Perhaps we have to define an amoeba agent with very few needs and actions in 
order to get measurable and verifiable results.
Or we can just use one of the Turing Test variants that are around.
~PM

Date: Tue, 27 May 2014 15:34:38 -0400
Subject: [agi] Even a Simple Narrow Simulation Might Be Interesting
From: [email protected]
To: [email protected]

 I was trying to set up a simple ground rule case for a partial simulation of 
AGI. As I started by thinking of the simplest case I could imagine and I found 
that it was a little more interesting than I thought it would be.
 I realized that the old numerical range could be used to test some important 
ideas. The idea is that a set of narrow AI implementations could be used to 
develop and test multiple possibility indexing. Suppose that the program has 
learned various responses to thousands of situations. These responses may be 
weighted for variations in kinds of cases. So in a typical situation the 
program might detect hundreds of different characteristics (in the observable 
input environment) that it had learned to associate with some response so it 
would have to find strategies to choose the best responses for the situation 
and strategies to learn from the experience.
 Even if the situation - which is input to the simple AI program - is made of 
distinct components, the possible combinations that might be relevant to 
finding a good response could be very complex. For example, if it learned abc 
represented a situation that it should respond to (with some kind of response), 
it might wonder if abxc was a variant of that situation. 
 The problem here is managing and indexing of multiple possible responses that 
were reasonable for a particular component-of-a-situation when the typical 
situation might consist of hundreds of situation components.
 So even a very simple AI simulation might lead to some interesting results.(Of 
course there would have to be some way to evaluate the responses so the simple 
simulation would either have to be tied to some game or it would have to be 
worked out carefully).
Jim Bromer




  
    
      
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