Automata
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* Arbitrary count of bit planes and description of neighborhoods
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* Timing specifications and control for granular viewing
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* ECHOing and TRACing in library for 2D CAMs
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Documentation will be made available at fuzzykayak.com/... but a quickstart will be provided below.
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There are also a variety of examples given to demonstrate different means of building CAMS.
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Quickstart
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----------
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To begin construction of a CAM, we need two objects: a CAM and a Ruleset.
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A CAM can be broken down into a list of cell planes, each of which contain the same number of states.
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Of these planes, the first is considered the master, and all others are mirrors of the master at an
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earlier stage in time (this allows for methods such as ECHOing).
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A ruleset can further be broken down into a list of configurations, of which one must pass
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for the state of a cell to change. During application of a ruleset, each cell is described by
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a neighborhood, which packages all other cells considered in the given plane.
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The following will construct Conway's Game of Life, as shown in the provided GIF:
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```
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import cam
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import ruleset as rs
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# View the different formats the CAMParser can parse. Manual construction for
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# more complicated rulesets are also a possibility
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c = cam.CAM(1, 100, 2)
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p = u.CAMParser('B3/S23', c)
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# 400 represents the time, in milliseconds, before the next tick occurs
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c.randomize()
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c.start_plot(400, p.ruleset)
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```
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