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# The Amazing Journey of

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Nguyễn Gia Hào

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Images or other third-party material in this book are covered under the Creative Commons Book License unless otherwise noted in the credit line for the material. Millions of years of evolution of our species are represented in a few square meters - an arboreal past with nurturing, spoken language in the savannah and finally digital communication.1.

## Acknowledgements

Soon after, Tommaso Morselli (the first person to read the final version of the book) in Bologna was a great companion to drink wine in the city's osterias while talking about the book. In addition to the commentary, Jo Macdonald also provided the translation for most of the book.

Life, Energy and Information

What Is Life?

## The Decay Towards Equilibrium

Similarly, if living systems do not absorb energy, they decay to equilibrium in that all of their molecules tend to occupy the most likely macrostate, which is the one with all molecules dispersed, such as those in the gas. With some effort, we can move the balls from one side and put them on the other, leaving us in an unbalanced state.

## Energy Extraction Requires Information

Therefore, when we have information about a system, we can extract energy from it. If we want to extract wealth from the stock market, we must study it.

## Defining Information

If we want to extract energy from a liter of fuel, we need to know the laws of thermodynamics so that we can build an engine. They use this information to extract energy from the environment and maintain themselves in a state far from equilibrium.

## Information Storage Requires Energy

More formally, we can say that if the system can be in N possible states, with an associated probability pi and a frequency qi, our uncertainty S about the system is. To preserve the information, we must put the system in a macrostate with low probability.5 If we use as a means of communication a box with 10 balls and 9 walls, it would be unwise to give a meaning to the state where all the balls are equally distributed: the system would often break down, if not controlled, in this state.

## Storing Information

Therefore, part of the information is in the nodes of the network, part in the network itself. The mechanization process in the brain's network occurs by connecting nodes: “Paths of connected neurons, not individual neurons, convey information.

From the Big Bang to Living Cells

## Intelligent Systems

They have internal adaptation mechanisms and manage to absorb sufficient energy from the external environment to maintain their internal structure and grow. Being intelligent means knowing how to extract energy from the environment to remain self-sustaining and self-organizing.

## Ex-Nihilo Energy and Information

As the temperature of the universe drops, asymmetry appears in the form of new forces. To have information is to have energy, and it is the spontaneous creation of information that represents the basis for the emergence of matter in the origin of the universe.

## The Emergence of Complexity

The appearance of the Pareto distribution in this case has nothing to do with the process of information storage - it is a "cosmic coincidence" (Watson et al. 2011). The brilliance of the B2FH model is that it not only explains what we observe in the universe.

## Life Without Selection

Along with this, internal organization - complexity - will appear.6 The organization represents an asset for the company - is what allows the exploitation of the market - but also a burden - it requires energy in the form of cash. This is Herbert Simon's definition of complexity – the whole is greater than the sum of its parts.

## Amino Acids – The Entrepreneurs of Life

In 1952, for the first time, mankind produced synthetic amino acids in the Miller-Urey experiment. In the first case the proteins can move and interact, in the second they are immobile.

## The Secret of Life

Like a magnet that attracts other magnets to stick together, this section helps the two tails interact and form a larger protein - this is the enzymatic process. While remaining in the realm of speculation - there is still no widely accepted paradigm for the origin of life - according to Dyson, RNA can at this point form (as there are enzymes) and reproduce (the RNA can produce its own reproductive enzyme, the ribozyme).

## Evolution Through Learning

And so, very slowly over millions of years, protein-based life learned to make use of the capacity for exact replication provided by the chemical structure of RNA. How can two cells with exactly the same DNA become part of such different parts of the body as the gut and the brain.

## Artificial Neural Networks and DNA

In practice, Hopfield networks are defined by the weights of the relationships between the neurons. The energy of a neuron is the sum of the weights for its state of excitation (0 or 1).

Collaboration and Eukaryotes

## The Importance of Scientific Revolutions

It is the same mechanism Margulis (1997) described for the evolution of cells, and can be applied to her own work. According to the English naturalist, hospitals and health services were the cause of the decline of our species: “We.

From Complex Organisms to Societies

## Intelligence Needs Energy

Syntax has to do with the structure of the message, it is the substrate on which we place a message, but has nothing to do with its value. It seems obvious, but while it is relatively easy for one brain to change its mind, it is not so easy for a network of brains to do the same.

## Sleep, Death and Reproduction

Evolving, on the other hand, means updating the stored information based on the changes in the environment we live in. It is the natural course of events and can be well understood in the information energy framework.

## The Limits of Unicellular Organisms

There is a legend that tells of the religious conversion of John von Neumann before he died, however refuted by the scientist's brother (Hargittai 2008). Of the initial cell population, only 10-20% will transform into long-lived, stress-resistant myxospores and survive to reproduce another day.

## From Interaction to Cognitive Processes

Each new looter increases the chance of mob looting (autocatalysis) (Buchanan 2007). Something similar happens when fake news goes viral on social networks: the logical-analytical abilities of the average user are not comparable to those of experts.

## Nervous System or the Forgotten Transition

In a seminal work called Major Transitions of Evolution, which focuses on the evolution of information processing by living organisms, John Maynard Smith and Eörs Szathmáry failed to consider the emergence of the nervous system as one of the fundamental transitions (Smith and Szathary 1995). In (Calcott and Sterelny 2011), Szathmáry himself admits this slip: "the origin of the nervous system is a forgotten transition". He also adds that they would have included the nervous system in the second edition of the book.

## First Brains and Shallow Neural Networks

Unlike the more complex nervous systems of ctenophores, it mainly uses L-glutamate as its neurotransmitter (Moroz et al. 2014), which leads us to consider the hypothesis of the origin of neuronal transmission (Achim and Arendt 2014). In other words, the first complex organisms to form may have immediately adopted a rudimentary nervous system, unlike sponges (Shen et al. 2017).

## Societies and Natural Selection

Dawkins explains the origin of life by the sudden appearance of the Replicator, which could eventually evolve through natural selection. In fact, “Hamilton's rule almost never holds” (Nowak et al. 2012).4 The most extreme form of cooperation, eusociality, would appear to be exactly what is needed to disprove Hamilton's rule.

## Insects and Intelligent Societies

However, it cannot explain the origin of life, nor the transition from single-celled organisms to complex organisms, nor the organization of the latter into societies. An intelligent system that does not implement a long-term survival strategy is not worthy of the name.

## The Social Body

Images or other third-party material in this chapter are covered under this chapter's Creative Commons license, unless otherwise noted in the credit line for the material. If the material is not covered by a Creative Commons Chapter license and your intended use is not permitted by law or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

## The Human Social Brains

And the greater the communication capacity of the elements in a network, the more information the network can store and process. Like data centers, our brain heats up due to the amount of energy consumed – something that causes problems in the design of the skull and the circuit.

## Why a More Powerful Brain?

The increasingly organized Homo societies made this genus a success, despite the atrophy of the organs. In a similar analysis, this time focused on mammals and primates, Isler and Van Schaik (2012) proved that the brain of the genus Homo, without a significant capacity for cooperation, would have already been unstable already 1.8 million years ago, when the successful Homo erectus began to colonize the entire planet.

## The Primates’ Brain

The second is the cultural absorption of the information obtained, in other words the storage of information in the same society using communication mechanisms such as imitation. In a sense, the invention of the tool by the brain is the finger pointing to the moon, but the moon is society.

## What Makes a Homo

While mammals are the organisms that have invested the most in brains to be able to communicate, and therefore store and process information in a network of organisms, Homo sapiens is the mammal par excellence: one that has pushed its ability to communicate to new limits and is still pushing those limits. We can now do this thanks to some ingenious experimental research in recent years” (Noble 2015), thanks to the discovery that.

## The Anatomy of Language

The next steps are icons, like the stone that probably held an Australopithecus africanus about three million years ago - the Makapansgat pebble. The reason why it is important that organisms can change their phenotypes in response to environmental stimuli throughout the book is that this mechanism is essential to explain the emergence of language: "the origin of human language required genetic changes in the mechanism of epigenesis in large parts of the brain".

## Agriculture and Cognitive Social Networks

In practice, the advantage of hunting and gathering is that, since it is sustainable, it requires less effort than agriculture - the former does not require labor to transform the environment, the latter on the other hand. After the Homo system had occupied all the available space - the planet - it was forced to stop expanding and had to find a balance.

## Empires and Networks

But looking at the "stars in the sky" and imagining their origin, as Immanuel Kant did, is less so. Both players know in advance the consequences of the respondent accepting or rejecting the offer. https://en.wikipedia.org/wiki/Ultimatum_game).

## The Expensive-Class Hypothesis

The Human Meta-Organism

The Evolution of Communication in Homo sapiens

## More Communicans than Sapiens

But as mentioned in the previous chapter, it is a significant investment for a mammal to keep its brain functioning. At present our most dangerous pet is electricity - in the telegraph, the street lamp and the telephone.

## Communications Technologies and Topologies

3 is nothing special in terms of amplitude of the communication bandwidth between neurons, or number of nodes. 4 The telegraph can be thought of in topological terms as a network similar to that of the brain, but in terms of physical connections it is different, and this has made development difficult: as a.

## Internet Companies

But it wasn't just PageRank that made Google one of the most successful companies in the history of finance. This vocation to solve problems, to "make the world a better place", is one of the mantras of all technology start-ups, until the day they go public.

## The Evolution of Artificial Intelligence

More on Networks and Information

## Physicists Don’t Like Networking

7 In fact – Pareto's reasoning led to the introduction of the "log-normal" curve, where the factor applied to the condition is normally distributed (half of the condition has the same probability as double, one-third as triple, and a fraction as infinite). The second representation is equivalent to that used by Pareto – the cumulative distribution, but with the abscissa instead of the ordinates, and therefore uses the inverse of the Pareto index9.

Networks and Power

## The Emergence of Small-world Networks

In practice, after a century, network theory has succeeded in proving that systems consist of elements that also interact over great distances, such as nervous systems, the web, social networks, etc. It is not: even in (Albert and Barabasi 2002), meaningfully called "Statistical Mechanics of Networks", the word "entropy" is never used.

## Entropy of Networks

The microscopic description of the system is one that identifies each node with the letters A, B, C. The macroscopic description instead describes each node as "the one with two connections" - not helpful indeed.

## Barabasi-Albert small-world networks

Studies of different IQs in different communities, such as in (Herrnstein 1995), aptly titled "The Bell Curve, Intelligence, and Class Structure in American Life," can draw some strange conclusions if they ignore this simple growth process. For example, the importance of teaching in the Jewish community may have trumped size.

## Why Power Law Appears in Networks

As noted by Easley (2010), "when one sees a power law in data, the possible reasons why it is there can often be more important than the simple fact that it is there". The reason for such a division is that Pareto gives us "the best word-for-word encoding".

## Code snippet: entropy of scale-free networks

Mandelbrot (1953) proved that a function that generalizes power laws minimizes the cost (that is, the amount of bits) required to send the message with a certain level of redundancy. It seems more likely that the complexity of networks, observable from the fact that they are organized and grow as if they follow a predetermined design, is due to the fact that networks, like language, are only a support on which information is stored and the emergence of power law is the effect of storing information, done in a redundant way, but with minimal effort.

## Two Scientists Playing Roulette

There is a direct relationship between the information – or reduction of uncertainty – we have about a system and the amount of energy we can extract from that system. Shannon's information is statistical, syntactic information, but the information is not considered in the sense of reducing the uncertainty of the message (eg, about a possible winning number or a weather forecast, as in Eco 1962).

## Complexity in Numbers

Of course we have to say "actually" because we only know a few trillion of the digits in π2 anyway, which we know is only a small fraction of the actual number. Using Shannon's formula to measure the information content is misleading, or simply wrong, for two reasons.

## Networks Work

The behavior of another person is no less complex than the evolution of the weather. The solution lies in training this network of functions/neurons so that it can predict the output based on the input.

Yamakido (Eds.), The evolution of human language: Biolinguistic perspectives (approaches to the evolution of language) (pp. 1–17). Translated into Italian as "The Greatest Ape of the Pleistocene" or "Il più grande uomo scimmia del Pleistocene".

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