Chapter 181 The master of art is like a king in the world

It sounds like Go and artificial intelligence are incomparable.

Why did a human-machine battle in Go ignite artificial intelligence?

This may have something to do with the mechanics of Go.

Although Go has always been considered one of the most complex board games in the world.

But the basic rules of Go are very simple.

The Go board is square and consists of 19 vertical and horizontal lines.

19╳19 forms 361 intersection points (hereinafter referred to as points), chess pieces can be placed on these points, and can be placed at any point on the sides, corners, or midsection.

When playing chess, chess pieces must be placed at the intersections of the chessboard. Once the chess pieces are placed on the chessboard, they cannot move.

Black plays first, then Black plays next, and White plays next, until the end, whichever side occupies more territory wins.

Of course, different countries have different rules on how to measure the amount of territory occupied.

Although the rules of Go are very simple, this does not prevent the game of Go from being ever-changing.

It is said that there are more possible changes in a game of Go than there are total atoms in the universe.

In this case, it is unrealistic for the computer to exhaustively calculate all possible changes in a game.

If a program wants to achieve higher efficiency, it can only make a fuss about the algorithm.

However, even using algorithms, when it comes to Go:

It is much more difficult for a computer to win at Go than at games like chess.

Because Go has so many playing points and far more branching factors than other games.

Moreover, the situation of each move is erratic.

In this case, traditional algorithms are difficult to work.

Not to mention traditional algorithms, even general artificial intelligence methods are difficult to work.

Traditional artificial intelligence methods such as brute force search, Alpha-beta pruning, and heuristic search are not very effective in Go.

Precisely because there are many difficulties at the technical level.

In the previous life, in 1997, artificial intelligence defeated top human chess players.

But when it comes to Go, artificial intelligence has been failing.

Until 18 years after beating the top players in chess.

Artificial intelligence has just defeated the ninth-level Go master from Universe Kingdom for the first time in Go.

This incident was also interpreted in previous lives as "In any single field, machines may be far ahead of humans."

Although there is no way to judge whether this statement is correct or not.

But it is undeniable that the concept of "artificial intelligence" suddenly became popular after the man-machine battle between Lee Sedol and AlphaGo.

The impact of this battle is not limited to the small circle that studies artificial intelligence.

Instead, it has aroused great discussion about artificial intelligence throughout society.

Anyway, Lin Hui remembers that in March 2016 in his previous life, news and Weibo were full of AlphaGo and artificial intelligence.

Some are discussing technology, some are looking forward to the future, and some are preparing to end their business after seeing business opportunities...

Of course, the possibility of operation behind all this noise does not rule out the possibility.

After all, as far as Lin Hui knows, Go is actually mainly circulated in East Asia and is not highly circulated around the world.

And even in places like China, island countries, and space countries, the circulation of Go is still good.

The proportion of Go enthusiasts among ordinary people is not too high.

Even if some people understand the rules a little bit, they can't explain it clearly when it comes to slightly more troublesome things such as tribulations and disputes.

Grandpa Lin Hui is a fan of Go, and he even played Duan before.

Under his influence, Lin Hui also knew a lot about Go, probably at the same level as Ye Wu.

Even so, Lin Hui never claimed to be good at Go.

After all, when facing a real professional ninth-dan player, a professional fifth player will generally lose 2 to 6 pieces.

In this case, the concept of "artificial intelligence" can become popular with the help of "Go".

It's hard to say that no one is behind this.

But these ins and outs are not what Lin Hui cares about.

Since this human-machine battle in Go in the previous life can become a breakthrough point for artificial intelligence.

Then this space-time Lin Hui can completely create a program similar to AlphaGo and find ways to promote human-machine battles.

After that, it can be properly operated to make this incident a breaking point for artificial intelligence.

Involving AlphaGo.

In its previous life, AlphaGo was launched by deepmind, a Chinese company.

Although the company deepmind also exists in this time and space.

But Lin Hui doesn’t have to worry about crashing a car or anything.

Although the birth of AlphaGo in the previous life is inextricably linked to the company DeepMind.

But the AlphaGo project was actually started after DeepMind was acquired by Google.

In short, the birth of AlphaGo in the previous life has a lot to do with the py transaction between deepmind and Google/Google.

However, in this current time and space, Google/Google and deepmind have not cooperated on this project.

And there is a high probability that there will be no chance of cooperation in the future.

Lin Hui had known about it before.

A company named deepmind does exist in this time and space.

But because of this time and space, the overall research on artificial intelligence lags behind.

Although the company DeepMind is also engaged in artificial intelligence research.

But there has been little progress.

And deepmind is not doing very well as a company.

Not long ago the company attempted to file for bankruptcy protection.

It is basically impossible for such a company to achieve the achievements of its previous life.

In this case, the overall research on spatiotemporal artificial intelligence lags behind.

If Lin Hui wants to transport AlphaGo, he basically doesn’t have to worry about the risk of a technical crash.

Although there is no risk, it is a little troublesome when it comes to moving AlphaGo.

It’s not that there’s any trouble with the technical theory.

Although people in this time and space have not yet mastered the corresponding technology.

But for Lin Hui, the technical and theoretical path is very clear.

Classic artificial intelligence applications like AlphaGo.

Basically, nine out of ten people engaged in artificial intelligence have specifically studied what AlphaGo is.

Technology involving AlphaGo:

It is nothing more than a simple application of Monte Carlo tree search combined with two deep neural networks.

Monte Carlo tree search is a heuristic search algorithm used in certain decision-making processes, most notably for use in games.

Especially common in board games.

There are two specific deep neural networks, one of which is a valuation network and the other is a chess-playing network.

The former is used to evaluate a more suitable placement point, while the chess moving network is used to adjust the best placement position.

Why use this design?

It is largely inspired by human beings playing chess.

When humans play chess, first of all, the player will use past experience and chess records to roughly judge where to play without losing money.

After narrowing the search scope, chess players will conduct detailed deductions for a certain local position.

As for the deduction, the chess players mainly think about how they will make the move and how the opponent will react after the move.

Generally speaking, good chess players should have this kind of deduction ability.

Only by taking one step and watching a dozen or even dozens of moves can you become a Go master.

As for the purpose of deduction, it is to find the most beneficial landing point for you.
To be continued...