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General Chat / Re: Ten Commandments of Logic
« Last post by ranch vermin on July 19, 2018, 09:33:43 pm »
sds
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General Chat / Re: Ten Commandments of Logic
« Last post by ranch vermin on July 19, 2018, 09:32:41 pm »
if something follows another,  it is how markov chains work. :)   
If enough time is taken into account, it slowly grows less correlation, but it becomes applicable to less situations.
There could be a way to fix it, by maleizing it with synomic equal meaning forks.
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General Chat / Ten Commandments of Logic
« Last post by ivan.moony on July 19, 2018, 06:42:13 pm »
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General AI Discussion / Re: Mental Tools / Building Blocks of Intelligence
« Last post by Zero on July 19, 2018, 03:36:45 pm »
I tend to agree with the original post, intelligence as a toolbox. Human mind has evolved against prehistoric challenges: finding food, hunting, escaping predators, ...etc. These challenges have shaped the way we see things.

It's so easy to set up a chatbot nowadays (notice I didn't say a good chatbot...), I think that's the way to go. Thinkbots. I'm working on a simple system currently, that brings together several excellent "low-tech" existing libraries: a chatbot engine (Rivescript), an in-memory search engine (Lunr), a logic engine (Logicjs), a limited NLP library (Compromise), a behavior/utility tree (homebrew), and an ECS-based game engine (Crafty), in a wrapper of Goldenlayout and probably T3js. I'll try to integrate these simple tools in a single easy framework that would allow users to create offline modular Ais, with sharable parts. I have a nice avatar already, see pic.

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XKCD Comic / XKCD Comic : Software Development
« Last post by Tyler on July 19, 2018, 12:00:02 pm »
Software Development
18 July 2018, 5:00 am

Update: It turns out the cannon has a motorized base, and can make holes just fine using the barrel itself as a battering ram. But due to design constraints it won't work without a projectile loaded in, so we still need those drills.

Source: xkcd.com

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General AI Discussion / Re: Anyone know of a parser like this?
« Last post by LOCKSUIT on July 19, 2018, 09:05:45 am »
Post #65 - am I right?

Yes I realized myself that before a sentence can match a 'node', it must first cleans the data, like "alice whom was dieting drove a car and saw bob" or "Last night I shot an elephant in pajamas." needs re-arranging or known facts like elephants/animals don't wear pajamas, they could! but don't, last night and humans wear pajamas matches humans wear pajamas at night. The aim though next is to match a memory like the very sentence itself, the understanding part is already done.
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General AI Discussion / Re: Mental Tools / Building Blocks of Intelligence
« Last post by spydaz on July 19, 2018, 07:54:10 am »
OK

Can we come up with some rules/motivations to direct a neural network?
The neural net can learn facts but we need rules to steer it in helpful directions for an organism. Help it to develop a general functionality. Later if a need is detected, (as it should be if good rule/motivator mechanisms are added at the beginning) these drivers can begin constructing more esoteric skills. Maybe the drivers would work best and be easiest to make in computer form, and the net would work best as a physical structure.

It can be interesting "biasing";

The approaches and reasoning behind biasing is often not truly explained... When a neural network has been fully trained .... adding biasing after is like an organic thought. one day you think this idea is correct and others not so much.... fluctuating biasing based on "Emotion?" could give a more accurate "human type response" where we actually make mistakes or slight errors even though our understanding and muscle memory is intact... too many people talking can biased your thinking ... yet when surrounded by silence your thinking is focused.

Mistakes are a human traite as a robot could not make mistakes if fully trained... there fore it could not pass the Turin test.... as mistakes should be a part of determining if "one is speaking to a human"
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General AI Discussion / Re: Anyone know of a parser like this?
« Last post by spydaz on July 19, 2018, 07:44:39 am »
It seems to me you do not understand the basic concept of hierarchy in parse trees. Do some reading.
https://en.wikipedia.org/wiki/Parse_tree

Ivan: I would think that if an elephant were to wear pajamas, it would also do so at night because that's what pajamas are for. If a program already has the knowledge that humans wear pajamas, or that elephants don't, then the time of wearing doesn't add anything in my view. Still, it's interesting that a specification of time could be a hint in other scenarios.

NNs typically do not loop, they just branch from input to output. However, Google set one up to feed the output back to the input in their Deep Dream project and this led to "hallucinations", where initially faint patterns are enhanced. http://www.clowndotpy.com/deepdream
This is not recommendable however, as it leads the machine to see things where there aren't. It's like you have a statistical method that's 90% correct, and then you pass that result through the same NN, then you get 90% of 90% correct, which is 81%, etc, etc. NN loops become less accurate as far as I understand.

I try to think of it as the "Subject/Object" >> is "Action" << "Subject/Object" in this way it matters not if the subject is an elephant and the object is pyjamas.... the first aim is to collect the components and structure.... If an Elephant can or cant wear pyjamas can be handled by a later component which deals with the logic of "Can an elephant wear pyjamas"  as unless both of the "noun" objects/Subject have entanglement information collected....it must be TRUE, until a contradictory entanglement presents itself for probablisitc reasoning to begin... or even another confirmation of the FACT elephant is wearing pyjamas ?....

The important factor is the Truths which can be determined from the sentence ; and the extracted subjects/objects/actions Which enable higher level scripts to process the collected data.... as Parsing a sentence etc ... if all components are not discovered... it may not even be "Saved" as its incomplete record. but it may still be processed to return a response.. or extract some meaning.
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Avatar Talk / Personal Avatar
« Last post by 8pla.net on July 18, 2018, 07:48:48 pm »
Personal Avatar

Screen Capture:

Reference: http://aihax.com/avatar/personal/

Recently extended with more free compliments...
And now more optimized than the introduction.
Worthy of its own new thread. I hope you agree.

I think in animation, there are various levels of
accuracy in lip sync.  In many cases, it is acceptable
not to be perfect.  As long as it is reasonably close,
most of the time, it works.

What do you think of the personal lip sync algorithm ?



Citations and Credits

ResponsiveVoice Text To Speech  https://responsivevoice.org
ResponsiveVoice-NonCommercial licensed under https://creativecommons.org/licenses/by-nc-nd/4.0/


The Gibson Girl by Charles Dana Gibson


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No worries, too complex if anything. I'm having to go research stuff on Wikipedia. I guess I prefer messy systems where probability is on your side. Lets keep working on both our approaches, I'll post again if I have some inspiration or  (god forbid) make actual progress :)
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