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Matvey Ezhov

PLoS Computational Biology: Qualia: The Geometry of Integrated Information - 1 views

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    According to the integrated information theory, the quantity of consciousness is the amount of integrated information generated by a complex of elements, and the quality of experience is specified by the informational relationships it generates. This paper outlines a framework for characterizing the informational relationships generated by such systems. Qualia space (Q) is a space having an axis for each possible state (activity pattern) of a complex. Within Q, each submechanism specifies a point corresponding to a repertoire of system states. Arrows between repertoires in Q define informational relationships. Together, these arrows specify a quale-a shape that completely and univocally characterizes the quality of a conscious experience. Φ- the height of this shape-is the quantity of consciousness associated with the experience. Entanglement measures how irreducible informational relationships are to their component relationships, specifying concepts and modes. Several corollaries follow from these premises. The quale is determined by both the mechanism and state of the system. Thus, two different systems having identical activity patterns may generate different qualia. Conversely, the same quale may be generated by two systems that differ in both activity and connectivity. Both active and inactive elements specify a quale, but elements that are inactivated do not. Also, the activation of an element affects experience by changing the shape of the quale. The subdivision of experience into modalities and submodalities corresponds to subshapes in Q. In principle, different aspects of experience may be classified as different shapes in Q, and the similarity between experiences reduces to similarities between shapes. Finally, specific qualities, such as the "redness" of red, while generated by a local mechanism, cannot be reduced to it, but require considering the entire quale. Ultimately, the present framework may offer a principled way for translating quali
mikhail-miguel

Q-Chat - Q-Chat is Quizlet's Artificial Intelligence used to help make learning fun and... - 0 views

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    Q-Chat: Q-Chat is Quizlet's Artificial Intelligence used to help make learning fun and easy with more than just flashcards (quizlet.com).
mikhail-miguel

AskAI - Build your own Artificial Intelligence Q&A, with any content in minutes, with n... - 0 views

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    AskAI: Build your own Artificial Intelligence Q&A, with any content in minutes, with no-code, then share it anywhere (no-code-ai-model-builder.com).
mikhail-miguel

Gengis Khan - Historical Q&A with Ghengis Khan via chat (messengerx.io). - 0 views

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    Gengis Khan: Historical Q&A with Ghengis Khan via chat (messengerx.io).
mikhail-miguel

GitBook Artificial Intelligence - Improves team knowledge sharing with fast Q&A solutio... - 0 views

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    GitBook Artificial Intelligence: Improves team knowledge sharing with fast Q&A solution (gitbook.com).
mikhail-miguel

Satoshi Nakamoto - Bitcoin Q&A chatbot for Satoshi Nakamoto queries (messengerx.io). - 0 views

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    Satoshi Nakamoto: Bitcoin Q&A chatbot for Satoshi Nakamoto queries (messengerx.io).
mikhail-miguel

PrepAI - Generate Q&A sets from PDFs, DocX, or videos; edit & add questions (prepai.in). - 0 views

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    PrepAI: Generate Q&A sets from PDFs, DocX, or videos; edit & add questions (prepai.in).
mikhail-miguel

MediSearch - Analyzed healthcare Q&A with NLP (medisearch.io). - 0 views

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    MediSearch: Analyzed healthcare Q&A with NLP (medisearch.io).
mikhail-miguel

DocuAsk - Analyzed and aligned documents using Q&A platform (docu-ask.com). - 0 views

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    DocuAsk: Analyzed and aligned documents using Q&A platform (docu-ask.com).
thinkahol *

A: This Computer Could Defeat You at 'Jeopardy!' Q: What is Watson? - 0 views

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    From: PBSNewsHour | February 14, 2011  | 1,877 viewsRead the transcript: http://to.pbs.org/enCpW3NewsHour Science correspondent Miles O'Brien goes head-to-circuit board with IBM's computer Watson on the game show "Jeopardy!" to explore the limits of language and artificial intelligence for machines.
Matvey Ezhov

Recursive Self-Improvement - The Transhumanist Wiki - 2 views

  • True Artificial Intelligence would bypass problems of biological complexity and ethics, growing up on a substrate ideal for initiating Recursive Self-Improvement. (fully reprogrammable, ultrafast, the AI's "natural habitat".) This Artificial Intelligence would be based upon: 1) our current understanding of the central algorithms of intelligence, 2) our current knowledge of the brain, obtained through high-resolution fMRI and delicate Cognitive Science experiments, and 3) the kind of computing hardware available to AI designers.
  • Humans cannot conduct any of these enhancements to ourselves; the inherent structure of our biology and the limited level of our current technology makes this impossible.
  • Recursive Self-Improvement is the ability of a mind to genuinely improve its own intelligence. This might be accomplished through a variety of means; speeding up one's own hardware, redesigning one's own cognitive architecture for optimal intelligence, adding new components into one's own hardware, custom-designing specialized modules for recurrent tasks, and so on.
  • ...2 more annotations...
  • Unfortunately, the neurological structures corresponding to human intelligence are likely to be highly intricate, delicate, and biologically very complex (unnecessarily so; evolution exhibits no foresight, and most of the brain evolved in the absence of human General Intelligence).
  • 2) advances in Cognitive Science that indicate the complexity of certain brain areas is largely extraneous to intelligence,
    • Matvey Ezhov
       
      Очень серьезно допущение, которое может быть ошибочно. Нам известно, что все зоны кортекса участвуют в формировании модели мира индивида, а значит и сознания.
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