Thursday, January 29, 2015

The importance of the curriculum for a learner

As a substitute for knowledge acquisition and engineering machine learning is frequently thought of as free. But you can't just release an AI (or a human infant) into the wild.  As John Andreae has observed with his AI "...run on its own.  It quickly runs out of memory...it is better for PP to be 'taught' by a teacher." (Associative Learning, Imperial College Press, 1998, pg 13)  With Asa H I find that what is taught and the order in which it is presented is quite important.

Friday, January 23, 2015

Man and machine

In recent years I believe that I am finding myself spending more of my time with machines (computers) and less time with humans.  I simply find machines to be more rational than people are.   This may be sad or it may be another sort of Turing test.

Wednesday, January 21, 2015

QNX

I have heard good things about the QNX operating system so I have ordered a Blackberry playbook tablet in order to try it out.

Free will and nonlinearity

Nonlinear descriptions of reality may be one of the origins of what we think of as free will.

For some problems (like robot motion planning) it is appropriate to explore multiple alternative solutions (e.g. alternative routes). Suppose an AI has learned to model some activity using a quadratic function.  For a given input condition it computes the (>1) roots of this model quadratic.  Even if the AI always picks a solution (root) in the same way (first found, smallest, randomly, etc.) it sees that another output (solution) would work too.  It sees itself as free to use either solution to its problem.

The AI is going to store and reuse some of its problem solutions.  As goals and external conditions change it may even start using other roots or choose from the available solutions (roots) in some different way.  A notion/concept of free will might develop from this.

With a society of Asa H agents I sometimes use an executive or router to assign tasks (or sent input) to one or more of the specialist agents.  I am looking to see if a concept like "free will" evolves in this executive.

Friday, January 16, 2015

Intelligent systems

In 2000 C. W. de Silva argued that an intelligent system would possess:

sensory perception
pattern recognition
learning and knowledge acquisition
inference from incomplete information
inference from qualitative or approximate information
ability to deal with unfamiliar situations
adaptability to new, yet related situations
inductive reasoning
common sense
display of emotions
inventiveness

and that the then "current generation of intelligent machines do not claim to have all these capabilities." (Intelligent Machines, CRC Press, 2000, pg 5)

I claim that my AI Asa H has now demonstrated all of these capabilities (to varying degrees).

Friday, January 9, 2015

Asa H value change

Intelligences may change their values over time.  Slavery was once accepted by humans, now it is not.  I studied value change during my work on Asa F (see Trans. Kan. Acad. Sci., 107, 1/2, 2004, pg 37).

During some experiments Asa H has done self monitoring, watching how things like memory size contribute to utility/value improvement.  (see my book Twelve Papers, pgs 15 & 16, available on my website www.robert-w-jones.com, book)  In this way Asa H defined and developed the concept "knowledge."

Starting with only two primary values, offspring (copies) and lifespan, a society of  Asa H agents has now promoted knowledge into this category and reported this to me.

(I frequently use a society of agents because groups make better decisions than individuals do for the reasons explained in my blog of 17 Aug. 2012.)