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» System Model-Based Definition of Modeling Language Semantics
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POPL
2002
ACM
15 years 10 months ago
Stochastic lambda calculus and monads of probability distributions
Probability distributions are useful for expressing the meanings of probabilistic languages, which support formal modeling of and reasoning about uncertainty. Probability distribu...
Norman Ramsey, Avi Pfeffer
ICFP
2007
ACM
15 years 9 months ago
Type-safe higher-order channels in ML-like languages
As a means of transmitting not only data but also code encapsulated within functions, higher-order channels provide an advanced form of task parallelism in parallel computations. ...
Sungwoo Park
SIGSOFT
2002
ACM
15 years 10 months ago
Composable semantics for model-based notations
We propose a unifying framework for model-based specification notations. Our framework captures the execution semantics that are common among model-based notations, and leaves the...
Jianwei Niu, Joanne M. Atlee, Nancy A. Day
ENTCS
2010
133views more  ENTCS 2010»
14 years 9 months ago
Towards Measurable Types for Dynamical Process Modeling Languages
Process modeling languages such as "Dynamical Grammars" are highly expressive in the processes they model using stochastic and deterministic dynamical systems, and can b...
Eric Mjolsness
DBPL
1991
Springer
76views Database» more  DBPL 1991»
15 years 1 months ago
A Functional DBPL Revealing High Level Optimizations
We present a functional DBPL in the style of FP that facilitates the definition of precise semantics and opens up opportunities for far-reaching optimizations. The language is int...
Martin Erwig, Udo W. Lipeck