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diff --git a/final_project/work/description b/final_project/work/description
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+
+A generic operator system connects the application of a generic procedure on
+multiple arguments to the "appropriate" procedure for those specific arguments
+based on type predicates.
+
+Our problem is to take an individual object (/not/ in the object-oriented
+sense of the word, but in the s-expression sense of the word) and determine
+the set of procedures which /could/ be applied to it based on type predicates
+and present these options interactively to the user in a useful manner.
+
+[Various optimizations to this process will be discussed]
+
+We will consider and demonstrate this system in the domains of a) the R5RS
+Scheme builtin types and procedures and b) the scmutils types and special
+procedures for mathematics and physics. Our "range" for these domains will
+be an interactive REPL environment (or just text interaction?) and a GTK 
+graphical user interface.
+
+Other domains this system could be applied to include:
+    random correctness or unit testing of complex systems
+    automatically generated generic user interfaces
+
+Related problems (which could be covered by this work?):
+    chaining procedures (eg if f maps A->B and g maps B->C, then gof maps
+        A->C which might be what we want
+    some kind 
diff --git a/final_project/work/examples.scm b/final_project/work/examples.scm
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+
+; these could be considered as unit tests or demonstrations
+
+(describe 5.67)
+; This is a rational number
+
+(describe (up 3 4 5))
+; This is an "up" tuple of three integers
+
+(describe #(3.5 8 3))
+; This is a vector of three rational numbers
+
+(describe (*number* (sin (+ 4 'b))))
+; This is an expression with one variable which returns a number
+
+
+(describe-options (lambda (x y) (+ (* x 3) (square y))))
+; This is a procedure which accepts two arguments. You could:
+;   1) Evaluate for two inputs
+
+(describe-options (literal-function 'g (-> (X Real Real) Real)))
+; This is a math function which maps two reals to one real. You could:
+;   1) Evaluate numerically for two real inputs
+;   2) Differentiate symbolically for either variable
+;   3) Find the gradient function symbolically
+;   4) Plot in three dimensions over a given domain
+;   5) Plot in two dimensions for a fixed value of the first or second var
+;   6) Numerically calculate the maximum or minimum
+