attofishpi wrote: ↑Wed Jan 04, 2023 8:54 am
Veritas Aequitas wrote: ↑Wed Jan 04, 2023 8:15 am
At present there are two main camps re "Is Consciousness Computable?"
The Yehs
https://en.wikipedia.org/wiki/Computati ... ry_of_mind
In philosophy of mind, the computational theory of mind (CTM), also known as computationalism, is a family of views that hold that the human mind is an information processing system and that cognition and consciousness together are a form of computation. Warren McCulloch and Walter Pitts (1943) were the first to suggest that neural activity is computational. They argued that neural computations explain cognition.[1] The theory was proposed in its modern form by Hilary Putnam in 1967, and developed by his PhD student, philosopher, and cognitive scientist Jerry Fodor in the 1960s, 1970s, and 1980s.[2][3] Despite being vigorously disputed in analytic philosophy in the 1990s due to work by Putnam himself, John Searle, and others, the view is common in modern cognitive psychology and is presumed by many theorists of evolutionary psychology.[citation needed] In the 2000s and 2010s the view has resurfaced in analytic philosophy (Scheutz 2003, Edelman 2008).
The Nays
I believe there is a possibility to prove that brain activities are computable.
Given the exponential expansion of knowledge within neurosciences, genetics, molecular biology, genomics, I am optimistic it will quite soon we can replicate human consciousness to a high fidelity in a machine or even outperform what human consciousness and awareness is capable of.
Because it is machine-based consciousness we cannot claim it is human consciousness per se.
Views?
Nay.
Scratch the back of your hand. Do you honestly think there will ever be a mathematical formula to represent that sensation?
Why must it be mathematical?
As Gödel's incompleteness theorems, whatever is grounded on mathematics, it is limited.
https://en.wikipedia.org/wiki/G%C3%B6de ... s_theorems
Nevertheless, it can be represented via a mathematic formula in some limited ways.
Rather note 'computable'
Computable functions are the basic objects of study in computability theory. Computable functions are the formalized analogue of the intuitive notion of
algorithms, in the sense that a function is computable if there exists an algorithm that can do the job of the function, i.e. given an input of the function domain it can return the corresponding output.
https://en.wikipedia.org/wiki/Computable_function
Are you familiar with the AI project re AlphaGo;
https://www.deepmind.com/research/highl ... ch/alphago
AlphaGo is the first computer program to defeat a professional human Go player, the first to defeat a Go world champion, and is arguably the strongest Go player in history.
Go is known as the most challenging classical game for artificial intelligence because of its complexity.
Despite decades of work, the strongest Go computer programs could only play at the level of human amateurs. Standard AI methods, which test all possible moves and positions using a search tree, can’t handle the sheer number of possible Go moves or evaluate the strength of each possible board position.
As simple as the rules may seem, Go is profoundly complex. There are an astonishing
10 to the power of 170 possible board configurations - more than the number of atoms in the known universe. This makes the game of Go a googol times more complex than chess.
To capture the intuitive aspect of the game, we needed a new approach.
We created AlphaGo, a computer program that combines advanced search tree with deep neural networks. These neural networks take a description of the Go board as an input and process it through a number of different network layers containing millions of neuron-like connections.
One neural network, the “policy network”, selects the next move to play. The other neural network, the “value network”, predicts the winner of the game. We introduced AlphaGo to numerous amateur games to help it develop an understanding of reasonable human play. Then we had it play against different versions of itself thousands of times,
each time learning from its mistakes.
Over time, AlphaGo improved and became increasingly stronger and better at learning and decision-making. This process is known as reinforcement learning. AlphaGo went on to defeat Go world champions in different global arenas and arguably became the greatest Go player of all time.
Note AlphaGo is computing
10 to the power of 170 possible board configurations
and can predict which all the possible ways it can win the game.
During the games where AlphaGo beat the best Go-Masters, it came up with seemingly unconventional moves no human could ever thought of; if such moves were made by humans, it would be claimed to be intuitive based on a high level of human consciousness.
But then AlphaGo the AI is made it in split seconds, thus indicating it has a relatively higher level of consciousness that the best human Go-players.
In this sense, AlphaGo is displaying computable consciousness and that was only 2016 and by now, AI is developing at a exponential rate which would put human consciousness [very limited] to shame in the near future in every aspect of humanity.