Hi James,

    I have a whole bunch of stuff that I'm currently assembling to launch a 
website and request for participation.  For a variety of reasons (mostly having 
to do with my current work schedule and my summer vacation schedule), I'm 
planning to launch the website July 21st (sorry that it's so far out -- but I'm 
basically rewriting almost all my personal notes/documentation/plans for public 
consumption).

    Maybe if you could give me an idea of what specifically you are interested 
in having me expand upon . . . . (since I *thought* that I outlined the general 
idea fairly well in the posting :-).  I would suspect that you are most 
interested in whatever you mean by "process<ing> books/ newspapers as a main 
method of learning".  Most of the trick to what I'm doing is having a *really 
good* knowledge representation scheme; always, always, always bounding the 
scope of the problem through inheritance from an understood minimal corpus; and 
never leaving things outside the bounds of what is handled (which is why I 
think that Cyc fell flat -- it "pseudo-encoded" the vast majority of it's 
knowledge in a form that humans could read and understand and assumed that Cyc 
could understand -- but which Cyc really couldn't, as evidenced by the fact 
that it needed a nearly infinite number of hand-coded *and redundant* rules).

    What are you doing with your text processing and bot that you consider to 
be unique (and therefore likely to advance you past previous systems)?

        Mark
  ----- Original Message ----- 
  From: James Ratcliff 
  To: [email protected] 
  Sent: Tuesday, April 17, 2007 3:10 PM
  Subject: Re: [agi] AGI interests


  Mark,
    This is the closest Ive seen so far to my work and what I believe in, Have 
you got some more specific information / code / algorithm / papers on gathering 
and processing world information and discovery of?
    I have been working with text processing and getting a bot to "read" and 
process books/ newspapers as a main method of learning.

  James Ratcliff

  Mark Waser <[EMAIL PROTECTED]> wrote:
        Since everyone else is doing it . . . . 

        My interests are 
      a.. Coordinated Knowledge-Base/World-Model Building and
      b.. Friendliness/Morality/Goal Development & Optimization
        Fundamentally, this means developing
      a.. Knowledge-harvesting agents
      b.. Knowledge-collapsing/coordinating agents
      c.. Knowledge-retrieval agents (includes planning, will be Friendliness 
constrained)
      d.. Conversational agents (includes building a model of the other 
conversant, will be Friendliness constrained)
        My personal belief is that a collection of the above agents with a goal 
and access to a knowledge-base/world-model *is* a self-willed mind.  Given that 
I believe that all of the above could be developed in a fairly brief time-frame 
(i.e. during *my* lifetime), I am also extremely interested in (Friendly!) 
motivational systems.

        For *my* purposes, I am limiting *my* concept of AGI to the concept 
level and above.  I am not doing any sensory work other than with textual and 
electronic data (well, except for some dabbling in two-dimensional image 
reading for a specific project).  I think that this is a rational partition and 
does not violate the General in AGI since I *don't* believe that our senses are 
"Intelligent".

        I have an evolving knowledge representation scheme that grew out of 
some dabbling with a link parser with some of the Novamente folk (since it's my 
belief that language fairly closely mirrors the structures that the 
brain/intelligence is using and that language and our brains have co-evolved to 
a better-than decent solution).  I am trying to create a "seed 
knowledge-base/world model" starting with an initial *vocabulary* of Simple 
English or Basic English, rules for parsing it into my knowledge scheme 
(knowledge harvesting), and rules for coordinating/collapsing knowledge 
(including tracking sources of knowledge and recognizing *and maintaining* 
conflicting knowledge).  Translating the knowledge scheme back into English is 
fairly trivial (with most of the difficulties being where to terminate the 
graph and how to organize the phrases for maximum clarity) but scaling is a 
HUGE problem.

        One of the PRODUCTS that I'd like to quickly produce is a system that 
does conflict resolution for humans (i.e. clearly representing what the 
disagreement is down to the level where they agree to disagree).  I'd then like 
to turn that product to work on my current (pretty much complete) model of 
Friendliness and how to turn that into a motivational system (or, maybe, I 
could just start a huge site for arguing politics  :-).

        I am currently trying to get a lot of this into shape where I can ask 
for collaborators.  Since the core of "my" scheme is a defined *common* 
knowledge-representation framework, I believe that it will be possible to 
parcel out various tasks (most of which will be agent-development, translators, 
and user interfaces).  My personal preference is the .NET framework (solely due 
to the amount of infrastructure); however, I would love to see interfaces to 
work done on any platform.  While my description strikes me as sounding very 
logic-based, the knowledge-representation is a giant network and many of the 
agents I've spec'ed act using schemes more familiar to neural networks 
(spreading activation) or enzymes (yes, I am truly going back to my roots :-).

        Having seen the internals of Novamente, I am very impressed but they 
are currently going down a slightly different path than I would enjoy following 
(doing more knowledge creation and discovery than harvesting and collapsing 
coordination).  I like what I've heard of Richard Loosemoore's ideas and would 
like to see more.  From this thread, I am intrigued by Stephen Reed and John 
Rose since they seem to be on the same path that I'm following.

         Oh yeah . . . . I started out as a biochemist and moved into computers 
to facilitate upgrading our simulations (and even have a few published papers 
in enzyme kinetics in the early 80's).  I've worked in the financial arena 
(including an Expert System Shell and Expert System Builder for Citicorp in the 
early/mid 80's), government contracting (including a Project Manager's Support 
System with an AI for scheduling, numerous Expert Systems for procurement, and 
a neural network for diagnosing radioactive thallium images of the heart for 
Air Force pilots), intelligence (which is why I am now *not* willing to do most 
government contracting), international development (which I'm pretty sour on as 
well), and a large number of data collection/sharing/analysis systems.  I have 
a M.S.E. in Artificial Intelligence and bailed out of doing my dissertation on 
Machine Learning and Human Decision-Making when my son was born. 

            Mark
      ----- Original Message ----- 
      From: Russell Wallace 
      To: [email protected] 
      Sent: Monday, March 26, 2007 4:02 PM
      Subject: Re: [agi] AGI interests


      I don't believe AI in the sense of a self-willed mind is going to happen; 
fortunately, it doesn't need to. The two problems I want to help solve are the 
global loss of fifty million lives a year, and the difficulty in living in the 
99.999...999% of the universe that isn't Earth. Each of these is a problem not 
of magnitude but of complexity, so to solve them we need better tools for 
handling complexity.

      At present we have marvellous tools for handling human-readable 
information, but essentially all significant work still needs to be done by 
humans. Even our richest, most sophisticated and flexible programs are tiny 
isolated fragments, brittle and opaque, animated step by small painful step 
only by the constant labor of armies of human workers. We need to do for 
machine-readable information/procedural knowledge what we have done for text: 
create a rich, fluid environment in which humans need merely say what we want, 
and the machines will handle the details of delivering it to us. If we can 
build tools that powerful, we can start making real progress on the problems of 
complexity. 

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  James Ratcliff - http://falazar.com
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