Extensional and Intensional Semantics of Bounded and Unbounded Nondeterminism
We give extensional and intensional characterizations of functional programs with nondeterminism: as structure preserving functions between biorders, and as nondeterministic sequential algorithms on ordered concrete data structures which compute them. A fundamental result establishes that these exte...
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| Veröffentlicht in: | Logical methods in computer science Jg. 17, Issue 4 |
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| 1. Verfasser: | |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Logical Methods in Computer Science e.V
24.11.2021
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| Schlagworte: | |
| ISSN: | 1860-5974, 1860-5974 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | We give extensional and intensional characterizations of functional programs
with nondeterminism: as structure preserving functions between biorders, and as
nondeterministic sequential algorithms on ordered concrete data structures
which compute them. A fundamental result establishes that these extensional and
intensional representations are equivalent, by showing how to construct the
unique sequential algorithm which computes a given monotone and stable
function, and describing the conditions on sequential algorithms which
correspond to continuity with respect to each order. We illustrate by defining
may-testing and must-testing denotational semantics for sequential functional
languages with bounded and unbounded choice operators. We prove that these are
computationally adequate, despite the non-continuity of the must-testing
semantics of unbounded nondeterminism. In the bounded case, we prove that our
continuous models are fully abstract with respect to may-testing and
must-testing by identifying a simple universal type, which may also form the
basis for models of the untyped {\lambda}-calculus. In the unbounded case we
observe that our model contains computable functions which are not denoted by
terms, by identifying a further "weak continuity" property of the definable
elements, and use this to establish that it is not fully abstract. |
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| ISSN: | 1860-5974 1860-5974 |
| DOI: | 10.46298/lmcs-17(4:11)2021 |