August'24: Kamaelia is in maintenance mode and will recieve periodic updates, about twice a year, primarily targeted around Python 3 and ecosystem compatibility. PRs are always welcome. Latest Release: 1.14.32 (2024/3/24)
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!)