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Digital computation, analog computation, etc. turn out to be species of generic computation.
The mechanistic account has been used to explicate digital computation, analog computation, computation by neural networks, and other important distinctions such as hardwired vs. programmable and serial vs. parallel computation (Piccinini 2015).
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If the system processes continuous vehicles, then the computation is analog.
Micro-machines, photon-based computation, sophisticated analog interfaces to the natural world and others.
No exact values of arbitrary real-valued quantities are exploited by an analog computation, so analog computation does not falsify Bold Physical CTT (cf. Rubel 1989).) Similar doubts about the alleged analogy between Mathematical CTT and Bold Physical CTT may be generated by a related observation.
If a computing system processes continuous variables, then it performs an analog computation.
Here, we review the current state of computational genetic circuits and describe artificial gene circuits that perform digital and analog computation.
One advantage of analog computation is that it may be relatively simple to design and build an analog computer to solve a single problem.
Analog computation does not manipulate exact values of arbitrary real-valued quantities but rather continuous variables.
(The point just made does not impugn analog computation in the standard sense of Pour-El (1974).
A major drawback of analog computation is the higher cost, relative to digital machines, of an increase in precision.
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