Index: doc/theses/aaron_moss_PhD/phd/background.tex
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@@ -213,5 +213,5 @@
 The ability of types to begin or cease to satisfy traits when declarations go into or out of scope makes caching of trait satisfaction judgements difficult, and the ability of traits to take multiple type parameters can lead to a combinatorial explosion of work in any attempt to pre-compute trait satisfaction relationships. 
 
-\subsection{Implicit Conversions}
+\subsection{Implicit Conversions} \label{implicit-conv-sec}
 
 In addition to the multiple interpretations of an expression produced by name overloading and polymorphic functions, for backward compatibility \CFA{} must support all of the implicit conversions present in C, producing further candidate interpretations for expressions. 
Index: doc/theses/aaron_moss_PhD/phd/resolution-heuristics.tex
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--- doc/theses/aaron_moss_PhD/phd/resolution-heuristics.tex	(revision 3e06da23aa04855785665d093acbbc9b6297e66a)
+++ doc/theses/aaron_moss_PhD/phd/resolution-heuristics.tex	(revision af00c4589447fcba274fd7a68bac3d284e211d76)
@@ -2,5 +2,14 @@
 \label{resolution-chap}
 
-Talk about the resolution heuristics. This is the bulk of the thesis.
+The main task of the \CFACC{} type-checker is \emph{expression resolution}, determining which declarations the identifiers in each expression correspond to. 
+Resolution is a straightforward task in C, as each declaration has a unique identifier, but in \CFA{} the name overloading features discussed in Section~\ref{overloading-sec} generate multiple candidate declarations for each identifier.
+I refer to a given matching between identifiers and declarations in an expression as an \emph{interpretation}; an interpretation also includes information about polymorphic type bindings and implicit casts to support the \CFA{} features discussed in Sections~\ref{poly-func-sec} and~\ref{implicit-conv-sec}, each of which increase the proportion of feasible candidate interpretations. 
+To choose between feasible interpretations, \CFA{} defines a \emph{conversion cost} to rank interpretations; the expression resolution problem is thus to find the unique minimal-cost interpretation for an expression, reporting an error if no such interpretation exists.
+
+\section{Conversion Cost}
+
+
 
 % Discuss changes to cost model, as promised in Ch. 2
+
+% Mention relevance of work to C++20 concepts
