I can we can talk about what are the requirements of the
sensory frontend project.
INPUT
=====
I suggest it should initially include 3 inputs:
1) vision
The visual input would be the most computationally demanding,
and I suggest to reduce the resolution to as low as 32x32.
2) text
These text inputs will be passed literally without
understanding. I include this as a separate "sense" in
a standardized AGI framework.
3) sound
May be added later.
OUTPUT
======
Its output are simple propositions that describe sensory
events. Basically the "what" and "where" and perhaps
motion classifications.
ATTENTION
=========
It should also contain an "attention" input which specifies
what kind of information should be focused on. Examples:
1) a specific area in the visual field
2) a certain class of objects such as faces or shapes
3) combinations of the above
4) higher level concepts (which will be developed later)
INTERACTIVITY
=============
Object recognition can be partial. For example you can ask
it to recognize an object and it may output "30% A, 70% B"
or something like that. Then, it's up to the developer to
synthesize information gathered from multiple perspectives.
(I don't think the sensory module should be concerned with
the latter task).
KNOWLEDGE EXCHANGE
==================
This is a more ambitious feature. I want to create a protocol
for exchanging knowledge that are learned from different robots.
For example one person can train his robot to recognize fruits
and another trains his for faces. Then a web server may provide
tools to maintain a database of such "knowledge" files as well
as tools to merge them, etc.
Since the sensory module will be written using feedforward ANNs,
Standardized knowledge exchange should be possible. This is
also very important because ANNs learn so slowly.
OK! Please give your comments or suggestions of new features.
YKY
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