Propositions as Types, Philip Wadler. Draft, March 2014.
Philip Wadler has written a very enjoyable (Like busses: you wait two thousand years for a definition of “effectively calculable”, and then three come along at once) paper about propositions as types that is accessible to PLTlettantes.
An amusing historical analysis of the origin of zero based array indexing (hint: C wasn't the first). There's a twist to the story which I won't reveal, so as not to spoil the story for you. All in all, it's a nice anecdote, but it seems to me that many of the objections raised in the comments are valid.
Lisp, prizes, what's not to like?
I was surprised to see that DYNAMO hasn't been mentioned here in the past. DYNAMO (DYNAmic MOdels) was the simulation language used to code the simulations that led to the famous 1972 book The Limits to Growth from The Club of Rome. The language was designed in the late 1950s. It is clear that the language was used in several other places and evolved through several iterations, though I am not sure how extensively it was used. When Stafford Beer was creating Cybersyn for Salvador Allende he used DYNAMO to save time suggesting it was somewhat of a standard tool (this is described in Andrew Pickering's important book The Cybernetic Brain).
The language itself is essentially what you'd expect. It is declarative, programs consisting of a set of equations. The equations are zero and first-order difference equations of two kinds: level equations (accumulations) and rate equations (flows). Computation is integration over time. Levels can depend on rates and vice versa with the language automatically handling dependencies and circularities. Code looks like code looked those days: fixed columns, all caps, eight characters identifiers.
Here are a few links:
Oleg Kiselyov, Simon Peyton-Jones and Amr Sabry: Simple Generators:
This is fascinating work that shows how to gain the benefits of lazy evaluation - decoupling of producers, transformers, and consumers of data, and producing only as much data as needed - in a strict, effectful setting that works well with resources that need to be disposed of once computation is done, e.g. file handles.
The basic idea is that of Common Lisp signal handling: use a hierarchical, dynamically-scoped chain of handler procedures, which get called - on the stack, without unwinding it - to parameterize code. In this case, the producer code (which e.g. reads a file character by character) is the parameterized code: every time data (a character) is produced, it calls the dynamically innermost handler procedure with the data (it yields the data to the handler). This handler is the data consumer (it could e.g. print the received character to the console). Through dynamic scoping, each handler may also have a super-handler, to which it may yield data. In this way, data flows containing multiple transformers can be composed.
I especially like the OCaml version of the code, which is just a page of code, implementing a dynamically-scoped chain of handlers. After that we can already write map and fold in this framework (fold using a loop and a state cell, notably.) There's more sample code.
This also ties in with mainstream yield.
This is an interesting idea: CS papers whose body fits in 140 characters - the abstract may be longer, watering the concept down a bit.
Interactive Tutorial of the Sequent Calculus by Edward Z. Yang.
The tool behind this nice tutorial is Logitext.
Here's a fun challenge for LtU. The team at Securelist is analyzing a worm called Duqu and found a few interesting things. One of them is that they can't figure out the source language for the core framework.
I'm not clear on how much knowing the source language helps with the security analysis, but what else were you doing with your time? All the details and clues in the object file can be found on their blog.
Nick Benton and Neel Krishnaswami, ICFP'11, A Semantic Model for Graphical User Interfaces:
This is an application of their (more squiggly) LICS'11 submission, Ultrametric Semantics of Reactive Programs. In both these cases, I find appealing the fact the semantic model led to a type system and a language that was tricky to find.
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