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qiudanz technique is a movement practice based on the computational transformation of movement sequences. its purpose is to create and share dances based on abstract computational machines. it is part of a commitment to preserve computer science beyond electronics and industrial civilization.
it is a technique developed and practiced by the txiemonks.
we have been developing qiudanz mode 1:
video: intro to qiudanz technique mode 1
we used the qiudanz technique for our alive computing dance in algorave 10th anniversary.
these are notes in progress. see the qiudanz devlog for updates.
we will be working with linear sequences of movements from a given and constrained vocabulary.
the first movement of a sequence is the "head", and the last one is the "tail".
these sequences can be of an arbitrarily large length, depending on the skill and practice of the participants.
four potential modes so far, that correspond to the size of the vocabulary and of the number of transformations:
these transformations can be represented with the corresponding movements of the given mode.
these transformations are enough to perform tag systems, cyclic or not.
see also danzasistemas-tag.
these transformations should be enough to perform (more easily) the tape of a turing machine. máquinas de turing
more interesting possibilities!
the size of the vocabulary of movements depends on the current mode.
these movements in the vocabulary have an order: there's a first one and a last one.
to increment a movement implies converting it to the next one in the vocabulary. if the current movement was already the last one, then incrementing it converts it to the first one.
to decrement a movement implies converting it to the previous one in the vocabulary. if the current movement was already the first one, then decrementing it converts it to the last one.
to invert a movement one should divide the current vocabulary in its middle to get two parts of the same size. the inverted movement corresponds to the movement in the other half that is at the same distance of the middle than the current movement.
pending.
the movements might be based on the work on choreutics.
a way of complexifying any of these would be to learn to apply more than one transformation when/before performing the new sequence.
another possibility would be to have beforehand a list of transformation to apply, with some or all of them being conditional on the movement currently in the head.
having some way of assigning the transformations to apply given the current movement in the head, would allow to perform arbitrary tag systems and/or turing machines, and m>1 tag systems are turing complete, e.g.:
Universality of Tag Systems with P = 2 (1964) Cocke and Minsky
however, cyclic tag systems are also turing complete, and they only require the sequential application of rules:
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