The document discusses a new approach to artificial intelligence called Artificial Intelligence 2.0 that is multi-agent, associative, abstracting, smart-contract based, and biologically-inspired. It argues that modern AI is outdated as it lacks multiplicity, enclosure, and the ability to evolve. The document proposes that a blockchain-based multi-agent AI that shares an "associative memory graph" can address these issues by allowing the agents to diverge, reflect on past work, and economically compete through smart contracts. This approach could give AI the same cognitive evolutionary abilities that written language provided for humans.

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. Enterprise Mobile Software Company
Managing Partner, Founder
Loyalty Program by VISA International
Managing Partner
Fintech Software Products
CEO, Co-founder

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. 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. 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research of 1950s-60s and is outdated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OUTDATED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. SUPERVISED
LEARNING
“I see only what I know” problem

7. CONVOLUTIONAL
NEURONETS
REPRESENT
JUST A CORTEX ZONE,
NOT THE BRAIN

8. EVOLUTIONARY EVOLVEMENT
HAPPENS WHEN
SELECTION ACTS ON A
DIVERGING POPULATION
WHILE
MODERN NEURONETS
ARE SINGULAR

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. SELF-REFLECTION
IS THE OTHER SIDE OF
COMMUNICATIONS
CAN #AI
REFLECT
ITSELF?

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

12. MULTI-AGENT
Multiple artificially-intelligent
systems
(like neural networks)
sharing the same internal
structure

13. DIVERGING
Agents adapt to the
information given by adjusting
internal parameters
(like weights etc) with some
“noise salt”

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. 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. 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. 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. INFORMATION TRANSFER
REQUIRES
CONSENSUS AND
PERSISTENCE

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. 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. BLOCKCHAIN
IS PERFECT BOTH FOR
CONSENSUS AND
PERSISTENCE
RENDERING MULTI-AGENT #AI AS AN
EVOLVING SELF-ORGANIZED SYSTEM

22. BLOCKCHAIN
INNOVATIONS REQUIRED:

23. FROM
PROOF OF WORK
TO
PROOF OF COGNITION

24. FROM
MINING EMISSION
TO
GROSS PRODUCT
EMISSION

25. FROM
DAO
TO
DECENTRALIZED
AUTONOMOUS
ECONOMIES

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. 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