April 2024 - This site, and Kamaelia are being updated. There is significant work needed, and PRs are welcome.
Specutaltive new are always interesting, and would probably start out
as sketches for things which could be useful. Componentising certain
sorts of things can be a very useful endevour since they can then be
reused with all the other components. Kamaelia's architecture was itself
once a speculative new idea - it's panned out really quite well, so
where would like to see things go next ?
It's probably worth pulling out ideas from the GSOC pages into
here.
Starter for 10: How could these be intergrated?
Inference engine integration & componentisation : http://pyclips.sourceforge.net/web/ - PyCLIPS is an extension module for the Python language that embeds full CLIPS functionality in Python applications. This means that you can provide Python with a strong, reliable, widely used and well documented inference engine.
Neural network systems integration : http://leenissen.dk/fann/ - Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. (python bindings)
Common sense engine/systems : eg ConceptNet - ConceptNet is a freely available commonsense knowledgebase and natural-language-processing toolkit which supports many practical textual-reasoning tasks over real-world documents right out-of-the-box (without additional statistical training) including topic-jisting, affect-sensing, analogy-making, text summarization, contextual expansion, causal projection, cold document classification. (part of MIT's common sense project)
Axon 2.0 :
etc :)
(add more!)