Ali's Journal

Systems should have two features. First, a memory mechanism that restores past incidents and second, a mechanism to foresee the future and prepare the system for that trajectory. The future trajectory should be a function of past incidents.

In physics, when a force is applied to a small area, it might cause enormous damage but if the same force is applied to a much larger area, the damage can be controlled. The foreseeing mechanism is similar.

For example, imagine the future trajectory is predicted within a reasonable error range and necessary preparation is made for that future trajectory. In that case, the instability of the system can be completely controlled. On the other hand, consider another example. Imagine the future trajectory provided by the system is very unrealistic and is totally detached from past incidents. In that case, the sudden force the system will experience (due to the lack of preparation for the realistic future trajectory) is comparable to the first physics example mentioned above.

In reality, there is no difference between a system not providing any prediction for future trajectory at all, and a system that provides an unrealistic prediction.

Symmetry with no environmental inputs is the most basic symmetry: g_0= {e}. it has one element e, which is the identity element. This means this set can never be reshaped. But when environmental factors are added g_0 turns into a more complicated group, for example, g_1={e, a}. This process can go on and on and bigger groups can be formed.

So when environmental factors are added to a political system or something, the formation of new elements and ideas and therefore the extension of the group is inevitable.

The conventional statistical mechanics consists of one layer. The new Statistical mechanics based on wave probability is structured similarly to an onion. Each layer is governed by a distinct symmetry.

UPDATE 1:

Countries are decomposed when authoritarian regimes ignore the basic rights of minorities (and in Iran’s case vast majority – the majority of the population didn’t vote and the majority of those who voted, didn’t vote for the candidate approved by the regime).

There will be no division when different races and cultures shake hands for collaboration. This platform is to link together not to divide. The borders of Iran and Iraq will be intact. This platform will form blocks.

In unpublished daily notes about the evolution mechanism I wrote a few days ago that when different structures compete with each other, the one that contains the best symmetry will win. Because that structure can be reshaped and retain its stability when encountered with things that imbalance the structure, the team’s main objective in the platform should be to design symmetries that produce flexible structures.

The same is true about evolution in nature. These two expressions are equivalent:

A) Observable mutations with beneficial effects are more likely to be passed on to the next generations.

B) systems with better symmetries are more likely to be passed on to the next generations because they can retain the stability of the system when exposed to environmental factors. So mutations that are part of better symmetries are more likely to spread.

Although two expressions are equivalent, the math language to express the second one is totally different from the first one. So by expressing the same thing in a different way the scientific path to develop that idea into a theory may change. Here, a version of group theory is required to study expression B. The first step to developing an evolution theory based on expression B is to construct a suitable math structure for this purpose.

This platform/game aims to develop such a math structure. Conventionally math structures are built from button-up, meaning that first axioms and definitions are defined and then results are deduced from them. Things are different in this game. Each team constructs a symmetry that is a part of a larger symmetry. There will be back-and-forth interactions between different elements, and the aim is to evolve the most efficient encoding systems that link those elements. This is still a vague idea, but the main point is that in this game the math structure is not a rigid concrete-like structure rather it evolves into more and more efficient structures over time. This is similar to numerical analysis where results are estimated with better and better precision.

The gaming section is still incomplete. To clarify, encryption (mentioned yesterday) is not the same as conventional encryption. The aim is to turn every lingual expression into a set of its constituent parts. In other words, an expression should turn into a type of wave and when things similar to FT are applied the peaks in FT will specify the main topics constructing that expression. For example, if an expression can be divided into two constituent parts, then there will be two peaks in FT. This is still unclear but gaming involves those waves and decoding them. The game’s main purpose, at this point, is to develop something similar to FT for this purpose.

UPDATE 1:

Because the task will become technical at some point, it should be possible for teams (in the next phases of the project) to buy and sell packages and algorithms that can be used for encoding purposes. As mentioned before, players in this phase are similar to early buyers of Bitcoin so economic activities around research-based products make sense.

UPDATE 2:

As a side note, from a psychology/sociology point of view, when people are exposed to different viewpoints about a topic, the space that is constructed in their minds will be more complicated because each viewpoint adds new base vectors. So naivety and credulity are due to not being exposed to viewpoints from different sides, the consequence is that base vectors that build their mind spaces about those topics are very limited.

The goal of this game is to develop the most efficient techniques to extract base vectors out of all types of expressions.

UPDATE 3:

Because in-game currencies will be used to buy and sell things in the game, only products that are used in the game can be traded (things such as algorithms and programming packages), however, this requires additional design considerations. For example, those tradings in the first phase can be defined as part of the mining process of the in-game crypto-currency. So the definition of mining and its mechanism should be clarified. The concept of mining here refers to the development and maintenance of the platform (conventionally mining only involves the maintenance/credibility of the network). One of the main issues in the maintenance of the platform is the ability of the community to remove malicious activities. Such mechanisms must be developed and evolved as the platform evolves.

In the next phases, this will be evolved to include mechanisms for micro-investments on small-scale businesses. This pushes the micro-investment platform toward research-based startups and tech and innovative companies.

UPDATE 4:

Each player will have an AI personal assistant. To plan better strategies and earn more, players should learn new materials. A personal assistant is necessary to make suggestions for that purpose. So this is a strategy game where players need to learn new practical, real-world skills to succeed.

It had been explained before, that each team selects a governance model. For example, a team earn some amount of money (for accomplishing a task) and based on the governance model the money will be distributed among members. The governance model may change over time and new players may take over the control of the team for some time. So there is an in-team and between-team competitions. So, playing this game enhances social skills, as well as technical skills.

UPDATE 5:

This is a brief description of the game:

Teams should build math spaces. Other teams should decode the structure of other teams’ spaces, find vulnerabilities and target them. This is a debugging process because teams should fix bugs whenever their vulnerabilities are exposed by other teams.

This is an evolutionary mechanism. Because different strategies and approaches compete with each other and try to undermine them. For example, Team A might detect some vulnerability in Team B, but let Team B build on top of that bug so when eventually Team A targets that bug, it will undermine a lot of Team B’s efforts (however Team C might detect the bug and expose it before Team A).

The objective of this game (and the crypto associated with that) is to develop a programming language. The process of building a programming language is broken down into several tasks and teams compete with each other in different tasks.

The evolution mechanism is still unclear but it is linked with the economic aspects of the project (the way the cryptocurrency works). Some amount of the crypto will be generated whenever a team accomplishes a task (evolutionary mechanism determines when a task is accomplished) and is paid to the winning team. So the economy of this crypto is different from Bitcoin for example where the amount of Bitcoins is fixed. The point here is that whenever a task is accomplished the project will be a bit better than before and that’s why some amount of the crypto will be generated. So the amount of crypto in circulation is a function of the project’s efficiency.

UPDATE 6:

I plan to contact South American countries in a few days. This is a global project. I explained it in English so that people around the world could read it.

V space is defined by base vectors (basic functions). In conventional vector spaces, basis vectors are linearly independent. This idea should be expanded to V space, meaning that functionalities of basic functions shouldn’t overlap. It was said yesterday that each base vector should do one thing only. This condition is necessary to ensure functionalities won’t overlap. However, this is not a precise condition. Conditions for base vectors should be specified. Functions get a set of inputs and produce an output based on some procedure. Procedures contained in functions specify whether functionalities of base vectors overlap or not (for example consider F_1 (x)= g(x)/h(x) = x and F_2(x)= k(x)/j(x)=x, but F_1(x) and F_2(x) may be totally different procedures, although both functions output x, so output doesn’t specify whether functionalities overlap).

For this purpose, a network of nodes will be defined. Then it is required that each base vector connects one node to another node. This means each functionality starts from some initial state or position to the final position (with no intermediary node). This condition ensures no function (or base vector) is reducible.

So now functionalities are constructed based on nodes. The next question is what those nodes are. In previous writings, complex problem-solving was discussed. Each problem should be divided into its constituent parts then the collection of solutions to those parts provides a solution to the main problem. However, it was said that this wasn’t a unique process.

In this setting, each constituent part is a node. So a complex problem might consist of many nodes. So a programmer write down the problem they try to solve. The AI system divides the problem into its constituent parts, and those parts will be the base vectors of that V space. Then if another programmer writes another problem, the AI system will try to divide that problem with existing base vectors. If new base vectors are necessary, the AI system will generate new base vectors, and this process goes on and on.

UPDATE 1:

I was advised to make it a game. Good suggestion. It’s cool to invent an encoding language and try to decode other teams’ messages. It will be an evolutionary game, the best encoding languages (methods) will be selected. So the platform provides means for this competition, players will build the encoding systems. Anyone can play this game, not only researchers, etc.

Networking is essential in this game. people should form teams. this is not a solo game.