# simon-frankau/mock-a-mockingbird

My answers to Raymond Smullyan's "To Mock a Mockingbird" combinator puzzles, including a solver in Haskell
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# To Mock a Mockingbird

These are my notes on the solutions to the questions in Raymond Smullyan's To Mock a Mockingbird, which is a fantastic set of exercises around combinatory logic, disguised as puzzles about birds.

Ignore the first section of the book, it's bog-standard and not terribly exciting logic puzzles. The combinatory logic puzzles are awesome, though.

I first came across combinatory logic as part of my undergrad course, effectively as an addendum on lambda calculus. I found it fascinating (although I also found lambda calculus fascinating!). Fast-forward a few years, and this book was recommended to me by a colleague (along with a huge tome on the history of the oil industry, and Lolita - and it turns out that the oil book was the easiest to read!).

To Mock a Mockingbird is awesome, but I never bashed all the way through it. This is my upteenth go at it. The exercises all have answers provided in the book, but I felt it was worth recording my own thoughts and approach.

## Chapters

I'm only covering the combinator parts of the book:

## The Code

The code I've used to solve the questions is horrible. I'm getting used to writing mediocre code and just publishing it rather than either spending time agonising over it or just not publishing it. It's ok to just write it and leave it, sometimes. Just tidy it up before making it the core of a production system! :)

## Closing thoughts

Having finally worked through the book, I feel I was fighting it too much. There are some really horrible puzzles very early on - finding a fixed-point combinator right at the start, for example. A bunch of the other "find a combinator" puzzles are either very simple, or occasionally very hard (find a convoluted combinator), and building code to search allowed me to skip the tedium, keep momentum and focus on understanding.

My previous attempts at the book got sidetracked by interesting questions about bases and other results the exercises didn't ask for, although I was distracted anyway. This time, I ploughed through and discovered that a) it was actually a lot easier than I expected once I got going, and b) some of those questions got answered by the book later, so I didn't need to work them out for myself!

It was a shame the book didn't talk more about the I-calculus, as it's something I know little about. Indeed, generally it's a shame that it doesn't just talk directly about combinators a bit more, and the historical approach to the subject. The history's probably quite messy and confusing, though. The tidied-up subject once it's properly understood is generally a lot more approachable, even though in this case it's been made untidy again!

Then, the book ends with some Goedel. These books always do, and I've kind of got used to it since reading Goedel Escher Bach somewhat over 20 years ago. In some ways, this is something of a let down to me. Once again, we've abstractly shown what we can't do. Why can't we show what we can? Write more combinator programs! A nice SK-term-evaluator written in SK combinators would be fun. Or throw in the connection to lambda calculus.

I'm wrong, though. It should end with Goedel for a reason. That's the structure of these books, and it's very good at what it does. It's still enjoyable and worthwhile, and I wish I'd just managed to get it polished off ages ago!