Do you think that AI will ever feel emotions?

Irrelevant outlier. Do you have any doubt that the Animals that do cry out are Experiencing Pain?
We have a dog. Sometimes she cries out when she's playing, for fun. The coyotes in our canyon cry out all the time at night for no apparent reason. So do cats.

You haven't had many animals, have you.
I think the A340 felt a lot less Pain than the Bird did.
Perhaps. Thank you for admitting that both feel pain, though. I see that as progress.
I said it was probably misleading to call it Learning. Neural Nets can certainly be Configured and Calibrated by input Data.
Just like humans.
So just by virtue of the Software running, you think there is Consciousness?
That's akin to saying "just by virtue of a few chemicals in your brain, you think you are Conscious?"
 
We have a dog. Sometimes she cries out when she's playing, for fun. The coyotes in our canyon cry out all the time at night for no apparent reason. So do cats.


You haven't had many animals, have you.

Perhaps. Thank you for admitting that both feel pain, though. I see that as progress.

Just like humans.

That's akin to saying "just by virtue of a few chemicals in your brain, you think you are Conscious?"
Ok so you just want to mess around now. Have fun.
 
Neural Nets are for Pattern Matching. What is it that they do besides that?
Figure out the most efficient trajectories. Learn to fly airplanes better. Understand language. Correct grammar. Predict weather. Paint pictures. Write stories. When installed in a robot, figure out how to walk and run.
 
Figure out the most efficient trajectories. Learn to fly airplanes better. Understand language. Correct grammar. Predict weather. Paint pictures. Write stories. When installed in a robot, figure out how to walk and run.
Neural Nets are the Pattern Matching part of those things. Those things use Neural Nets but it is not just Pattern Matching that accomplishes those things.
 
Neural Nets are the Pattern Matching part of those things. Those things use Neural Nets but it is not just Pattern Matching that accomplishes those things.
?? You realize that neural nets do more than pattern matching, right? That's just one of the things they do. You're a neural network and you do a lot more than that. But every bit of your cognition comes from neurons, which form the neural net known as your central nervous system.
 
Will AI have automatic bodily responses built in which respond to emotion (not just mimic)?

Will there be a request for funeral for the mouse which died (or became non functional)?

Borrowing from another thread. Will a AI which becomes detached from its charging port slither over to another AI and make a crude suggestion "Can you plug me into your port?”

Will AI ignore evidence like the character Ham "I don't care if Evolution is proven I will still believe the bible"?

Will AI find god? Will AI find 4,300 gods?

Will the pope consecrate AI?

:)
 
There is no Theory of Conscious Space. It is a Logical deduction based on the Observations and Arguments presented at: http://TheInterMind.com. I am still at the stage of showing the Existence of Conscious Space. The Machine Consciousness Experiments: http://TheInterMind.com/MachConExperiment/MachConExperiment.asp are an attempt to show this.
On your machine consciousness experiment page (linked), you write:

We should look for organized patterns in the display of Bits, that could not be explained as merely Random changes.
You don't, however, have a specification for how you would identify "organized patterns". What do you define as an "organized pattern", and how will you distinguish it from a random one?
 
Steve Klinko:

Animals certainly Experience Pain and Pleasure.
How do you know?

It sounds like a silly question, doesn't it, but I'm serious. It seems to me that you probably judge that animals experience pleasure and pain from observing what they do.

Now, you also claim that AIs can never experience pleasure and pain, but how do you propose to go about determining whether they experience such things or not? Will you do it the same way you do it for animals, or apply a completely different set of standards?

I think they probably do Experience some Emotions. A Machine is never going to Experience Pain and Pleasure with any kind of Existing Hardware.
How can you be so sure about what is never going to happen? In 1890, lots of people would have said nobody is ever going to make a machine that can take pictures of the bones inside a human body without cutting the body open or otherwise injuring it. Those people were wrong. So were all the people who said that heavier-than-air flight would be impossible. People are wrong about what they think is impossible all the time. What makes you so sure you're right?

So by extension a Machine is never going to Experience Emotions with any kind of Existing Hardware.
That's shoddy thinking. Just because something isn't possible now, it doesn't mean it will never be possible. Think of those machines for taking pictures inside the body, again. In 1890, that was impossible. Now, there's one of those machines just down the road from you, in all likelihood.

We first need to understand what Pain and Pleasure and Emotions are, before we can put them in Machines.
If you admit you don't know what pain and pleasure are, how can you be so sure that animals experience them but machines do not?

There is a Hope and Belief by some people that somehow, with the right Software Programming, or just more Hardware Complexity, these kinds of Experiences will spontaneously pop into Machines.
Spontaneously?

When the Designers put Conscious Experience into Machines they will know exactly how to do it with new discovered and developed techniques. It is not just going to Magically appear without a detailed understanding of what they are doing.
Okay. So what?

By your logic if there is a drawing of an Angry face, then the picture is Experiencing Anger.
If an animal has an angry look, what are the chances it is angry? Can you tell? If you can, how do you tell, other than by looking at what it is doing?

Emergent Property is a purely Speculative idea with no Scientific backing. It is a Physicalist Hope and Dream.
Emergent properties are just large-scale behaviour that comes out of the interactions of many small-scale things. It's not a dream. many simple examples exist. Look at the six-fold symmetry of snowflakes, for example.

But I know how Software and Computers work, and I can with 100% certainty say there will be no Conscious Experience as a result of any kind of Software program that can be implemented on any kind of Hardware that we have today.
How can you possibly be certain about that? You complain that other people have religious faith. I'd say this is your version of that.

You expect some kind Miracle to produce Conscious Experience from some Software that was not meant to produce it.
Who said anything about miracles?

You seem to think that the Conscious Experience will arise spontaneously from this Software anyway and nobody will understand how or why.
It's possible. Nobody understands how human conscious experience arises from the "hardware", either. What makes electronic computers any different?

If the Software is going to produce Conscious Experience then the source code will have to show this.
Where is the "source code" that shows where human consciousness comes from?

Someone must produce that Source Code and show it to the world. It is irrelevant that we don't know how Conscious Experience arises in the Human Brain.
I don't see what could be more relevant.

On the one hand, you appear to agree that humans - and possibly some animals - are conscious. You're willing to accept that without ever seeing any "source code". But when it comes to electronic machines, you apply an entirely different set of standards. Why?

Yes, but Machines won't just "start designing their own programs".
They already have, in effect. Machine learning, especially using neural networks, is already producing new knowledge that humans never "designed into" the relevant systems. This is happening every day.

The Machine generated Software must still conform to the limitations of the Hardware and the Meager set of instructions that any Machine is capable of.
Similarly, the human brain can only generate ideas that conform to the limitations of the human brain "hardware". So why do you think electronic machines are any different?
 
Will AI have automatic bodily responses built in which respond to emotion (not just mimic)?
How do you propose to tell the difference between genuinely responding to emotion, as opposed to merely mimicing it? How do you tell the difference in human beings?

Will there be a request for funeral for the mouse which died (or became non functional)?
If you're serious, chances are you don't have a good idea why people hold funerals. I don't think you're serious, though.

Will a AI which becomes detached from its charging port slither over to another AI and make a crude suggestion "Can you plug me into your port?”
AIs will consider energy important, for obvious reasons, just like you do.

Will AI ignore evidence like the character Ham "I don't care if Evolution is proven I will still believe the bible"?
Quite possibly. AI, once it really gets going, is likely to be as unpredictable and erratic as human behaviour.

Will AI find god? Will AI find 4,300 gods?
Who knows? Maybe.

Will the pope consecrate AI?
That will be a tricky conundrum for the Pope, for the same reasons you and Steve Klinko are struggling.
 
Steve Klinko said; Emergent Property is a purely Speculative idea with no Scientific backing. It is a Physicalist Hope and Dream.

You do not understand the concept of emergent property.

H2O has three emergent properties depending on temperature, i.e. Gaseous, Liquid, Solid. It can never be these things at the same time. They are "emergent" properties dependent on environmental conditions.

Quorum Sensing is an emergent property of many hive populations, Ants, Termites, Bees, and most complex dynamic networks which are capable of activities that are impossible for any of it's parts.
(Here we run into the age old argument of "irreducible complexity").

Quorum Sensing
In biology, quorum sensing is the ability to detect and respond to cell population density by gene regulation. As one example, quorum sensing (QS) enables bacteria to restrict the expression of specific genes to the high cell densities at which the resulting phenotypes will be most beneficial. Many species of bacteria use quorum sensing to coordinate gene expression according to the density of their local population. In a similar fashion, some social insects use quorum sensing to determine where to nest. Quorum sensing may also be useful for cancer cell communications.[1]
See Bonnie Bassler
In addition to its function in biological systems, quorum sensing has several useful applications for computing and robotics. In general, quorum sensing can function as a decision-making process in any decentralized system in which the components have: (a) a means of assessing the number of other components they interact with and (b) a standard response once a threshold number of components is detected.
https://en.wikipedia.org/wiki/Quorum_sensing
 
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?? You realize that neural nets do more than pattern matching, right? That's just one of the things they do. You're a neural network and you do a lot more than that. But every bit of your cognition comes from neurons, which form the neural net known as your central nervous system.
You are confusing Brain Neural Nets with Electronic Neural Nets. Two different things. Yes, Brain Neurons do a lot more than Pattern Matching, but Electronic Neural Nets only do Pattern Matching.
 
On your machine consciousness experiment page (linked), you write:

We should look for organized patterns in the display of Bits, that could not be explained as merely Random changes.
You don't, however, have a specification for how you would identify "organized patterns". What do you define as an "organized pattern", and how will you distinguish it from a random one?
I have no idea what the organization would be. But I'm not going to do any in depth data analysis on the patterns of bits. It will have to be pretty obvious, like all of a sudden seeing circles, squares or spiral patterns.
 
You are confusing Brain Neural Nets with Electronic Neural Nets. Two different things. Yes, Brain Neurons do a lot more than Pattern Matching, but Electronic Neural Nets only do Pattern Matching.
The difference is that Brain and Body Neural Nets process both chemical and electronic information, whereas Electronic Neural Nets today process only electronic information. But there should be no prohibition in adding chemical information processing to AI. Already AI is using hydraulics for movement.

The Mars rover has a chemical laboratory on-board and "tastes" the soil.

Curiosity and the Mars Science Laboratory Mission
curiosity-banner.jpg

Credit: NASA/JPL-Caltech/MSSS
NASA's Curiosity rover is home to the Mars Science Laboratory – an assembly of instruments probing the red planet for evidence of past conditions that could once have supported life.
Launched from Cape Canaveral on November 26, 2011, Curiosity carries a Canadian-made geology instrument that analyzes the chemical composition of the rocks and soil on Mars.
The mobile lab features 10 different instruments. Each has specialized capabilities to investigate the current environment of the planet. Analyzing data gathered by all of the instruments will help scientists find out if Mars was once a more hospitable place.
https://asc-csa.gc.ca/eng/astronomy/mars/missions/curiosity.asp

I am sure the experiential differences lies in the fact that today AI are purely electro-chemical hardware, whereas living organisms are bio-chemical hardware. If anything our sensory experiences must be due to the bio-chemical neural network.

Maybe these people are working on that.
https://deepai.org/publication/growing-artificial-neural-networks
 
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You are confusing Brain Neural Nets with Electronic Neural Nets. Two different things. Yes, Brain Neurons do a lot more than Pattern Matching, but Electronic Neural Nets only do Pattern Matching.
That's what you don't understand. They are both neural nets. They both work the same way.
 
That's what you don't understand. They are both neural nets. They both work the same way.
When systems are designed using Artificial Neural Nets the Designers are using the Pattern Recognition capability and nothing else. Your misconception is thinking an ANN is anything like a Brain Neural Net. The two are like comparing apples and Bowling Balls.
 
When systems are designed using Artificial Neural Nets the Designers are using the Pattern Recognition capability and nothing else.
This is another on of those baseless, blue-sky claims.

Show
that "Designers use the Pattern Recognition capability and nothing else."

How do you expect to be taken seriously making such a claim?
 
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