UserWiki:DragonRed

8Values
Equality 89.7 /10.3 % Markets (Socialism)

Nationalism 33.3% / 67.7 % Peacuful (Peacuful)

Liberty %50 / 50% Authority (Moderate) m Tradition % 14.5 / 85.6% Progress (Very Progressive)

Ideology:



Marxism

9 axes

Federalism 38% / 62% Unitarism (Moderate Unitary)

Democracy 64% / 46% Authority (Neutral)

Globalism 50% / 50% Isolationism (Neutral)

Militarism 22% / 78% Pacifism (Pacifist)

Assimulationist %62 / 38% Multiculturalist (Moderate Assimulationist)

Security 66% / 44% Liberty (Moderate Security)

Equality 90% / 10% Markets (Radical Equality)

Secular 78% / 22% Religious (Secular)

Progress 86% / 14% Tradition (Extreme Progressive)

Ideology: Closest Match:



Democratic Socialism

DOZEN VALUES

Equality 73.1% / 26.9 % Property (Collective)

Coordination 73.1% / 26.9% Commerce (Regulated)

Dominion 61.5 % / 38.5% Anarchy (Unifield)

Permisison 38.5% / 61.5% Restriction (Restrictive)

Inclusivity 46.2 % / 53.8% Supremacy (Normative)

Heritage 11.5% / 88.5 % Novelty (Progressive)

Ideology:

Leninism

12 Axes

Federalism 30.0% / 70.0% Unitarism ( Unitarism)

Democracy 50.0% / 50.0% Authority (Centrist)

Security 58.0% / 42.0% Liberty ( Centrist)

Internationalism 54.0% / 46.0% Nationalism (Non-Intrusive)

Militarism 18.0% / 82.0% Pacifism (Non-Aggressive) (Pacifist)

Assimilationism 66.0% / 34.0% Multiculturalist ( Assimilationist)

Collectivize 86.0% / 14.0% Privatize (Socialist)

Planned 70.0% / 30% Laissez-Faire (Regulationism)

Protectionism 54.0% / 46.0% Globalism (Moderate)

Irreligious 92.0% / 8.0% Religious (Antiteist)

Progress 70.0% / 30.0% Tradition (Progressive)

Technology 78.0% / 22.0% Bio-conservative (Technological)

Ideology:

Democratic Socialism

Sapply Values Test

Left/Right Axis (x) = -7.33 Auth/Lib Axis (y) = 4.67 Prog/Con Axis (z) =0

What will the expropriation be like?
The state imposes strict competition rules before moving to the production line. The process begins with the separation of foreign centralized enterprises and domestic enterprises. While state enterprises do not pay to obtain their own resources; buys with money from privatization. He pays taxes and works through them. State competition is the sole price determinant. When the state enters the production line; Millions of jobs will be created. All production factories to be established will form business lines. All stages are well planned in advance. Labor is important. Citizens' rights are guaranteed by the state. Every employee has a definition. Except for the definition of O, no front-end work is given. In this case, citizens will not want to work in the private sector where they cannot get their rights. Scattered and competing private businesses; State companies are in unity and solidarity. The private sector, which has lost its human resources, will have two options. Either employees should be given the same rights as state enterprises or they should be expropriated in the transition period. Otherwise, when the transition to a socialist economy is achieved, state support will not be provided in the collapse of the private sector. However, in the transition phase, the private sector can certainly use its right of expropriation.

How does trade work under socialism?
When the private sector completely nationalizes it, the principle of Statism comes into play. The principle of statism, micro-enterprises, is the way of realizing the ideas of citizens that they produce with the power of the state. To briefly explain micro enterprises; He doesn't want to be alone. It is a way of generating ideas for citizens for whom the state, production or economic power is insufficient. For the citizen who has the idea of ​​production but does not have economic power, he becomes a micro-business owner in a socialist state. The state grants the right to operate nationally the means of production it owns. Businesses are state owned. All rights of enterprises in the foreign market are protected by the state. Micro-enterprises whose citizens convey their ideas; nationalized whole production line consists of state enterprises With whom will the competition and quality criteria be made? This is where the biggest gain comes into play. Today, the quality understanding of the private sector, whose markets compete with each other, is limited to the goods in the domestic market. In the production line of the state, it is now in competition with the entire foreign market. The competition is no longer between state enterprises and the private sector, that is, against capitalism in the foreign market, not in its own domestic market. While foreign investors do not participate in state enterprises, micro enterprises receive investment and expand abroad. Thus, a market research is conducted for each state and the economic strategies planned separately for each state are implemented. For example, the food market is profitable for State A. In this case, macro businesses, not micro, attack that market. But the state B food market is unprofitable. That's when micro-businesses attack the market. State resource extraction; The operation and production of the goods to be exported is carried out only within the national borders. Foreign and private sector are not included in the production line. Foreign partnerships in the production line are terminated and foreign countries are pushed to the position of customers only. Thus, there is no employment gap in foreign companies. to indicate, to notify; In order to reduce the unemployment rate of the country to zero, the domestic production line comes into play and the unemployed class is employed in the production of all imported goods. The goods produced are sent in limited quantities to other states that will provide strategic income. The state first intensifies the domestic production process in the production of goods bought from abroad. Thus, it evolves into a seller position. The nation buys all domestically produced goods cheaply. There is no tax for domestic products. Because it is no longer private companies that create the goods produced; directly nation. Continuously developing technology is followed.

Science institutes employ scientists who follow innovations abroad. The state is not a closed economy model. Foreign markets are included without including them in national borders. So it excludes capitalism. He's a good player inside.

Thanks to the factories to be established by the state; Domestic goods produced in each country are provided to enter. In this sense, besides trade agreements, the most important issue is that uncertain sellers also contribute to the economy. Uncertain vendors; It allows the state to enter that country without making trade agreements. Outside states are in the capitalist economy, not individual sellers. Sees trade agreements as factors of influence. If a government sells you goods in a trade agreement; He gets something in return. If not, the deal will be annulled. You too will be convicted. But obscure sellers apparently trade individually within capitalism. In the understanding of socialism, all state treaties were canceled; It will make it easier for obscure sellers who trade individually to invest.

==What will happen to the private sector? The Place in the Socilaist Economy==

of a certain group; It is the unjust and unjust enrichment of the society compared to the rest of the income by taking advantage of the uncontrolled free market with business models that do not contribute to production, education, science, art, sports or global development.

E.g; insurance, lottery, or similar betting businesses, municipality, deputy, real estate sector and housing companies, some business lines in the private sector, statuses that do not require qualifications, certain areas in the media and entertainment sector, associations, foundations and communities, many elements in the private sector in case of uncontrolled enrichment. it does.

The real estate sector is a model that does not contribute to production.

The sector, which shows uncontrolled urbanization activities such as housing companies, will be connected to the Ministry of Urban Planning.

Construction companies will operate together with the staff assigned by the Ministry of City Planning during the construction, resource and material supply, quality, approval of the building's compliance with the city plan and construction phases.

Construction companies can only operate in accordance with these control conditions; otherwise, they will be expropriated. Bids are publicly viewable.

Although there are state enterprises in service sectors such as banks, education, health, transportation, distribution, agriculture; in all other service sectors; will be private enterprises. These will be under state control.

The manufacturing sector is under state control. Today's private sector; evolves into the public sector. No specific business models set prices. Only the state determines the price directly proportional to the cost of production, labor costs, and profit.

Gathering the media and entertainment industry in a certain class with astronomical figures; leads to poverty of the society. For this reason, the state goes to radical changes in the media and entertainment sector.

Socialist Planning
Determining the needs of the society and embodying these needs as economic and social goals,

Evaluation and determination of implementation tools to achieve these goals,

Transforming these into operational plans based on sectoral production targets, as in our example, and

From here, it is reflected in the plans of all production units.

includes all processes.

Current Technologies The power of socialist planning lies behind the fact that the Soviets have turned from a backward country into an industrialized, poverty-stricken and developed country that surpasses independent capitalist countries. Considering the informatics possibilities of that day, the socialist state, which was established on a geographically huge area, can be estimated to have experienced the greatest difficulty in data collection, transmission and processing processes in planning studies. Computers were used at many points in terms of data processing, but it will be mind-opening to compare today's computers with the computers of the period in terms of understanding the difficulties. The first computer developed could perform 50 operations per second, and today computers with a transaction volume of 50 billion times this are produced. To make it easier to imagine, we can think of it as follows; With today's computers, it is possible to calculate a transaction that took 1 month to calculate in 1 second. With today's system, technology and methods, it will be easier to collect, transmit and process the data required for the planning processes, to guarantee the accuracy of the data to be provided and to monitor the realization of the plans (monitoring cycle). We can summarize the technologies that will make this possible under the following seven headings.

1. Enterprise Resource Planning (ERP) Systems
Enterprise Resource Planning (ERP) systems are systems that enable the efficient use of resources such as labor, machinery and materials required for the production of goods or services in institutions. It is derived from the Material Requirements Planning systems that emerged in the 90s and the Production Resource Planning systems, which we can describe as the second generation of these systems. These systems consist of various database applications that work in integration with each other. In the mid-90s, it came to support all the basic functions of a manufacturing company. They are systems that support all production processes with sub-modules such as Finance/accounting, Budget management, Labor management, Production management, Order management, Pricing, Project management. With the widespread use of the internet in the 2000s, 2nd generation ERP systems have become web-based applications that provide real-time access to data for institutions that provide goods or services to the institution and the institutions or persons using them. In today's terms, topics such as supply chain management, customer relationship management and business intelligence have entered. Today, these systems, which also use mobile technologies, put issues such as integration and decision making at the center.

2. Artificial Intelligence, Data Science and Big Data
Although robots come to mind when it comes to artificial intelligence, artificial intelligence has many sub-fields other than robotics. Among these, it can be said that the most relevant sub-field of central planning is "artificial learning". Machine learning is that instead of programming the computer directly to perform a certain task, the computer learns to do the relevant task from the data provided to it. Automatic translation is a good example of this. Let the task be to translate the English sentence given as input into its Turkish equivalent. A computer program that uses dictionaries and grammar rules can be written to solve this problem, but this is a very difficult task and translation performance is poor. If we instead want to solve the same problem with the machine learning approach, we must first create a dataset containing a large number of English-Turkish sentence pairs. We then “train” the computer on this dataset. During this training, the computer learns a function that produces the expected Turkish equivalent for the given English input sentence. The parameters of this function are adjusted in such a way that the translation error on the available dataset is minimized. Then, with this learned function, even English sentences that are not included in the data set can be successfully translated into Turkish. Data science aims to extract the implicit knowledge and patterns in this data by analyzing the data with automatic methods. It is an interdisciplinary science that concerns mathematics, statistics and computer science, and often uses machine learning methods. Thanks to data science, historical analyzes can be made, as well as short and long-term predictions for the future. “Big data”, which we have heard frequently in recent years, is a general name that indicates the data that is automatically and continuously produced in many areas of life, including production-consumption processes, with the spread of sensor and computer technologies.

3. Simulation
Modeling and simulation basically covers creating models based on real data and creating simulation scenarios to examine the behavior and operation of these models under different inputs and influences. Especially in recent years, in addition to the increasing processing power and amount of data in computers, more complex models can be established and realistic simulations can be produced with developing artificial intelligence technologies. In the development of the simulation, it is important to establish reliable models, to make realistic assumptions, to verify the model with real data, and to improve it according to the need for the acceptability of the results. Simulations can be used in many areas such as mining, agriculture, industrial production, consumption, trade, finance, demography, education, tourism, health, culture. In the field of production, it is used in product design, production planning and operation, calculation and estimation of production inputs and outputs. A large number of random or planned scenarios are created and run with input assumptions. As a result of the simulation, best/worst case scenarios, range of possible outcomes and realization rates are revealed as well as targets. With the changes to be made on the simulations, the effect of each input on the results is observed and the targets can be revised.

4. Geographic Information Systems
The display of location-related natural or social information on geographical maps, which humanity has used for hundreds of years, has been moved to an advanced point with the development of computer technologies. Today, processing high-resolution earth images obtained by satellites and enriching them with instant data obtained from one or more systems has become a part of large informatics projects and our daily life. It is used in many areas such as forestry, agriculture, irrigation, transportation, communication, management of energy infrastructures, city planning, tourism, aviation, border and coast guard.

5. Internet of Things
“Internet of Things” (IoT) defines devices that can interact with each other or with people through wired or wireless communication methods. Each of these devices has its own unique identity information. The application area of ​​NI devices has expanded greatly. The number and variety of these devices will continue to increase in parallel with the increase in our data processing capacity. More than 30 billion IoT devices are currently in use and it is expected to exceed 75 billion within 5 years. Step counters, locators, health finding monitors (pulse, saturation, sugar, blood pressure, temperature), drug injectors, which are called wearable devices, can be given as examples of NI devices that have started to enter our personal area of ​​use.

6. Electronic Money
Electronic money3 is a monetary value that can be controlled by public institutions, whose legal regulations are determined by the state central authority, and can be used as a means of payment. Electronic money and physical money are not functionally different, and the unit need not be different from the physical (paper and metal) currency used in the country. Payments for goods and services can be made in cash (physical money) as well as electronic money. Tools such as credit cards and meal cards are methods of transfer, not electronic money itself. It was the spread of fast and secure communication between computer systems that made it possible to use this technology in the financial system. Today, electronic money provides opportunities such as making payments quickly and even without meeting face-to-face over the internet, with tools such as credit cards and meal cards. The fact that our regular payments of definite/uncertain amount can be made by order (due fees, water, gas, telephone, etc.), eliminating the need to carry wallets, and reducing the risk of loss/theft are among the factors that make it widespread. But most importantly, wage payments have started to be made with this method.

7.Mobile Technologies
They are technologies that use wireless communication, and in fact, it can be said that they entered our lives with the first radio signal at the end of the 1800s. In recent years, with the coming together of mobile communication with information technology, they have started to be widely used in production. Development of systems (supervisory control and data collection systems and production execution systems), quality, stock management, reporting (monitoring and instant reporting of every stage of production), real-time monitoring, reporting It is also used in production in topics such as better logistics, supplier coordination and forecasting with its facilities.

8. Opportunities of Current Technologies in Socialist Planning
Although the subject of the difficulties faced by socialist planning in real socialism experiences is beyond the scope of this article, the possibilities that current technologies can offer for socialist planning, "What difficulties would Soviet planning overcome?" It gives important clues about the answer to the question. Considering the elements of the G central planning hierarchy, it can be seen that today's production units can be the basic planning tools. The hierarchical systems that make up such a production unit and the technologies that can be used at every level are shown. The system hierarchy within the production unit plans or operational plans is not different from each other. It would not be wrong to say that ERPs can also be used as tools for resource planning at higher levels in the hierarchy. The data flow chart shows the relationship between planners, production units, distribution points and needs/wants, and the technologies that can be used in a sample socialist planning.

The output of a production unit can depend on many variables. Examples of these are whether a required raw material arrives on time or in sufficient quantity, machinery malfunctions, labor productivity, unexpected logistical problems, power outages, and even the weather. The problem of how and at what level all these variables affect the output of the production unit can be solved by statistical modeling. We know this is not a new technology or possibility. What is new is the developments in machine learning, which has formed the basis of data science in recent years. New machine learning methods can learn much more complex functions and provide higher accuracy than classical statistical modeling methods. These developments, combined with the acceleration of processors, the ease of production and storage of data, offer new possibilities that were not possible before. Significant patterns and implicit information can be extracted from large amounts of data, including variables that are at first glance unrelated to each other. Data science is used not only to understand the past, but also to predict what might happen in the future based on existing data. It has become possible to predict in advance how the output of the production unit will change or which machines will fail for a desired time window (This can be a very short window or a very long one).

Today, we know that mega-corporations make centralized internal planning of production, supply, distribution processes and effectively use data science methods to do this. For example, Walmart Inc., which has two million employees worldwide. A chain of retail stores makes a centralized planning within the company (Phillips & Rozworski, 2019) in order to keep the product variety and stocks in their stores at sufficient levels (Phillips & Rozworski, 2019) and makes use of data science (Malinowska, 2019). Products purchased from physical stores or online stores have increased their profits significantly by using all data based on the analysis of weather, social media and current news. While increasing profits may not seem like the right example for this article on socialist planning, the Walmart example illustrates the importance of data science in large-scale central planning.

As a part of central planning, simulation models can be established at scales such as production process, production unit, production area, production region, as well as possible situations and scenarios for nationwide production by establishing an interactive "simulations network". In addition, disaster situation simulations can be created and a comprehensive analysis of the measures that can be taken and their effects can be made. Monitoring and evaluation of especially natural resources, water and agricultural basins; Geographic information systems (GIS) are of great importance in the planning and operation of production units, supply chains, transportation processes. Thanks to the instant data to be collected in all these areas and the integration of artificial intelligence / artificial learning systems with GIS, the needs such as energy, water, food can be analyzed at different scales from micro level to macro level, depending on the population density in a certain geographical region. can be developed and improved accordingly. Devices that measure the quantity, quality, and malfunctions of the production on the production lines and determine the potential malfunction in advance are becoming widespread. At the same time, production facilities that remotely manage production lines and even operate completely unmanned with the contribution of robotic technology in some sectors are the technological level reached today. ICT technology will contribute to reducing production costs, making plans instantly instead of annual monthly periods, isolating people from heavy and dangerous works as much as possible, and reducing working hours.

It is possible to measure temperature, humidity, used heat, light, energy consumption of electrical devices, open and closed conditions of windows and doors in residences. These devices are used today in residences called smart homes and yet seen as luxury. Ensuring that these devices are used in all residences will both provide more livable housing for every citizen and greatly improve the total energy consumption of the society.

It is possible to monitor and manage every point of the infrastructure that everyone benefits, such as electricity, water, natural gas distribution networks, transportation and communication lines. In this way, it is possible to reduce the losses in natural resources to a great extent and to plan and build more livable cities. In addition, if every citizen in need of the society can benefit from wearable devices, early warning can be given in cases of critical illness, and the public health can be increased by determining the diet, movement and sleep patterns that the person should follow. Today, states and companies continue to use electronic money technology with increasing intensity due to the possibilities of instantaneously circulating, transferring and converting money into other currencies.

Technology accumulates statistical information on the use of money for states/companies and enables the production of tools that can manage the capitalist financial system with instant interventions. In a socialist state, too, the use of physical money can be used as part of planning by prioritizing other priorities, or even abolished entirely. Thus, the effect of people's consumption on production can be monitored centrally in production planning and value determination, and this data can be used for planning. It allows to set upper/lower quotas for certain subjects as part of the planning. Since it can be monitored as a data center, unexpected money accumulation at any point becomes visible immediately, second economies cannot be formed. At the same time, it can be ensured that secondary economic interfaces – including the family – do not form between the public and the individual (as part of the production unit).

It can be predicted that mobile technologies will be highly functional in collecting beneficiary notifications as well as their use in the field in production. Although it is the subject of different disciplines, we have the infrastructure to solve issues such as the management of basic needs, industrial production, raw material supply, logistics management, population policies, environmental factors in a completely integrated manner. As stated above, this information infrastructure is in a position to provide us with the ability to pre-examine the nationwide impact of instantaneous decisions and manage them when necessary. Today, these systems are systems that are used within the framework of free market conditions for each company's own benefit, namely profit maximization, and are still owned by capital. These tools will need to be redeveloped and parts integrated to pass ownership to society. Today's rapid software development and integration techniques will facilitate the informatics of socialism. In socialism, when knowledge is shared around a single main purpose; information processing units will be part of a system in which they are used in production for the benefit of society.

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