[catnaroek]

> I was offering what I suspect the parent post meant by it being easier to reason using the mechanics of the language.

And it still doesn't make sense. “Reasoning about programs” is making inferences about their meaning, i.e., deriving judgments from prior judgments. How exactly do homoiconic languages make it any easier to make inferences about the meaning of programs, given that homoiconicity is largely a property of how concrete and abstract syntaxes are related to each other? (Not that homoiconicity makes things more difficult either. It is just completely unrelated to reasoning about programs.)

[zmonx]

For one particular example where homoiconicity makes reasoning about programs easier, consider an important reasoning method called abstract interpretation:

https://en.wikipedia.org/wiki/Abstract_interpretation

Using abstract interpretation, you can derive interesting program properties. The uniformity and simplicity of Prolog code, as well as its built-in language constructs like unification and backtracking, make it especially easy to write abstract interpreters for Prolog.

Here is a paper that applies this idea to derive several interesting facts about programs and their meaning:

Michael Codish and Harald Søndergaard, Meta-circular Abstract Interpretation in Prolog (2002) https://link.springer.com/chapter/10.1007%2F3-540-36377-7_6

Abstract interpretation is also applicable to other programming languages. However, it is much easier to apply to homoiconic languages like Prolog.

[kd0amg]

Abstract interpretation is entirely about the semantics of programs and has nothing to do with their surface syntax.

[zmonx]

Yes, indeed!

Please note that what makes this reasoning method so easily applicable in this case is uniformity of the abstract syntax, not of the surface syntax, which is also called concrete syntax.

Homoiconicity is a relation between the concrete and abstract syntax tree (AST) of programs and the language's built-in data structures.

[catnaroek]

No idea about you, but when I reason about programs, I spend very little time manipulating syntax. Most of the time is spent manipulating semantic objects, like predicates on the program state, whose representation is independent from even the abstract syntax of a programming language.

[taeric]

I learned a lot of math from other math. Even better if it was in the same symbology that I was already used to.

Specifically, learning algebraic manipulation is typically taught by showing the basic math that you are abstracting over. Multiplication is often taught in terms of addition.

Are there deeper understandings? Of course! I am again just saying that I see the appeal for this method and suspected that was the point that sparked confusion.