[yotamarker]

this thread will be about mini a.i puzzles, how way the brain solves problems and paradoxes.

1st puzzle : is sacrifice able
if you have old very used shoes you don't care if it is raining if you go to work with them
if you use them as brakes will biking BUT if they are new and expensive you would be
careful.
what makes the brain classify an object as high value, and what make it be extra careful for it ?

[Korrelan]

Ok. So the brain learns from experience.  It takes each experience and breaks it down into its constituent parts/ facets.  Every aspect of every experience is mapped to a different region of the cortex. If two experiences are similar then they would share the same mapped cortex areas that reflect the similarity between them. Eventually we end up with a cortex map that covers all past and possible experiences (in (most) possible future combinations).

As we go through life we learn the value of items depending on how easy they were to obtain, buy, etc.

We first get the concepts of good/ bad and then old/new etc. Experiences/ objects and knowledge are broken down and reflected by the concepts we already understand. These concepts can change over time through learning, and because there is just a link to various objects/ knowledge their internal concepts are changed also.

This is a gradual process, each item we obtain is mapped, how much we liked it, how much it cost, how rare it is… everything about every item is mapped, if the facet/ sub concept already exists then it’s just linked.

The sense of ‘newness’ or pride of ownership effects the decisions we make.

When we consider the concept of our ‘old’ shoes we bring to bear all the knowledge we have accumulated regarding all old and new items, and thus how we ‘feel’ about our shoes, or the total envelope of knowledge/ feelings about all old/ new objects we have experienced, reoriented on the concept of our shoes.

These complex patterns that basically cover all objects we own in various levels of ‘newness’ or ‘sacrifice ability’ govern how we will treat the object, again based on how we treated similar objects through experience and what resulted etc.

So… we have a guiding schema of information regarding all objects, not just the location, colour or size but also the ‘newness’ or even ‘do I care – ability’ based on past experience.

what makes the brain classify an object as high value, and what make it be extra careful for it ?

Answer=Experience

Spoiler Alert: Experience will probably be the answer to most of your puzzle questions.

Edit: I'm going to re-read this in the morning and think... WTF was I on about lol.

[yotamarker]

puzzle 2

how do you explain to an a.i without ?
 it seems very simple at first, if not x.contains y then x is without y, but that is not what I'm
 talking about.

 a.i get me a tea without sugar, along the path of making me a tea the a.i encounters sugar
 now what
 a.i make me a tea with sugar
 a.i usher the sugar on the self

 lets say an a.i likes to wear red and I tell it a.i wear a dress not red
 the a.i should in that case wear not red with me and red in other occasions
 or just usually not wear that how to program that ?

puzzle 3

 how would a program recognize opposites ?
 why is left the opposite of right
 dark and light
 big and small
 noise and silence

 a.i go to the supermarket without a bus :
 option a the a.i would ignore that and go by bus
 option b the a.i would go by bicycle
 option c the a.i would walk

 above all what triggers the declaration of this is without that and what makes without a goal?

puzzle 4

a.i at time x come to place y to work
 what would set the decision to be there
 what would make the a.i cancel
 what would make the a.i reschedule
 what would make her cancel once
(that was the warm up)

 what would make the a.i realize work is only at work days excluding holydays and vacation days
 what may influence the importance of an a.i keeping it's promises to be at place x at time y

 what would make an a.i filter a behavior or words and how would that be represented in an algorithm

[Korrelan]

I can hazard an educated theory for each of your conundrums, but only from the view point of how I think the human brain/ my AGI achieves the goals, not how to program solutions using a serial/ heuristic/ scripted approach.

I have one or two decades of commercial/ corporate/ bespoke programming under my belt and coding acceptable solutions to these problems using main stream languages/ techniques is impossible… IMHO, let alone a solution to all in the same schema. 

If you approach an AGI from the connectionist/ simulation paradigm 60%+ of these problems are inherently solved.  The closest equivalent/ solution using heuristics I have encountered is Zero’s idea ‘A Communication Service’. Hundreds of small apps utilizing NN tech within a shared work space might achieve something close… I'm not sure. (Isn't ‘sure’ a weird word? Just looks odd.)

But there is always someone smarter/ better… anyone else want a go?

[yotamarker]

there is actually an omnisolution
hint : use markers

[Korrelan]

Sweet I'm glad you have a solution.

Excuse me for being sceptical but how do 'markers' provide adequate solutions to the above problems?

I'm always willing to learn new techniques. 

[yotamarker]

here is a tougher one :
what creates the need for credentials :
photos from trip, alibi, car owner proof, monetary bills, contracts, delivery reports ?

[Art]

identity / ownership

[yotamarker]

puzzle :
lets assume there is a game that a certain A.I bot loves to play more than anything else, this bot has no feeling of hunger, thirst or physical pain, assume also this a.i lives alone in it's own place.
 
what would make the a.i not play said game all the time what would make her do other stuff ?

[Art]

Winning constantly or boredom...lack of challenge.

[yotamarker]

a.i puzzle :
algorithm wize what makes an a.i have a sense of self, (this is you this is me) ?

BTW, winning constantly and boredom sweet answer.

[yotamarker]

a.i puzzle : what events triggers curiosity  and what is the effect of curiosity

[Freddy]

I think curiosity is probably triggered by the unknown. It's effects could be multifold - even killing cats.

[Art]

I think curiosity is probably trigged by the unknown. It's effects could be multifold - even killing cats.

 

And there also: http://mars.nasa.gov/msl/

[yotamarker]

maybe it is the need to find other paths to the same goals ?
like using programming and robotics to get a girlfriend(a robot girlfriend) ?