AI News, Anthropomorphic Robotics Project/Brainstorming/Artificial intelligence and cognitive systems

Anthropomorphic Robotics Project/Brainstorming/Artificial intelligence and cognitive systems

You tell the robot, 'Dig a circular hole four feet deep and 10 feet in diameter on the north east corner of our property no closer than 10 feet to property boundary.

'like' is positivly correlated with 'positive emotional valance' but positive emotional valance is very weakly associated with 'farm' and 'dig'...

4-5 feet long, wood, handle, metal piece on end .5-.15 feet squared in flat area attached to handle.

The robot grabs the handle half way down the handle and is careful to avoid object collision as it walks out the the north east corner of the property.

'Dig a circular hole four feet deep and 10 feet in diameter on the north east corner of our property no closer than 10 feet to property boundary.

Examines shovel and earth and runs through simulatory analysis engine to see how to to best utilize the highly correlated 'shovel' with 'dig'.

The shape of the metal part of the shovel is correlated with 'sharp', and 'peirce', and 'dig' and 'carry', 'soil', bang, hit.

The robot examines 'dig' and 'property' together they are correlated with 'soft' 'soil' 'earth' 'soil' 'ground' 'rights' 'ownership' 'excavate' 'soft'...

Initial thoughts from this brain storming session are that for a robot to have 'intelligent' cognitive systems it would need a rather large database of precorrelated terms to other terms.

So every term would have all possible correlates arranged by probability, so when 'reasoning' a robot would have to be able to effeciently grab terms correlated to objects it its environment and auditory/cognitive/memory systems.

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