LogC


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LogC

A C extension incorporating rule-oriented programming, for AI application programs. Production rules are encapsulated into functional components called rulesets. LogC uses a search network algorithm similar to RETE.

Version 1.6.

["LogC: A Language and Environment for Embedded Rule Based Systems", F. Yulin et al, SIGPLAN Notices 27(11):27-32 (Nov 1992)].
This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)
References in periodicals archive ?
The slope (z), constant (c), regression coefficient, significance valeu, and AIC of the regression model (log S = logc + zlogA) are indicated.
logb = 0.5log ([B.sub.11]/[B.sub.12] x [B.sub.21]/[B.sub.22]) = alog ([R.sub.11]/[R.sub.22]) + logc (5)
First, identify a 'better' region (the range of logC is larger than that of [11]), and compute a ([C.sub.1], [[gamma].sub.1]) pair.
Much like ASF of old, ADMINCEN became a magnet for every developmental mission and program that did not fit clearly into either combat and combat support (CAC's focus) or logistics (LOGC's focus) mission areas.
where (logC - logC*) is the residual from the long-run equation.
In all 3 textural classes, values of logc were observed to be negative and ranged from -7.4016 to -5.8518, -5.8866 to -3.7137, and -4.7068 to 2.0221 in clay, clay loam, and loam soils, respectively.
A is the response at zero hormone concentration, D is the response at infinite hormone concentration, and logB and logC are fitting parameters.
By plotting values of log(C/[theta]) versus values of logC straight line graphs were obtained (Fig.
At 72 weeks, GS010-treated eyes and sham-treated eyes gained on average +0.21 LogCS and +0.15 LogCS versus baseline, respectively.
The researchers found that small-letter contrast sensitivity was significantly higher after consumption of dark versus milk chocolate (mean improvement, 0.15 logCS; 95 percent confidence interval, 0.08 to 0.22 logCS; P < 0.001).
They reported a statistically significant improvement in contrast sensitivity from a mean of 1.53 [+ or -] 0.12 logCS to 1.69 [+ or -] 0.1 logCS (P <0.001) over 24 months of follow-up.
For patients with worse acuity, performance will depend on CS; those with CS better than 1.05 LogCS (noticeable loss or normal threshold, that is the threshold somewhere on the lower four lines of a Pelli-Robson chart) are likely to do well, and only those with poor baseline near acuity and a CS on the top four lines of a Pelli-Robson chart (severe or significant loss) unlikely to read 1M print with magnification.