نتایج جستجو برای: gramming

تعداد نتایج: 158  

1996
M. Schroeder R. Marques G. Wagner J. C. Cunha

ion it ranges between PVM-Prolog which is a pure paradigm extendedby message passing and a high-level multi-agent language such as vivid agents.7.3 ICEICE [Amt95, AB96] de nes a model to support distributed AI applications overhybrid languages and heterogeneous, distributed platforms. It is available fromProlog, Lisp, C, C++ and Tcl/Tk and is, similar to PVM-Prolog, implemen...

1993
Hans Juergen Boehm

We call a garbage collector conservative if it has only partial information about the location of pointers and is thus forced to treat arbitrary bit patterns as though they might be pointers in at least some cases We show that some very inexpensive but previously unused tech niques can have dramatic impact on the e ectiveness of conservative garbage collectors in reclaiming mem ory Our most sig...

Journal: :J. Log. Program. 1998
Lunjin Lu

interpretation frameworks. It is also fully automated in that its only inputs are theprogram to be analysed and type de nitions for the function symbols in the program.References[1] H. Azzoune. Type inference in Prolog. In E. Lusk and R. Overbeek, editors, Proceedingsof the ninth International Conference on Automated Deduction, pages 258{277, Argonne,Illinois, USA, May 23-26...

1996
Peter Holst Andersen Carsten Kehler Holst

Transition Semantics. The abstraction transition semantics, which collects abstract 1-step transitions and compositions of these, is given below. AbsTrans = Fnames Fnames 7! P(SizeDep ) CS : AnnExp! Fenv! AbsTrans CSfi [[Clo(fj ; he1; : : : ; eni)]] = Fk CSfi [[ek]] CSfi [[Clo(fj ; he1; : : : ; eni)]] = Fk CSfi [[ek]] t [hfi; fji 7! hS [[e1]] ; : : : ;S[[en]] ;?; : : :;?i] CSfi [[e (e1; : : : ;...

1996
D J Wischik

In optical networks the vast bandwidth available in an optical bre may be utilized by splitting it into several channels each of a di erent wavelength This allows signals to be routed entirely in the optical domain This es say studies such routings and examines the number of di erent wavelengths needed for irregular networks We nd the number of wavelengths needed in large random networks in ter...

2002
Peter Marbach John N Tsitsiklis

We formulate the call admission control problem for a single link in an integrated service environment as a Markov Decision Problem In prin ciple an optimal admission control policy can be computed using methods of Dynamic Programming However as the number of possible states of the un derlying Markov Chain grows exponentially in the number of customer classes Dynamic Programming algorithms for ...

1975
Joachim H. Laubsch

T h i s paper examines the p o s s i b i l i t i e s o f a p p l y i n g A I -Me thodo logy deve loped f o r n a t u r a l language q u e s t i o n a n s w e r i n g systems t o c o m p u t e r a i d e d i n s t r u c t i o n a l sys tems. P a r t i c u l a r l y , i t f ocusses on how semant ic n e t s can be ex tended to hand le p r o c e d u r a l know ledge , and how an i n s t r u c t i o ...

2013
Oded Maler

This report which is part of the deliverable IP of the Esprit project VHS Veri cation of Hybrid Systems analyzes some software engineering aspects of industrial computers such as PLCs programmable logic controllers and DCS distributed control systems The report starts with a comparison between the development of software engineering for general purpose computers and the programming of control c...

2006
JOHN TOOBY

The cognitive neuroscience of central pmccssca is currently a mystery. The brain u a vast and complex collection offitnctionally integrated circuits. Recognizing that natural selection engineen a fit between saucnur and kc t ion is the key to isolating thew circuits. Neural circuits were designed to solve adaptive problemr If one caa define an adaptive problem doody enough, one can see which ci...

1993
Michael Hanus

information about the variables of one clause but during the concrete computation the accumulated constraints may contain nonlinear parts from arbitrary clauses. Since we are interested in the analysis of all nonlinear constraints, we will show in Theorem 3 that the nonlinear constraints with variables outside dom(A) are also covered by the abstraction A. Since our abstract interpretation algor...

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