[goaty]

im not sure if you guys know what I mean by expert system.

I mean setting up a knowledge model (very much like MYCIN) that is fired off by its sensors for the current scene in front of the bot, with help of your proprietry computer vision system (Like Korrellan's for example ),  it is then transformed to a set of assignments of how to solve it from where it currently sits.

These assignments have to be in the form where they can be then directly transferred to its motors,   and then it can solve the same task as generally as possible, from as many aspects as you can manage to write the model.

There could be a tiered system where it shares general solves between its tasks,    Easy to say, hard to do, one could think.

[goaty]

Ok, ive gone and jumped the gun abit there. 

Coding a routine into the robot is fairly easy,  and 8plas career advice system, is about as complex as doing any menial special task, as in chors around the house, as far as I am concerned as I usually am quite an exaggerative idiot u know (given you know your ai systems well.)    maybe an assembler in a factory might take a bit longer, if theres many different pieces to be put together.

But...    and this is why I think it may have died off a little. (besides all the skeptical lies about how hard computer vision was back then... even after perceptrons were being created just for ppl to say they didn't work which was right trolley.)   is the fact that if the robot were to develop the programs itself, it forms a more truthful set of how deep an activity actually is, given all the build up to it AS WELL.

So the thing with expert systems,  I think,  is they work fine, they operate robots eye boggling well,   but to actually make one develop these programs is more advanced, because youll get a much deeper assignment set,  than if u just GRANT it, the ability to do it.  (which is cheating.)

And its a coin and half,  for "deep learning."

[Don Patrick]

What you describe sounds more like AGI than an Expert system to me. If I recall the main problem with Expert systems was that their knowledge/rules had to be programmed manually by experts in specific fields, who were not all that familiar with programming.

[WriterOfMinds]

Consider a medical diagnosis assistant: you type in a patient's symptoms and vital signs, and it spits out the patient's probable condition.

Expert System: uses symptoms as keys to search a database of possible causes. Said database was hand-written by a few experienced doctors.

Deep Learning: builds a symptom-to-cause matching algorithm by being trained on the records of thousands of previous patients.

AGI: studies medical textbooks and practices medicine like a human doctor. Diagnoses a new case with a combination of technical knowledge and past personal experience.

[goaty]

What im thinking of is the same thing,  it can be written in prolog as well.

But my spin is expert systems for mundane tasks,  rather than "expert" tasks,   like for say,  an expert system for doing the dishes,  or one for taking the dog for a  walk.  With a bent towards automation.

[Art]

While kind of expensive, you could get the Boston Dynamics, Spot, to walk your dog for you.
Maybe they'd become great friends!;)

[goaty]

I bet its not that complicated to entertain a dog with a robot,  but u have to do it a special way.

[HS]

I tries! 

https://www.youtube.com/watch?v=4Ci6XEsJZeI&feature=youtu.be

[AndyGoode]

I bet its not that complicated to entertain a dog with a robot,  but u have to do it a special way.

Get a cat instead. They seem to be more easily entertained by robots.

Cat Vs. Dinosaur - Cat Spooked, Then Befriends a Robot Dinosaur - Maya The Cat
MoulfritProd
Published on Jun 25, 2015