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EnT 2021
Artificial Intelligence as a post-stage of Natural Intelligence
Yuri.М. Baturin,Corresponding member of RAS
International Workshop on Engineering Technologies and Computer Science
S.I. Vavilov Institute for History of Science and Technology
TRINITY AS A FIRST STEP TOWARDS AI• Task of creation of artificial intellect on
ubiquitous binary computers in the world where information coding is performed by two signs is hopeless
• Binary notation:
{0, 1} {«есть», «нет»}
• Тernary notion:
{0, 1, 2}
or in a symmetric form
{-1, 0, +1}
COMPUTER «SЕТUN»
• Development 1956-1959 (superviser N.P. Brusentsov)
• Series (50 units) 1970
ADVANTAGES OF TRINITY
• Trinary algorithms work faster.
• The error accumulation process is slower.
• Multiple signal levels provide an opportunity to increase information processing intensity without increasing the number of elements .
• Moore's Law (every 24 months the number of transistors in a processor chip approximately doubles) has its limits.
FIRST STAGE – TERNARY LOGIC
• AI needs to be developed not on binary computers, but on devices that use multivalued or even fuzzy logic.
• Opportunity to increase the intensity of information processing without increasing the number of elements
• It is a possible way to create artificial intelligence.
• Moving from two-digit logic to multi-digit
• First stage – ternary logic.
BLOCKCHAIN TO BACK UP THINKING
• ’Blockchain' is a technology for secure distributed storage, accounting and administration of discrete data without a centralised entity controlling the database
• The chain of blocks of data is expressed in digital form on ternary computers
• The blocks are recorded in a linear, chronological order.
INDIVIDUAL THOUGHT CHAIN
• Problem of recovering memory (lost in amnesia for example)
• Blockchain-mechanism of records of a person's thought process as a pattern
• Everything that is recorded in memory could be copied into a discrete archive, into a person's personal file
• Task of creating a new type of records - individual thought chains (personal distributed thought logs)
BRAINMAPPING
СONNECTOM
• Theoretically, a complete description of all the neurons in the brain and the nature of the connections between them should give a fairly accurate characterisation of a person's essence, his personality
• Such a hypothetical map of neurons and their connections is called a "connectome"
• With the technique, increasingly accurate Cartesian maps of neuronal activation of the brain are created
IN WHAT COORDINATE SYSTEM?
• Cartesian maps activation
of neurons of the brain
• The space of thinking is non-Euclidean
• Thought is discontinuous, abrupt, associative, hierarchical
• We need a different coordinate system
TREE-LIKE COORDINATE SYSTEM
• Вranches of trees appear as coordinates of the thinking space
• Arbitrary number of branches can come from each branch point.
p-ADIC NUMBERS
• p-Adic numbers were introduced
in mathematics in 1897 by the
German mathematician
Kurt Hensel
• Set of p-Adic numbers can be
represented as a tree with
a branching into p parts at
each vertex
p-ADIC NUMBERS AND TREE-LIKE COORDINATE SYSTEM
• If p is a prime number, then the operations of addition, subtraction, multiplication (under some additional conditions – and division)are developed for such trees
• Differential and integral calculus are developed on such trees
• A tree coordinate system is heterogeneous, but hierarchically ordered: root, trunk, branches, offshoots, leaves.
• The root of the tree occupies the highest position in the hierarchy
1) To create AI, the blockchain schema would have to be substantially redesigned 2) It will need to move from a Cartesian to a tree-like coordinate system, from real numbers to p-Adic numbers, and from binary computers to ternary computers to begin with 3) Finally, we will have to move from ternary logic to multivalued or fuzzy logics 4) Only by solving the whole set of problems we will be able to talk about creating AI 5) The task is very complicated We must start just now
THANKS ALL!