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On 2017-02-17 10:03 PM, Jim Bromer wrote:
> Sorry. OK, you said the meditating was high phi. But your response
>  ignored (and was a distraction from) the point that I made that
> it would be possible to create computer programs that were capable
> of integration and differentiation (and therefore were capable of 
> learned exclusion) which were not capable of anything resembling 
> true intelligence.

Do you have examples?

> And I explicitly included the possibility that improvements in AGI 
> might be slow and uneven.

You just said there wasn't even a glimmer.

> I do not have the time to waste 'doing research' into conjectures 
> which are not demonstrable and which cannot be buttressed by 
> reasoning.

That is very sad. If you don't do research, I don't understand how you
intend to contribute anything of value.

Some studies that used/demonstrated integrated information theory in
humans:

Improved Measures of Integrated Information
<http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1
005123>
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2930263/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2823915/
http://stm.sciencemag.org/content/5/198/198ra105
Signature of consciousness in the dynamics of resting-state brain activi
ty
http://www.pnas.org/content/112/3/887.short


A simplified explanation of various predictions and explaining powers
of IIT (cites numerous demonstrating studies):
<http://www.scholarpedia.org/article/Integrated_information_theory#Predi
ctions_and_explanations>

Some Machine Intelligence specific studies:

An affective computational model for machine consciousness
https://arxiv.org/pdf/1701.00349.pdf
High Integrated Information in Complex Networks Near Criticality
http://link.springer.com/chapter/10.1007/978-3-319-44778-0_22
Group Minds and the Case of Wikipedia
https://arxiv.org/abs/1407.2210
Integrated Information Theory and Artificial Consciousness
<https://books.google.ca/books?hl=en&lr=&id=YIIJDgAAQBAJ&oi=fnd&pg=PA1&d
q=artificial&ots=nYUVMmJnSw&sig=WSi1ECoHAhYrwgrNdUHu3hX4kWU#v=onepage&q=
artificial&f=false>
The Information-theoretic and Algorithmic Approach to Human, Animal
and Artificial Cognition
https://arxiv.org/abs/1501.04242

> You have not even begun to respond to the crucial criticisms.
> 

I wasn't aware of any criticisms, other than misunderstandings on your
behalf.


> Jim Bromer


Thanks,
motivated me to post a bunch of links to studes.

> 
> On Fri, Feb 17, 2017 at 7:38 PM, Logan Streondj <[email protected]
> <mailto:[email protected]>> wrote:
> 
>> You said that meditating might be a form of low phi.
> 
> no i didn't. i said several times in different ways:
> 
> Actually passive consciousness can be high phi, the phi level is 
> determined by integration, information and exclusion, not by 
> activity.
> 
>> we should have seen glimmers of true AGI even if those glimmers 
>> did not equal strong AI. So the question is why haven't we seen 
>> that?
> 
> we have, your just turning a blind eye to it.
> 
> On February 17, 2017 6:04:40 PM EST, Jim Bromer 
> <[email protected] <mailto:[email protected]>> wrote:
> 
> Here is my point of view. GOFAI should have worked, in the sense 
> that it should have kept improving over the years. That
> improvement might have been slow and uneven but it should have
> worked. What we see now is that most of the creative processes seem
> to occur within neural nets, especially in hybrids that use both
> neural nets and systems that have been designed for more discrete
> (or more discrete-like) kinds of reasoning.
> 
> If history had unfolded in the way I think it should have, then we
>  should have seen glimmers of true AGI even if those glimmers did 
> not equal strong AI. So the question is why haven't we seen that? 
> To say that a theory which cannot be demonstrated is able to 
> actually express consciousness, even glimmers of consciousness, 
> needs a lot of supporting reasoning. It might turn out to be a
> good theory but if it can't pull its own weight then it is just 
> dreaming.
> 
> You have to explain why this conjecture might be useful to us.
> 
> You said that meditating might be a form of low phi. But when a 
> person is meditating he is able to demonstrate that he is capable 
> of strong reasoning. A computer program seems to integrate and 
> differentiate data based on abstract principles. A learning
> program could then turn new learning into abstract principles which
> could be used to integrate and differentiate new data. But a
> program that did that would not have to be thinking or learning in
> a useful way. Jim Bromer
> 
> 
> On Fri, Feb 17, 2017 at 11:34 AM, Logan Streondj 
> <[email protected] <mailto:[email protected]>> wrote:
> 
> 
> 
> On 2017-02-14 04:10 PM, Jim Bromer wrote:
> 
> Well again you are talking about interesting concepts like passive
>  consciousness (or low phi - that's a great expression).
> 
> 
> Actually passive consciousness can be high phi, the phi level is 
> determined by integration, information and exclusion, not by 
> activity.
> 
> But does that actually make sense? Wouldn't passive consciousness 
> be zombie like?
> 
> 
> It would be more like alpha meditation, passive awareness. Ready to
> spring into action.
> 
> You are suggesting that there may be something in between but
> which has very limited effects.
> 
> 
> I'm not sure what you are referring to.
> 
> That is cool, but not really demonstrable with current AI concepts
>  is it? How do you show that there is dormant consciousness in an 
> AI application without awaking it?
> 
> 
> well if a program has high phi can be determined by it's structure 
> and connections. So if you have access to that information, can be 
> done in an offline setting.
> 
> It's dormancy status doesn't change it's phi level. For example it
>  could be waiting for an interrupt or a packet to process.
> 
> Or if it is a process loaded into RAM that is sharing CPU 
> resources, but is not currently scheduled -- from it's perspective
>  nothing is happening, unless it is being processed by the CPU.
> 
> 
> 
> Jim Bromer
> 
> 
> On Mon, Feb 13, 2017 at 7:16 PM, Logan Streondj
> <[email protected] <mailto:[email protected]>> wrote:
> 
> 
> On 2017-02-13 05:43 PM, Mike Archbold wrote:
> 
> I agree with Jim Bromer. Partly I guess it depends how Tononi 
> defines consciousness. I've studied it very generally, but not in 
> detail. Intuitively, he seems to have identified an essential 
> component but by no means everything.... Obviously our 
> consciousness is saturated in feedback, but just having a feedback
>  property does not make a computer conscious. What is a more 
> complete definition under IIT? It can't be just feedback... what I
>  have seen of IIT looks interesting.
> 
> 
> 
> 
> "it has been pointed out that the brain (and many other systems) is
> full of reentrant circuits, many of which do not seem to contribute
> to consciousness [51]. IIT offers some specific insights with
> respect to these issues. First, the need for reciprocal
> interactions within a complex is not merely an empirical
> observation, but it has theoretical validity because it is derived
> directly from the phenomenological axiom of (strong) integration.
> Second, (strong) integration is by no means the only requirement
> for consciousness, but must be complemented by information and
> exclusion. Third, for IIT it is the potential for interactions
> among the parts of a complex that matters and not the actual
> occurrence of ‘‘feed-back’’ or ‘‘reentrant’’ signaling, as is
> usually assumed. As was discussed above, a complex can be 
> conscious, at least in principle, even though none of its neurons 
> may be firing, no feed-back or reentrant loop" IIT3.0
> 
> 
> Basically from my limited understanding of IIT3.0
> 
> Consciousness requires three things Information, Integration and 
> Exclusion.
> 
> Feedback satisfies integration, as the components have to be 
> interconnected.
> 
> Information implies that there are past memories which can affect 
> present actions, or that memories could be acquired to affect 
> future actions.
> 
> And Exclusion means that the consciousness has defined borders.
> 
> 
> It would seem that it may be a bit tricky with the program 
> switching that happens in a modern CPU. Though I'm fairly certain 
> that with FPGA's it would apply quite smoothly. For instance after
>  some FPGA circuits have been set up, even if they are not active,
>  they could still be passively conscious, ready for input.
> 
> It may be similar if you consider things loaded in RAM or cache as
>  passively conscious and actively conscious when processing in CPU.
>  Similarly a kernel loaded in GPU would be conscious, though I
> think there would be some question as to the quality of
> consciousness, whether it might be highly modular, and thus of a
> low phi. IF however all the kernels are working together, via local
> or glboal memory, they could be considered strongly integrated, and
> would be a singular consciousness.
> 
> On 2/13/17, Steve Richfield <[email protected] 
> <mailto:[email protected]>> wrote:
> 
> Your Central Metabolic Control System (CMCS) is clearly both 
> intelligent and independent. It appears to have abilities 
> approximating a PhD Control Systems Engineer, and often works at 
> cross purposes to your conscious intentions to keep you alive and 
> healthy.
> 
> CMCS malfunctions often look a LOT like demonic possession.
> 
> Steve
> 
> On Feb 11, 2017 12:11 PM, "Dr Miles Dyson" 
> <[email protected] 
> <mailto:[email protected]>> wrote:
> 
> When I fall asleep and loose consciousness, the neurons in my
> brain do not rearrange themselves such that no feedback loops
> exist. And there are many feedback loops that exist in the brain,
> but I don't have many consciousnesses, I have but one. For both of
> those reasons consciousness and neural net feedback loops are not
> one and the same thing.
> 
> On Sat, Feb 11, 2017 at 10:04 AM, Jim Bromer <[email protected] 
> <mailto:[email protected]>> wrote:
> 
> I don't concur, but it is an interesting placement of the minimum 
> for (machine) 'consciousness'. I did not realize that 'stateless' 
> 'pure functions' could be called 'feed forward'. If global effects
>  were sufficient to induce 'consciousness' then any program with 
> global effects could be called conscious. Even assuming that you 
> were being more specific than that I still don't think structures 
> that can carry states between calls (in the ways that you were 
> thinking) would be sufficient for conscious behaviors to emerge..
> 
> Jim Bromer
> 
> On Sat, Feb 11, 2017 at 9:37 AM, Logan Streondj <[email protected]
> <mailto:[email protected]>> wrote:
> 
> I've been promoting Integrated Information Theory for a while but
> I finally sat down and read the whole thing yesterday.
> 
> Explicitly it mentions that feed forward neuronets are 'zombies'
> or unconscious while recurrent neuronets are conscious due to the 
> feedback loops.
> 
> So now I'm wondering which classical programming structures are 
> 'zombies' and which are conscious.
> 
> It would seem by analogy that stateless or pure functions are 
> zombies since they simply feed forward.
> 
> Wheras structures that carry state between calls such as objects 
> and actors are conscious.
> 
> Do you concur?
> 
> 
> 
> 
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A dream of Gaia's future.
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