Friday, June 23, 2017

Asa's pain system again (see my blog of 31 March 2016)

I've had a Lego robot fall off a (3 foot high) table top. Bricks went everywhere but there was no other noticeable damage. My pain system would accurately assess such an event.

It takes about a 3 pound force to disconnect one Lego stud and about a 2 pound force to disconnect one Lego brick pin.  On the other hand it takes about a 5.5 pound force to disconnect one Vex IQ connector pin.

A Vex robot may possibly be susceptible to damage which is not detectable by Asa's pain system alone.

Wednesday, June 14, 2017

Reaping the whirlwind?

How many republican congressmen will need to be shot before we get meaningful gun control?

Saturday, June 10, 2017


According to Everett's theory human intelligences are "complex internal processes" in Hilbert space*. (The Emergent Multiverse, D. Wallace, OUP, 2014, pg 100 ) Could god simply be an even bigger (or even an infinite) "complex internal process" in Hilbert space? And possibly entangled with our world? To believe in such an extraordinary idea would, of course, require extraordinary evidence. Its just a thought.

* " can regard the state functions themselves as the fundamental entities." "...all of physics is presumed to follow from this function alone." The Many-World's Interpretation of Quantum Mechanics, Hugh Everett III, pg 9

Thursday, June 1, 2017

A.s.a. H. as a prediction engine

Andy Clark believes that intelligence is all about the ability to make accurate predictions. (in Brockman, This Idea Must Die, Harper, 2015, pg 310) My artificial intelligence Asa H predicts what will be seen in the next time steps. (see, for example, my blog of 10 Feb. 2011) We can assess the accuracy of each such prediction by taking a dot product of the prediction vector and the next actual observed input vector. A running average of this prediction accuracy can then be kept and made an additional vector component of that case's overall vector utility. (see my blog of 19 Feb. 2011)

Wednesday, May 31, 2017

A.s.a.'s art

High up in the associative hierarchy, on long time scales, Asa's memory and extrapolation/interpolation generates stories, fiction, literature. Some of these patterns are identifiable as examples of Gozzi's 36 dramatic situations. (The Thirty-six Dramatic Situations, George Polti, Editor Co., 1917) (For example: pursuit, obtaining, daring enterprise, fatal imprudence, disaster, erroneous judgement.)  "Literature must be an analysis of experience and a synthesis of the findings into a unity." (Rebecca West, Ending in Earnest, Books for Libraries, 1967) This may tell us something of how and why art emerges from intelligent systems.

In early experiments I taught Asa Boolean logic operations. Could a vision system allow Asa to develop a spatial logic? (Handbook of Spatial Logics, Aiello et al, Springer, 2007) Would this result in an internal picture language (Picture Language Machines, Kaneff, Academic Press, 1970) with visual art developing higher up in the hierarchical memory?

Thursday, May 25, 2017

VEX IQ robotics platform

It may be possible to use the VEX IQ robotics construction system with my pain subsystem. (Depending upon how VEX IQ robots tend to fail.) Something like the VEX clawbot IQ might involve about one hundred pain sensors. A simpler design should be possible that would reduce this number.

Wednesday, May 24, 2017

Ground level

What is the best way to sense/define the ground/floor? An altimeter is easy but not very precise. I have placed force sensitive resistors on the foot pads of a walking Lego robot. These feel the push of the floor and the weight of the robot and any load it carries.