Well as this is my first post I might as well introduce myself in a pertinent section. Just to say that for the most part I have ideas and until full implementation and success derived of said implementation I’m going to leave my hopes/dreams for this to the sidelines as best I can. I haven’t named this project yet but I have been working on it for a few weeks now in my spare time. All of the ideas mentioned are organically derived from me, however after analysis they strongly resemble the behavior of pre-fashioned forms in psychology and and the field of AI. So far the AI has been coded in C++, my strongest language. I’lll admit its nowhere near done.
Now to actually what I am working on: The AI as best as my analysis can conclude is a sort of expert-system, neural-net mash-up (need more hyphens). Firstly I think I have bypassed the need for mass computing power to emulate neural nets by using what I describe as a net of expert-systems, such that only a few are active at any significant point. Secondly, the AI uses some very simplistic genetic behavior (I figure it was unnecessary to make it complex and it keeps the processing time down) to guide the improvement of models. Thirdly when the proof of concept is done, its processes should be able to be ported with an upgrade to be able to handle interfacing with many electronic mediums. I’ve been working on implementing emotional behavior such that (without my intention) would seem to behave almost in a “Maslow’s pyramid” fashion. Also included in the design are my attempts at generating algorithms for dreams as they play an important role in improving mental models and input-output chaining in combination with short/long term memory to help the formation of complex ideas/outputs. Situational, and chronological context are huge elements of the AI and are used throughout its functioning. The way it works is best represented as a sort of rube-golberg machine, with large isolated ‘contraptions’ connected through a few channels, one for emotion, one that evaluates needs, one for rule selection, etc. It is within the ‘contraptions’ themselves that the genetic programming changes the behaviors. I’m also trying to build-in an HTML parser so it can extract text from web-pages and learn from that. The way its designed is not to manually input any data but to design a structure to learn for itself, supervised or unsupervised. Finally I recently just tried to enhance the design by making it modular, for if the AI ever knew how to code (a pipe-dream) it could modulate its own functioning.
The reason I post this here is having little to no expertise in this area I cannot claim to have any special insights nor skill and wish to ask those interested to work with me on this project
Furthermore to allay any fears anyone has, I do have actual algorithms to show, and can explain the functioning and behavior of any of said algorithms to you.
The reason I merely don’t disclose my ideas outright are that we all fear someone taking our ideas, so I’m trying to put forth some level of caution, irregardless of how naive my designs may be.
That said I’m done sounding like an overly apologetic. Anyone interested in working with me to code this thing, I have started coding it, and would greatly appreciate your assistance and guidance.
Thanks for your time,
Jon