I have (mostly) extricated myself from family matters. This IGI paper and the 
IGI itself are now top priority. I look forward to seeing what has happened in 
the last week.

Cheers
Colin Hales 

-----Original Message-----
From: "Dorian Aur" <[email protected]>
Sent: ‎27/‎05/‎2015 4:47 AM
To: "AGI" <[email protected]>
Subject: Re: [agi] H-AGI towards S-AGI

Colin et al,


That's a good introduction to consciousness, we need a  more direct/ practical 
approach to AGI - the hybrid system can be the fastest and less expensive 
approach to AGI and anyone from computer science, electronics, nanotechnology 
to neuroscience can contribute.
4         The  hybrid approach to AGI


The origins of the entire problem started a few decades ago when by mistake  
action potentials were approximated by stereotyped digital events. As a result 
many scientists were encouraged to imagine that  brain computations can be 
thoroughly  simulated and mapped on digital computers using connectionist 
models. It became a mob opinion and in spite of  recent   refutation, this 
flawed view  continued to be sustained and  all brain initiatives  followed  
this  vision. "Don’t be trapped by dogma, which is living the results of other 
people’s thinking for six decades." Understanding the brain language and the 
development of AI techniques are highly  co-dependent.To understand the main 
problem we can start with two relevant examples of algorithmic development.
 
a. The simulation on digital computers can faithfully reproduce the 
characteristics of the flight
b. “Realistic” models of  neurons (e.g. Hodgkin-Huxley) simulated  on a digital 
computer do not succeed to display or generate  intelligent behavior
 
This gap between (a) and (b) can be easily explained. In the first case the 
simulation on a digital computer is successful since the model is able  to 
realistically  include the physics of flight.
 In the second case biological structure  uses molecular/quantum computations 
to integrate meaningful information .  Such biophysics responsible for 
intelligent behavior is not included in current models ( e.g. . Hodgkin-Huxley) 
neither in any AGI attempts.   Since  molecular/quantum computations  can be 
hardly reproduced  on digital computers replicating these computation using any 
algorithmic approach  is far more difficult.We already know that wiring 
together a set of non AGI  systems may never generate AGI.
 
What is the solution?  We know that the loss of natural biophysics leads to 
issues in case of  the second model . Clearly, to solve the problem one needs 
to find a way to include the full model of computation generated within 
biological structure .
 
Having built  a system that evolves in a similar way our brains do will solve 
the problem  and  guarantee that the resulting “computing machine” will be able 
to integrate meaningful information.At least two phases are needed  to 
construct a mind using biological building blocks
A.The first phase will require growing a biological structure either from 
natural stem cells or from induced pluripotent cells. Providing nutrients, 
oxygen and environmental interaction is needed to shape the structure and 
control spatial organization of cells .
B.  The second phase will create a virtual world in which the evolving 
biostructure can be trained to learn and experience live scenes following a 
specific gradual program. It is likely that after training the hybrid system 
will be able to mimic human behavior in the ‘real’ world.


The first phase will require developing a system and technology to grow a 
biological structure. The entire development will be regulated using a computer 
interface  equipped with microcontrollers and different nanosensors. The 
digital computer will obtain real-time information regarding the state of the 
evolving structure and detect the need of neurotrophic factors, nutrients and 
oxygen. This phase will allow biological building blocks  to self-assemble and 
organize into discrete, interdependent domains.  Different ways to deliver 
nutrients, oxygen, and achieve spatial and temporal control of living tissue by 
manipulating molecular and genetic technology can be explored (Delcea et al., 
2011; Lewandowski, et al., 2013; Takebe et al., 2013; Deisseroth and Schnitzer, 
2013; Wickner and Schekman, 2005). Dielectrophoretic actuation will be used for 
cell manipulation to shape the evolving 3D structure (Pethig et al., 2010; 
Reyes, 2013; Velugotla et al., 2012). In addition, carbon nanotubes will 
provide the physical support for development. They can be used to create 
conductive structures to perform bidirectional communication between the 
evolving biostructure and computers. This will allow monitoring the evolution 
of neurons, glial cells, ... delivering neurotrophic factors and engineering 
all structures.  
The second phase will require  to build bidirectional communication between the 
evolving brain and the computer to create a virtual world and enhance learning. 
One can read and interpret the information processed in the evolving structure 
by using data recorded from different nanosensors. Using  computer technology  
a virtual world will be able to  provide accelerated training. Substitutional 
reality will enhance learning, the evolving brain will be able to mimic human 
behavior in the real world. The entire model can be schematically 
conceptualized as an interactive training system that shapes the development of 
biological structure  based on natural language and visual information


This hybrid approach is  a direct path to generate  general intelligence.   One 
can shape and "program" a biological structure and  connect it with digital 
computers to develop human  like intelligence. In addition to algorithms that 
run on  digital computers one can use biological building blocks to build a 
full model of computation.  Building such system   will represent  the first 
step in reliably  solving natural language processing tasks. They  are  “hard 
problems” for any  algorithmic  design.The hybrid system will be a new tool for 
discovery, far more powerful than any digital system alone. H-AGI  can be seen 
as a transitional step required to understand  which parts can be fully 
replicated in a synthetic form to  build a more powerful computing  system.




Note: IGI is  a game-changing strategy   -  brings together AI, AGI, 
neuroscience, nanotechnology to design/build  a full model of computation.  We 
need someone like Steve Jobs - that will make all the difference for IGI. 


 I tried to keep it simple, please feel free to correct, add....



Dorian

 
PS. "And most important, have the courage to follow your heart and 
intuition..... Don’t be trapped by dogma"




On Mon, May 25, 2015 at 4:56 PM, Colin Hales <[email protected]> wrote:

Dorian et. al.


Installment #2 of my stab at a paper.
It is section 5 in the original docx. This is a section on the synthetic 
approach and the science of consciousness .... again with a slant on AGI 
investment.


Section 4 is next and is where I'll need Dorian's contribution for the organic 
synthetic AGI program example.
I have put in a section for references although only a few have been put in as 
yet.
I suggest an acknowledgement section. 


Because of my personal circumstances meaning I can't spend time in discussion 
until next week, if I could continue my 'seagull' depositing technique it would 
be greatly appreciated.
===================================
5         Machine consciousness and the synthetic AGI approach
Synthetic AGI, whatever the chosen hybridization level, cannot divorce itself 
from dealing with consciousness. Indeed, in introducing synthetic approaches to 
AGI such as those described above, it becomes quite clear that the discipline 
of AGI itself and the science of consciousness are deeply connected. We find 
ourselves faced with the realization that the science of consciousness and the 
AGI program may actually be regarded, eventually, as the same thing. It seems 
worth acknowledging the possibility that the explicit recognition of that state 
of affairs is actually central to the proposed changes in AGI approach.
 
To see this confronting possibility we can use the established vocabulary of 
the youthful science of consciousness (Hales, 2014). In the most general sense 
that can be used in a science context, the word consciousness refers to the 
first-person-perspective (1PP) of anything. We can consider consciousness of X 
to be ‘what it is like to be X from the first person perspective of being X’. 
To scientifically study consciousness is to construct some kind of account 
predictive of the 1PP of some part of the natural world. We need have no theory 
of consciousness to speak of it this way. Nor need we attribute any 
relationship between consciousness-as-the-1PP and any behaviour or memory or 
any other state of affairs. We need not presuppose any particular chunk of the 
natural world to speak of consciousness this way. It is a completely general 
concept. It is one of the few concrete positions that the science of 
consciousness has been able to formulate.
 
Consider ‘being’ a rock. What might the scientific statement of the 
consciousness, the 1PP, of a rock be? Rocks cannot behave. Yet we have to admit 
that from the perspective of being the rock there may be a 1st person 
perspective of some kind. It may be an experience of ‘happy’ or ‘cold’ or 
something more sophisticated. For example there may be a visual scene, from the 
point of view of being the rock, of everything surrounding the rock. If we had 
a science of consciousness and we were able to claim, scientifically, that ‘it 
is not like anything from the 1PP of a rock’ and that claim was to be 
scientifically accepted, what would that scientific statement look like? The 
answer to this riddle is that currently we do not know. What we can 
demonstrate, however, is that central to the synthetic AGI science program is 
the potential to be able to say something about consciousness – the 1PP – in a 
way that was previously impossible. That is why we have to accept, from its 
inception, that synthetic AGI and the matter of the science of consciousness 
are deeply enmeshed.
 
This can be a difficult mental leap to make for some investigators. To help, 
consider the 1PP of a bacterium, worm, mouse, dog, computer, a neuromorphic 
chipset, tree, rock, human. Of all these things the only thing we know for sure 
is that ‘it is like something’ to be that part of the natural world called a 
human or, better, to ‘be a human brain’. It is also one of the few proved facts 
of the science of consciousness that whatever the physics involved in the 
generation of a 1PP, it is contained within human brain tissue only and no 
other part of the human. This knowledge of the existence of a 1PP is accepted 
despite us being unable to scientifically prove it to each other. This is 
because we cannot observe observations (the mental experiential life of another 
human) themselves. The science of consciousness is a scientific account of how 
we observe at all – in the first place. All we can actually observe with 
consciousness is brain material delivering consciousness - an act of 
observation - to the brain itself, from the 1PP.
 
Some deny consciousness exists at all (Dennett, 1991). Some accept 
consciousness as real but irrelevant to intelligence and cognition. We are 
forced here to accept that there is something to explain, not because any 
particular position is right or wron

[The entire original message is not included.]


-------------------------------------------
AGI
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657
Powered by Listbox: http://www.listbox.com

Reply via email to