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Once we accept that mental computation is sensitive to syntax but not semantics, it is far from clear that any useful explanatory work remains for wide content.
Mental computation is formal (because insensitive to externally determined semantic properties) and narrow-content-involving (because Mentalese syntactic types have their narrow contents essentially).
Mental mathematics, sometimes referred to as mental computation, is the act of performing calculations without the use of external tools through a sequence of transformations beyond counting or imagining the steps of the standard algorithm [24, 37, 46].
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Robust cognitive models of mental computation are less prevalent than models of relational thinking, but several theoretical frameworks involve two major processes: (a) the selection of a strategy that would make the computation more manageable, and (b) the execution of the calculations once the strategy is chosen [24, 40, 47].
They hold that mental computations are implemented not by soul-stuff but rather by the brain.
A Turing-style model proceeds at a very abstract level, not saying whether mental computations are implemented by physical stuff or Cartesian soul-stuff (Block 1983: 522).
The goal of a mental computation problem is to arrive at an answer, and consequently, mental calculations are required.
We argue, therefore, that choosing a mental computation strategy is an act of relational thinking because it relies on creating implicit transformations that rely squarely on both "sameness" and substitution principles of mathematical equivalence [18].
"The quantum theory of computation is quantum theory," he said.
Today, computation is ubiquitous in biology.
Computation is increasingly pervasive.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com