In the Missing Tools discussion some time ago, one of the things people mentioned wanting more of in IF was procedural text generation, which here is meant specifically as the ability to have the computer describe complex world model states or story events without having to hand-author every possible variation.
This is an area where there’s a lot to learn from work going on in academic research, but as far as I’m aware there’s relatively little communication. As I mentioned in my ICIDS writeup, James Ryan at UCSC and Dr. Boyang Li at Georgia Tech’s Entertainment Intelligence Lab are doing work on a) how to better represent a richly complicated world model and b) how to procedurally alter narrative features such as the tone of narration. One of the things we particularly don’t seem to do in hobbyist IF, perhaps for lack of resources, is experiment with large word databases such as WordNet or crowd-sourced work in particular areas like that used on Scheherazade.
Speaking for myself, I’ve also tended to stumble towards solutions in this space based on trial and error and the needs of my own projects, rather than having a strong grounding in the relevant academic work. Most of what we’ve needed — and most of what we’ve done — is pretty much work in the shallowest end of this pool.
And, of course, text generation for parser IF comes with special additional challenges, in that the player usually expects to be able to refer to any generated noun or noun phrase element; therefore if we generate a description of a thing as “blue”, the system also needs to remember how we described that object and accept the input “blue” to refer to it.
Here are the things I’m currently aware of. Unfortunately, I’m inevitably more aware of the internals of my own libraries and games than I am of other people’s work, so if I left out something cool that you did, please by all means say something in the comments: I am eager to know about it. In particular, there may be a lot I don’t know about under the hood in Kerkerkruip.