Surprisingly, not much. I think everyone was busy this week. On Fri, May 29, 2015 at 7:54 PM, colin hales <[email protected]> wrote:
> > 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 > ------------------------------ > 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." > **U**nderstanding > 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: *I**GI** 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 - *t**hat 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> > <https://www.listbox.com/member/archive/rss/303/27079473-66e47b26> | > Modify > <https://www.listbox.com/member/?&;> > Your Subscription <http://www.listbox.com> > -- Regards, Mark Seveland ------------------------------------------- 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
