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ALPACA

This is the reference distribution for the ALPACA cellular-automaton definition language.

ALPACA is an acronym for a language for the pithy articulation of cellular automata. It is capable of succinctly expressing the rules of a 1- or 2-dimensional cellular automaton with an arbitrary neighbourhood.

As an example, here is John Conway's Game of Life automaton, expressed in ALPACA (it's short):

state Dead  " "
  to Alive when 3 Alive and 5 Dead;
state Alive "*"
  to Dead when 4 Alive or 7 Dead.

See the file ALPACA.markdown in the doc directory for a complete specification of the ALPACA language. This document is written in Falderal literate test suite format; the examples given in the spec are test cases, which can be run against an implementation. The test.sh script does this.

This distribution also contains the reference implementation of ALPACA, written in Python. Its source is in the src directory and bin/alpaca is a script to start it from the command line (no installation is required.) See below for more information on the reference implementation.

This distribution also contains a compiler for an older version (v0.9x) of ALPACA, which is written in Perl and which compiles ALPACA descriptions to Perl. It can be found in the impl/alpaca.pl directory. It is no longer maintained.

History

While RUBE was being developed it became clear to the author that the "bully" approach to writing a complex cellular automaton would result in a program extremely difficult to understand and even worse to maintain.

ALPACA was developed in order to have a terse, precise and readable language in which to express the rules for any given cellular automaton. It is in ALPACA, then, that REDGREEN, a successor to RUBE, is written. Being described in ALPACA instead of C, the source code for REDGREEN is easily a hundred times clearer than the knotted mess that is RUBE.

Other cellular automata that have been successfully described in ALPACA include John Conway's famous Game of Life automaton and the lesser-known WireWorld automaton.

The first version of the ALPACA compiler, v0.80 was written as an attributed grammar in CoCo/R from which a C source file was generated.

This was rewritten in version 0.90 to a hand-coded compiler in Perl 5 that produces a Perl program that accepts an automaton form (a start state) as input, in the form of an ASCII text file, and animates it based on the rules of the defined cellular automaton.

Versions 0.93 and 0.94 succeeded version 0.90, but include any significant changes to the language, only to the reference implementation. (Possibly versions 0.91 and 0.92 existed at some point as well, but they are lost.)

Originally, the name ALPACA was an acronym for a language for programming arbitrary cellular automata. However, as it was recognized by the author that the cellular automata expressible in ALPACA were far from arbitrary (limited to two dimensions and the Moore neighbourhood), a new backronym was sought.

We are currently working on a more formal specification for ALPACA version 1.0. It is almost complete, and adds several new features to the language, such as user-defined neighbourhoods, representations outside the realm of ASCII characters, and allowing a pre-defined CA configuration to be included with the CA description. (This last enhancement makes ALPACA CA-complete: almost the same as Turing-complete, but there is no way to define, in ALPACA, what it means for a cellular automaton to halt.) For this language update, a new reference implementation is being written in Python.

Reference Implementation

The reference implementation, bin/alpaca, can evolve a cellular automaton, given its rules as described in ALPACA along with an initial configuration (which may be supplied by the ALPACA description.)

In the future this implementation may also be able to animate a cellular automaton (probably in a terminal, using curses) and may be able to compile an ALPACA description into the rules for evolving the cellular automaton as code in a high-level programming language such as Python or Javascript.

Tested

The new implementation of ALPACA in Python has been tested with:

...and so far seems to handle all of them correctly.

TODO

  • compile to Javascript
  • compile to legacy Perl
  • option to use pycurses
  • nontrivial fixpoint detection: if playfield matches any of the last n playfields, then halt
  • option to halt under other, even more complex circumstances
  • option to display generation #, coordinates, etc in divider string
  • implement >Moore neighbourhoods