We investigate different variants of unambiguity in the context of computingmulti-valued functions. We propose a modification to the standard computation models of Turing machines and configuration graphs, which allows for unambiguity-preserving composition. We define a notion of reductions (based on function composition), which allows nondeterminism but controls its level of ambiguity. In light of this framework we establish reductions between different variants of path counting problems. We obtain improvements of results related to inductive counting.
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Recognizable two-dimensional languages (REC) are defined by tiling systems that generalize to two dimensions non-deterministic finite automata for strings. We introduce the notion of deterministic tiling system and the corresponding family of languages (DREC) and study its structural and closure properties. Furthermore we show that, in contrast with the one-dimensional case, there exist other classes between deterministic and non-deterministic families that we separate by means of examples and decidability properties.
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We introduce generalized trajectories where the individual symbols are interpreted as operations performed on the operand words. The various previously considered trajectory-based operations can all be expressed in this formalism. It is shown that the generalized operations can simulate Turing machine computations. We consider the equivalence problem and a notion of unambiguity that is sufficient to make equivalence decidable for regular sets of trajectories under nonincreasing interpretations.
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