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minute: Sign up ERROR: is/2: Arguments are not sufficiently instantiated in prolog up vote 1 down vote favorite I'm new user in Prolog, I am trying to scale and transform coordinates in maps but got error "not sufficiently instantiated " on scale and transform RULE. here is my rules, it seems that the Arguments are not sufficiently instantiated , could you please mysql error 2 give me solution how we can fix this issue. it seam the problem is in scale and transform rule where I use "IS" operator transform_all :- forall( representation(Id, Geom), ( transform(Geom, TGeom), record_transformed_rep(Id, TGeom) ) ). transform_all :- forall( ( representation(Id, Geom), not(transformed_rep(Id)) ), ( transform(Geom, TGeom), record_transformed_rep(Id, TGeom) ) ). %transformation transform(Geom, TGeom) :- scale(Geom, value(10000), SGeom), translate(SGeom, value(-7.5, -51.9), TGeom). %record_the_transformed_geometries record_transformed_rep(Id, TGeom) :- retractall(representation(Id, _)), assert(representation(Id, TGeom)), assert(transformed_rep(Id)). %% flag to avoid infinite loop %scale_and_translate_metric_Map scale(point(X,Y), value(V), point(Sx,Sy)) :- Sx is X * V, Sy is Y * V. scale(polyline([]), value(_), polyline([])). scale(polyline([P|R]), value(V), polyline([Sp|Sr])) :- scale(P,value(V),Sp), scale(polyline(R), value(V), polyline(Sr)). %translate_coordinate_of_metric_map translate(point(X,Y), value(Dx,Dy), point(Sx,Sy)) :- Sx is X + Dx, Sy is Y + Dy. translate(polyline([]), value(_,_), polyline([])). translate(polyline([P|R]), value(Dx,Dy), polyline([Sp|Sr])) :- translate(P,value(Dx,Dy),Sp), translate(polyline(R), value(Dx,Dy), polyline(Sr)). prolog instantiation-error share|improve this question edited Feb 7 at 0:00 Will Ness 30.6k45187 asked Jul 31 '15 at 13:33 user68537 62 2 This question has been asked many times, and the answer is always: you are trying to add free variables instead of numbers. Check your code carefully and make sure you g
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> Upload Documents Write Course Advice Refer your Friends Earn MoneyLearn More > Upload Documents Apply for Scholarship Create Q&A pairs Become a Tutor Are you an educator? Log in http://stackoverflow.com/questions/31747498/error-is-2-arguments-are-not-sufficiently-instantiated-in-prolog Sign up Home Princess Nora bint AbdulRahman University INFORMATIO INFORMATIO 367 LPNchapter5 Error: is/2: arguments are not sufficiently SCHOOL Princess Nora bint AbdulRahman University COURSE TITLE INFORMATIO 367 TYPE Notes UPLOADED BY SanabelM PAGES 57 Click to edit the document details This preview shows pages 15–28. Sign up to view the full content. View Full Document This preview has intentionally blurred https://www.coursehero.com/file/p4g7f9i/ERROR-is2-Arguments-are-not-sufficiently-instantiated-Patrick-Blackburn-Johan/ sections. Sign up to view the full version. View Full Document This preview has intentionally blurred sections. Sign up to view the full version. View Full Document This preview has intentionally blurred sections. Sign up to view the full version. View Full Document This preview has intentionally blurred sections. Sign up to view the full version. View Full Document This preview has intentionally blurred sections. Sign up to view the full version. View Full Document This preview has intentionally blurred sections. Sign up to view the full version. View Full Document This preview has intentionally blurred sections. Sign up to view the full version. View Full Document This is the end of the preview. Sign up to access the rest of the document. Unformatted text preview: ERROR: is/2: Arguments are not sufficiently instantiated ?- Patrick Blackburn, Johan Bos & Kristina Striegnitz The is/2 predicate ?- X is 3 + 2. X = 5 yes ?- 3 + 2 is X. ERROR: is/2: Arguments are not sufficiently instantiated ?- Result is 2+2+2+2+2. Patrick Blackburn, Johan Bos & Kristina Striegnitz The is
you have probably seen some. There are (at least) two distinguishable kinds of errors: syntax errors and exceptions. 8.1. Syntax Errors¶ Syntax errors, also known as parsing errors, are perhaps the https://docs.python.org/2/tutorial/errors.html most common kind of complaint you get while you are still learning Python: https://en.wikipedia.org/wiki/Standard_error >>> while True print 'Hello world' File "
proportion of samples that would fall between 0, 1, 2, and 3 standard deviations above and below the actual value. The standard error (SE) is the standard deviation of the sampling distribution of a statistic,[1] most commonly of the mean. The term may also be used to refer to an estimate of that standard deviation, derived from a particular sample used to compute the estimate. For example, the sample mean is the usual estimator of a population mean. However, different samples drawn from that same population would in general have different values of the sample mean, so there is a distribution of sampled means (with its own mean and variance). The standard error of the mean (SEM) (i.e., of using the sample mean as a method of estimating the population mean) is the standard deviation of those sample means over all possible samples (of a given size) drawn from the population. Secondly, the standard error of the mean can refer to an estimate of that standard deviation, computed from the sample of data being analyzed at the time. In regression analysis, the term "standard error" is also used in the phrase standard error of the regression to mean the ordinary least squares estimate of the standard deviation of the underlying errors.[2][3] Contents 1 Introduction to the standard error 1.1 Standard error of the mean 1.1.1 Sampling from a distribution with a large standard deviation 1.1.2 Sampling from a distribution with a small standard deviation 1.1.3 Larger sample sizes give smaller standard errors 1.1.4 Using a sample to estimate the standard error 2 Standard error of the mean 3 Student approximation when σ value is unknown 4 Assumptions and usage 4.1 Standard error of mean versus standard deviation 5 Correction for finite population 6 Correction for correlation in the sample 7 Relative standard error 8 See also 9 References Introduction to the standard error[edit] The standard error is a quantitative measure of uncertainty. Consider the following scenarios. Scenario 1. For an upcoming national election, 2000 voters are chosen at random and asked if they will vote for candidate A or candidate B. Of the 2000 voters, 1040 (52%) state that they will vote for candidate A. The researchers report that candidate A is expected to receive 52% of the final vote, with a margin of error of 2%. In th