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thinkahol *

Being No One - The MIT Press - 0 views

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    According to Thomas Metzinger, no such things as selves exist in the world: nobody ever had or was a self. All that exists are phenomenal selves, as they appear in conscious experience. The phenomenal self, however, is not a thing but an ongoing process; it is the content of a "transparent self-model." In Being No One, Metzinger, a German philosopher, draws strongly on neuroscientific research to present a representationalist and functional analysis of what a consciously experienced first-person perspective actually is. Building a bridge between the humanities and the empirical sciences of the mind, he develops new conceptual toolkits and metaphors; uses case studies of unusual states of mind such as agnosia, neglect, blindsight, and hallucinations; and offers new sets of multilevel constraints for the concept of consciousness. Metzinger's central question is: How exactly does strong, consciously experienced subjectivity emerge out of objective events in the natural world? His epistemic goal is to determine whether conscious experience, in particular the experience of being someone that results from the emergence of a phenomenal self, can be analyzed on subpersonal levels of description. He also asks if and how our Cartesian intuitions that subjective experiences as such can never be reductively explained are themselves ultimately rooted in the deeper representational structure of our conscious minds.
Matvey Ezhov

Memristor minds: The future of artificial intelligence - tech - 08 July 2009 - New Scie... - 0 views

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    Memristor minds
thinkahol *

All In The Mind - 10 October 2009 - You are not a self! Bodies, brains and the nature o... - 0 views

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    German philosopher of mind Thomas Metzinger is one of the world's top researchers on consciousness, instrumental in its renaissance as a respectable problem for scientific enquiry. From out-of-body experiences to lucid dreaming, anarchic hand syndrome to phantom limbs, his investigations have taken him to places few dare to go. Be spooked, bewildered and amazed.
thinkahol *

YouTube - Dr. Antonio Damasio on Self Comes to Mind - 0 views

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    "What Inspired You to Write Self Comes to Mind?"
Matvey Ezhov

On Biological and Digital Intelligence - 0 views

  • In essence, Hawkins argues that, to whatever extent the concept of “consciousness” can’t be boiled down to brain theory, it’s simply a bunch of hooey.
    • Matvey Ezhov
       
      Not true!
  • in which conscious experience is more foundational than physical systems or linguistic communications
  • Conscious experiences are associated with patterns, and patterns are associated with physical systems, but none of these is fully reducible to the other. 
  • ...22 more annotations...
  • He makes the correct point that roughly-human-level AI’s will have dramatically different strengths and weaknesses from human being, due to different sensors and actuators and different physical infrastructures for their cognitive dynamics.  But he doesn’t even touch the notion of self-modifying AI – the concept that once an AI gets smart enough to modify its own code, it’s likely to get exponentially smarter and smarter until it’s left us humans in the dust.
    • Matvey Ezhov
       
      Совершенно не имеет отношения к теме, подход Хокинса легко масштабируется до сверх- и сверх-сверх-сверхчеловеческого интеллекта.
  • therefore if AI closely enough emulates the human brain it won’t radically self-modify either
  • Rather, I think the problem is that the field of AI has come to focus on “narrow AI” – programs that solve particularly, narrowly-defined problems – rather than “artificial general intelligence” (AGI). 
  • cognitive science, artificial general intelligence, philosophy of mind and abstract mathematics
    • Matvey Ezhov
       
      т.о. Гортзел признается, что вообще принимает и не считает нужным принимать нейронауку в расчет, т.е. опирается только на эмпирические представления о том, как работает сознание.
  • So what we’re doing is creating commercial narrow AI programs, using the software framework that we’re building out with our AGI design in mind.
    • Matvey Ezhov
       
      и в этом его большое отличие от платформы Хокинса, которая имеет одинаковую структуру для всех ее применений
  • I tend to largely agree with his take on the brain
  • I think he oversimplifies some things fairly seriously – giving them very brief mention when they’re actually quite long and complicated stories.  And some of these omissions, in my view, are not mere “biological details” but are rather points of serious importance for his program of abstracting principles from brain science and then re-concretizing these principles in the context of digital software.
  • One point Hawkins doesn’t really cover is how a mind/brain chooses which predictions to make, from among the many possible predictions that exist.
    • Matvey Ezhov
       
      тут он вроде бы прав...
  • Hawkins proposes that there are neurons or neuronal groups that represent patterns as “tokens,” and that these tokens are then incorporated along with other neurons or neuronal groups into larger groupings representing more abstract patterns.  This seems clearly to be correct, but he doesn’t give much information on how these tokens are supposed to be formed. 
  • So, what’s wrong with Hawkins’ picture of brain function?  Nothing’s exactly wrong with it, so far as I can tell.
  • But Edelman then takes the concept one step further and talks about “neural maps” – assemblies of neuronal groups that carry out particular perception, cognition or action functions.  Neural maps, in essence, are sets of neuronal groups that host attractors of neurodynamics.  And Edelman then observes, astutely, that the dynamics of the population of neuronal groups, over time, is likely to obey a form of evolution by natural selection.
  • How fascinating if the brain also operates in this way!
    • Matvey Ezhov
       
      да нифига... слов нет
  • Hawkins argues that creativity is essentially just metaphorical thinking, generalization based on memory.  While this is true in a grand sense, it’s not a very penetrating statement.
  • Evolutionary learning is the most powerful general search mechanism known to computer science, and is also hypothesized by Edelman to underly neural intelligence.  This sort of idea, it seems to me, should be part of any synthetic approach to brain function.
  • Hawkins mentions the notion, and observes correctly that Hebbian learning in the brain is a lot subtler than the simple version that Donald Hebb laid out in the late 40’s.   But he largely portrays these variations as biological details, and then shifts focus to the hierarchical architecture of the cortex. 
  • Hawkins’ critique of AI, which in my view is overly harsh.  He dismisses work on formal logic based reasoning as irrelevant to “real intelligence.” 
  • So – to sum up – I think Hawkins’ statements about brain function are pretty much correct
  • What he omits are, for instance,   The way the brain displays evolutionary learning as a consequence of the dynamics of multiple attractors involving sets of neural clusters The way the brain may emergently give rise to probabilistic reasoning via the statistical coordination of Hebbian learning
  • Learning of predictive patterns requires an explicit or implicit search through a large space of predictive patterns; evolutionary learning provides one approach to this problem, with computer science foundations and plausible connections to brain function; again, Hawkins does not propose any concrete alternative.
  • crucial question of how far one has to abstract away from brain function, to get to something that can be re-specialized into efficient computer software.  My intuition is that this will require a higher level of abstraction than Hawkins seems to believe.  But I stress that this is a matter of intuitive judgment – neither of us really knows.
  • Of course, to interpret the Novamente design as an “abstraction from the brain” is to interpret this phrase in a fairly extreme sense – we’re abstracting general processes like probabilistic inference and evolutionary learning and general properties like hierarchical structure from the brain, rather than particular algorithms. 
    • Matvey Ezhov
       
      наконец-то он сказал это
  • Although I’m (unsurprisingly) most psyched about the Novamente approach, I think it’s also quite worthwhile to pursue AGI approaches that are closer to the brain level – there’s a large space between detailed brain simulation and Novamente, including neuron-level simulations, neural-cluster-level simulations, and so forth. 
Volucer Volucer

XMind - Social Brainstorming and Mind Mapping - 4 views

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    XMind, combined with online sharing service, provides a revolutionary way to enable both team brainstorming and personal mind mapping.
  • ...1 more comment...
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    а не заюзать ли?
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    ок, давай посмотрим
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    Ну, вы посмотрите, оцените, а уж если вам понравится, тогда я поставлю.
mikhail-miguel

Whimsical Artificial Intelligence - Whimsical offers tools like mind maps, wireframes, ... - 0 views

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    Whimsical Artificial Intelligence: Whimsical offers tools like mind maps, wireframes, flowcharts, projects, documentation, templates, embed kit, etc (whimsical.com).
mikhail-miguel

Miro Artificial Intelligence - Online whiteboard tool. Sticky notes, images, cards, cod... - 0 views

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    Miro Artificial Intelligence: Online whiteboard tool. Sticky notes, images, cards, code blocks, sequence diagrams, and mind maps (miro.com).
mikhail-miguel

ChatMind - Generate and edit mind maps in conversation with Artificial Intelligence (ch... - 0 views

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    ChatMind: Generate and edit mind maps in conversation with Artificial Intelligence (chatmind.tech).
mikhail-miguel

Several Minds - An AI-powered assessment platform that revolutionizes hiring for value-... - 0 views

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    Several Minds: An AI-powered assessment platform that revolutionizes hiring for value-based companies (severalminds.ai).
mikhail-miguel

Several Minds - An AI-powered assessment platform that revolutionizes hiring for value-... - 0 views

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    Several Minds: An AI-powered assessment platform that revolutionizes hiring for value-based companies (severalminds.ai).
mikhail-miguel

Glasp - Highlight & organize web quotes and access like-minded people's learning (glasp... - 0 views

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    Glasp: Highlight & organize web quotes and access like-minded people's learning (glasp.co).
mikhail-miguel

CoolMindMaps - Mind map creation and search (coolmindmaps.com). - 0 views

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    CoolMindMaps: Mind map creation and search (coolmindmaps.com).
mikhail-miguel

AI Health Mind - Ask a medical question and receive a clear and concise answer within j... - 0 views

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    AI Health Mind: Ask a medical question and receive a clear and concise answer within just 5 minutes, with the help of Artificial Intelligence (aihealthmind.com).
mikhail-miguel

Ogimi Artificial Intelligence - Ogimi is Your Personal Mindfulness Coach (ogimi.ai). - 0 views

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    Ogimi Artificial Intelligence: Ogimi is Your Personal Mindfulness Coach (ogimi.ai).
mikhail-miguel

ChatMind - Generate and edit mind maps in conversation with Artificial Intelligence (ch... - 0 views

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    ChatMind: Generate and edit mind maps in conversation with Artificial Intelligence (chatmind.tech).
thinkahol *

Building Gods | Watch Free Documentary Online - 0 views

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    This film by Ken Gumbs tackles the issue of pending greater-than-human artificial intelligence and the possible ramifications. Different individuals with different backgrounds are interviewed on the subject, including a theologian, a philosopher, a brain builder and a cyborg. A wide spectrum of topics are discussed, including trans-humanism, mind-machine mergers, uploading, and artificial super-intelligence.
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