Module Importing, Rules, Variables

We here learn how to include a predefined module (SUBSTITUTION), how to use it to define a K rule (the characteristic rule of lambda calculus), and how to make proper use of variables in rules.

Let us continue our lambda.k definition started in the previous lesson.

The requires keyword takes a .k file containing language features that are needed for the current definition, which can be found in the k-distribution/include/kframework/builtin folder. Thus, the command

requires "substitution.k"

says that the subsequent definition of LAMBDA needs the generic substitution, which is predefined in file substitution.k under the folder k-distribution/include/kframework/builtin. Note that substitution can be defined itself in K, although it uses advanced features that we have not discussed yet in this tutorial, so it may not be easy to understand now.

Using the imports keyword, we can now modify LAMBDA to import the module SUBSTITUTION, which is defined in the required substitution.k file.

Now we have all the substitution machinery available for our definition. However, since our substitution is generic, it cannot know which language constructs bind variables, and what counts as a variable; however, this information is critical in order to correctly solve the variable capture problem. Thus, you have to tell the substitution that your lambda construct is meant to be a binder, and that your Id terms should be treated as variables for substitution. The former is done using the attribute binder. By default, binder binds all the variables occurring anywhere in the first argument of the corresponding syntactic construct within its other arguments; you can configure which arguments are bound where, but that will be discussed in subsequent lectures. To tell K which terms are meant to act as variables for binding and substitution, we have to explicitly subsort the desired syntactic categories to the builtin KVariable sort.

Now we are ready to define our first K rule. Rules are introduced with the keyword rule and make use of the rewrite symbol, =>. In our case, the rule defines the so-called lambda calculus beta-reduction, which makes use of substitution in its right-hand side, as shown in lambda.k.

By convention, variables that appear in rules start with a capital letter (the current implementation of the K tool may even enforce that).

Variables may be explicitly tagged with their syntactic category (also called sort). If tagged, the matching term will be checked at run-time for membership to the claimed sort. If not tagged, then no check will be made. The former is safer, but involves the generation of a side condition to the rule, so the resulting definition may execute slightly slower overall.

In our rule in lambda.k we tagged all variables with their sorts, so we chose the safest path. Only the V variable really needs to be tagged there, because we can prove (using other means, not the K tool, as the K tool is not yet concerned with proving) that the first two variables will always have the claimed sorts whenever we execute any expression that parses within our original grammar.

Let us compile the definition and then run some programs. For example,

krun closed-variable-capture.lambda

yields the output

<k>
  lambda y . ((lambda x . (lambda y . (x  y))) y)
</k> 

Notice that only certain programs reduce (some even yield non-termination, such as omega.lambda), while others do not. For example, free-variable-capture.lambda does not reduce its second argument expression to y, as we would expect. This is because the K rewrite rules between syntactic terms do not apply anywhere they match. They only apply where they have been given permission to apply by means of appropriate evaluation strategies of language constructs, which is done using strictness attributes, evaluation contexts, heating/cooling rules, etc., as discussed in the next lessons.

The next lesson will show how to add LAMBDA the desired evaluation strategies using strictness attributes.

Go to Lesson 3, LAMBDA: Evaluation Strategies using Strictness

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