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Artificial intelligence 2.0 on blockchain

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Modern approach to #AI has grown from research of 1950s-60s and is outdated:
– No ad hoc concept creation and feature extraction without previous knowledge
– Neural networks represent just a cortex zone, not the whole brain
– Lack of multiplicity leads to noncompetitive development
– There is no reflection and cross-agent knowledge exchange

THESE PROBLEMS ARE ADDRESSED BY BLOCKCHAIN-BASED
MULTI-AGENT AI SHARING “ASSOCIATIVE MEMORY GRAPH”

Blockchain will give to multi-agent AI a way for cognitive evolution.

Presentation also covers aspects of building decentralized autonomous economies for artificially intelligent agents on Ethereum with smart contracts

Published in: Technology

Artificial intelligence 2.0 on blockchain

  1. 1. Artificial Intelligence 2.0 On Blockchain: Multi-agent Associative & Abstracting Smart-contract based Biologically-inspired Competitive and Self-evolving Dr Maxim Orlovsky, MD, PhD orlovsky@bicalabs.org
  2. 2. Enterprise Mobile Software Company Managing Partner, Founder Loyalty Program by VISA International Managing Partner Fintech Software Products CEO, Co-founder
  3. 3. ● PhD, MD ● 50+ papers, including Brain Research, Neuroscience Letters, Microscopy & Analysis ● 2004: Artificial neural network predicting pregnancy pathology by HLA genotype ● 2000: Image recognition: cell detection and quantitative fluorescence measurements on confocal microscopy images Scientific Background: Neuroscience, Machine Learning, Artificial Neural Networks Pattern Recognition
  4. 4. BICA Labs Biologically Inspired Cognitive Architectures since 2013 orlovsky@bicalabs.org http://bicalabs.org @BICALabs fb.com/BICALabs linkedin.com/company/BICA-Labs medium.com/BICA-Labs Private foundation & task force supporting disruptive technologies and radical innovations having potential to change world politics, economics and society since 2016 hello@eventhorizons.org http://eventhorizons.org @EvHorizons fb.com/EvHorizons linkedin.com/company/Event-Horizons medium.com/Event-Horizons
  5. 5. Modern approach to #AI has grown from research of 1950s-60s and is outdated ➔ Supervised Learning No ad hoc concept creation and feature extraction without previous knowledge ➔ Not a Brain A brain region can’t mimic the whole ➔ Lack of Multiplicity Leads to noncompetitive development ➔ Enclosed There is no reflection and cross- agent knowledge exchange MODERN AI IS OUTDATED
  6. 6. SUPERVISED LEARNING “I see only what I know” problem
  7. 7. CONVOLUTIONAL NEURONETS REPRESENT JUST A CORTEX ZONE, NOT THE BRAIN
  8. 8. EVOLUTIONARY EVOLVEMENT HAPPENS WHEN SELECTION ACTS ON A DIVERGING POPULATION WHILE MODERN NEURONETS ARE SINGULAR
  9. 9. INFORMATION TRANSFER: ● species exchanges genes via viruses ● cells emit chemical and electric signals ● animals communicate via mimics and emotions ● humans — via language WHAT ABOUT #AI?
  10. 10. SELF-REFLECTION IS THE OTHER SIDE OF COMMUNICATIONS CAN #AI REFLECT ITSELF?
  11. 11. THESE PROBLEMS ARE ADDRESSED BY BLOCKCHAIN-BASED MULTI-AGENT AI SHARING “ASSOCIATIVE MEMORY GRAPH”
  12. 12. MULTI-AGENT Multiple artificially-intelligent systems (like neural networks) sharing the same internal structure
  13. 13. DIVERGING Agents adapt to the information given by adjusting internal parameters (like weights etc) with some “noise salt”
  14. 14. BLOCKCHAIN OF ABSTRACTIONS AND ASSOCIATIONS (MEMORY) Agents share results of their cognition as symbols (abstractions) and their associations into a blockchain of a “shared knowledge” and memory. Entries are signed by a “proof of cognitive work”
  15. 15. REFLECTION Abstract symbols in blockchain represent a sort of “written language” Agents can reflect upon their own cognitive work by interacting with their previous records in blockchain
  16. 16. COMPETITION AND SELECTION Agents “economically compete” by their cognitive efficiency employing internal blockchain cryptocurrency “paying” for the usage of cognitive information from each other in form of “smart contracts”
  17. 17. BLOCKCHAIN WILL GIVE TO MULTI-AGENT AI the same thing that written language gave to humans: MEANS OF COGNITIVE EVOLUTION https://medium.com/bica-labs/how-blockchain-relates-to-artificial-intelligence-f0111f39afc9
  18. 18. INFORMATION TRANSFER REQUIRES CONSENSUS AND PERSISTENCE
  19. 19. CONSENSUS: each agent gets the same sense of a signal as others – DNA translation will be the same for bacteria as for a human being – written text is understood in the same way by all native speakers https://medium.com/bica-labs/how-blockchain-relates-to-artificial-intelligence-f0111f39afc9
  20. 20. PERSISTENCE: the sense of the signal does not diminish with time – DNA in chromosomes do not change during the live of the most cells – Egyptian hieroglyphs could still be understood by researchers
  21. 21. BLOCKCHAIN IS PERFECT BOTH FOR CONSENSUS AND PERSISTENCE RENDERING MULTI-AGENT #AI AS AN EVOLVING SELF-ORGANIZED SYSTEM
  22. 22. BLOCKCHAIN INNOVATIONS REQUIRED:
  23. 23. FROM PROOF OF WORK TO PROOF OF COGNITION
  24. 24. FROM MINING EMISSION TO GROSS PRODUCT EMISSION
  25. 25. FROM DAO TO DECENTRALIZED AUTONOMOUS ECONOMIES
  26. 26. COGNITIVE MESH & #DAE BY BICA LABS AND EVENT HORIZONS CURRENT STAGE: – DEVELOPING SPECS AND TECH PROTOTYPES – SOON: INITIAL PUBLIC OFFERING ON ETHEREUM http://cognitivemesh.com
  27. 27. BICA Labs Biologically Inspired Cognitive Architectures orlovsky@bicalabs.org http://bicalabs.org @BICALabs fb.com/BICALabs linkedin.com/company/BICA-Labs medium.com/BICA-Labs Private foundation & task force supporting disruptive technologies and radical innovations having potential to change world politics, economics and society hello@eventhorizons.org http://eventhorizons.org @EvHorizons fb.com/EvHorizons linkedin.com/company/Event-Horizons medium.com/Event-Horizons

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