From 3af6747656446fb9eb924a5da1594279deda4bd1 Mon Sep 17 00:00:00 2001 From: Amiya Behera Date: Sun, 15 Sep 2024 13:04:37 +0530 Subject: [PATCH] docs update --- README.md | 2 +- docs/shivarthu/Leadership.svg | 339 +++++++ docs/shivarthu/Portfolio.svg | 147 +++ docs/shivarthu/Problem_Solution.svg | 393 ++++++++ .../Project_score_schelling_game.svg | 278 ++++++ docs/shivarthu/Shivarthu.md | 302 ++++++ docs/shivarthu/Shivarthu_old_copy.md | 330 +++++++ docs/shivarthu/Winners.svg | 891 ++++++++++++++++++ docs/shivarthu/approval_voting.svg | 568 +++++++++++ .../shivarthu/effectiveness_schelling_game.md | 17 + docs/shivarthu/payoff.png | Bin 0 -> 32576 bytes docs/shivarthu/rust-setup.md | 225 +++++ docs/shivarthu/sortition_sum_game.pdf | Bin 0 -> 549421 bytes docs/shivarthu/web3_foundation_grants.svg | 1 + 14 files changed, 3492 insertions(+), 1 deletion(-) create mode 100644 docs/shivarthu/Leadership.svg create mode 100644 docs/shivarthu/Portfolio.svg create mode 100644 docs/shivarthu/Problem_Solution.svg create mode 100644 docs/shivarthu/Project_score_schelling_game.svg create mode 100644 docs/shivarthu/Shivarthu.md create mode 100644 docs/shivarthu/Shivarthu_old_copy.md create mode 100644 docs/shivarthu/Winners.svg create mode 100644 docs/shivarthu/approval_voting.svg create mode 100644 docs/shivarthu/effectiveness_schelling_game.md create mode 100644 docs/shivarthu/payoff.png create mode 100644 docs/shivarthu/rust-setup.md create mode 100644 docs/shivarthu/sortition_sum_game.pdf create mode 100644 docs/shivarthu/web3_foundation_grants.svg diff --git a/README.md b/README.md index b9f661f..079d89e 100644 --- a/README.md +++ b/README.md @@ -18,7 +18,7 @@ https://shivarthu.reaudito.com/paper/Shivarthu_whitepaper.pdf ## Technical Details -https://github.com/reaudito/shivarthu/blob/main/docs/Shivarthu.md +https://github.com/reaudito/shivarthu/blob/main/docs/shivarthu/Shivarthu.md ### Build diff --git a/docs/shivarthu/Leadership.svg b/docs/shivarthu/Leadership.svg new file mode 100644 index 0000000..2be34d5 --- /dev/null +++ b/docs/shivarthu/Leadership.svg @@ -0,0 +1,339 @@ + + + + + + + + + + image/svg+xml + + + + + + + + Applications to implement the plan + Project Leader 1 + + + + Delivery Time: ____Stragey: ______ + + LocalitySimulia + Problem + + + Photo + Water logging + Department:City Planning + Solution + + The Detail Plan + Percolation pit + Optimal Solution + + Project Leader 4 + Project Leader 2 + Project Leader 3 + + diff --git a/docs/shivarthu/Portfolio.svg b/docs/shivarthu/Portfolio.svg new file mode 100644 index 0000000..89413f9 --- /dev/null +++ b/docs/shivarthu/Portfolio.svg @@ -0,0 +1,147 @@ + + + + + + + + image/svg+xml + + + + + + + Representive Portfolio + + Ruby Griffith + + Experience + + Ideas + + Schelling Game Evaluation + + diff --git a/docs/shivarthu/Problem_Solution.svg b/docs/shivarthu/Problem_Solution.svg new file mode 100644 index 0000000..e2cd098 --- /dev/null +++ b/docs/shivarthu/Problem_Solution.svg @@ -0,0 +1,393 @@ + + + + + + + + + + + + image/svg+xml + + + + + + + + + LocalitySimulia + Problem + Solution + + + + Photo + + Water logging + The Detail Plan + Percolation pit + + Peer Review as per scientific guidlines + + Problems of the planImprovement of the plan + Solution 1 + + + Problems of the planImprovement of the plan + Solution 2 + The Detail Plan + Improvement of drainage system + Peer Review as per scientific guidlines + Department:City Planning + + diff --git a/docs/shivarthu/Project_score_schelling_game.svg b/docs/shivarthu/Project_score_schelling_game.svg new file mode 100644 index 0000000..8a82bfe --- /dev/null +++ b/docs/shivarthu/Project_score_schelling_game.svg @@ -0,0 +1,278 @@ + + + + + + + + image/svg+xml + + + + + + + Project Funding + Approved Projects + Department: Education + Total Fund Collected: $1,000,000 + + Project 1 + Work Details + Fee Needed: $10,000 + + Score Schelling Game + + -10 + +10 + + Project 2 + Work Details + Fee Needed: $5,0000 + + Score Schelling Game + + -10 + +10 + + diff --git a/docs/shivarthu/Shivarthu.md b/docs/shivarthu/Shivarthu.md new file mode 100644 index 0000000..5479fb3 --- /dev/null +++ b/docs/shivarthu/Shivarthu.md @@ -0,0 +1,302 @@ +# Shivarthu: A Governance Protocol + + +## Overview + +Shivarthu: The blockchain-based decentralized governance system. Democracy is about fair and equal treatment of everyone in a country. But it becomes unrealistic to achieve when political parties have their conflict of interest, and leaders don’t have the expertise to make evidence-based policies and neither have the skill and manpower for solving problems that surround our society and ecosystem. The new fair democracy provides an elegant way of governance that separates the representative responsibility according to their specialization and can grow into any complexity. The governance is divided into various departments, and each department is supervised by representatives with expertise in the field. Rational voters who have a sufficient understanding of the departments and their issues will be given more weight in the voting process than other voters. It results in a self-reinforcing feedback loop that eliminates frivolous actors and leaves utilitarian ones in charge. + + + +Shivarthu will be build on Substrate. + +Our democracy has many challenges, blockchain can provide a way to tackle those challenges by minimizing trust through game theory. That made our team interested in creating this project. + + +### Project Details + +Project Github link: + +### Departments: + +The governance is divided into many departments like education, infrastructure, health, community service for every locality. + +### Expertise evaluation of representatives : + +Voters and especially representatives need to have some experience or expertise in the department. Experience is required because education about the department leads to better decision making. +Their kyc and experience is evaluated by schelling game. + +### Vouching + +A family tree is constructed. +If they know each other, friends and relatives will become guarantors for each other. +Moderators chosen through approval voting have the ability to invalidate the fake vouching by down voting the guarantor. + + +Experience evaluation pallet + + + +portfolio + + +## The Schelling Game: + +### The schellingCoin + +The SchellingCoin is designed to encourage truthfulness through economic incentives. The coin's mechanism is based on the concept of Schelling Points, as described by Thomas Schelling. + +In essence, the idea is to create a scenario where individuals are motivated to tell the truth because they expect others to do so as well. In the case of the SchellingCoin, if we wanted to know if it rained in Paris this morning, we could ask every owner of the coin to vote secretly on whether it rained or not. After all the votes are cast, the results would be revealed, and those who voted in agreement with the majority would be rewarded with 10% of their coins, while those who voted differently would lose 10% of their coins. + +The SchellingCoin's mechanism is rooted in the concept of focal points, which Schelling described as "each person's expectation of what the other expects him to expect to be expected to do." In this case, the focal point is honesty. The idea is that every individual in the system expects others to vote truthfully, because they expect others to expect them to vote truthfully. This creates a self-reinforcing loop, where individuals are incentivized to tell the truth because they believe others will do the same. + +![Payoff](payoff.png) + +[Kleros Whitepaper](https://42683ff2b1a2ac5ad2fef0ee01995d78.ipfs.4everland.link/ipfs/bafybeiarvlogal2u7i566wdfwjqty53giccwmb6tcjz6zrmvs3rt56j37y) + +### Effectiveness of Schelling Game + +The Schelling game of Shivarthu is designed to incentivize participants to reveal truthful information by rewarding them based on the majority consensus. + +In the Schelling game, participants are asked to vote on the outcome of a particular event or question. They are rewarded based on the accuracy of their vote and the overall consensus among the participants. The idea is that participants will have an incentive to vote honestly in order to maximize their potential rewards. + +> The effectiveness and accuracy of the Schelling game, like any decentralized system, depend on several factors: +> +> Participation: The accuracy of the results can improve with a larger number of participants. More participants increase the diversity of perspectives,reducing the potential for bias or manipulation. +> +> Token Staking: In the protocol, participants must stake tokens as collateral, which can be lost if they vote against the majority outcome. This mechanism provides an additional incentive for participants to vote honestly. +> +> Jury Selection: It utilizes a random selection process to form a jury panel from the pool of participants. This randomness helps prevent collusion and bias within the jury. + +The accuracy of the Schelling game can vary depending on the specific context and the quality of information available. It is important to note that no system can guarantee 100% accuracy. Factors such as the complexity of the question, the availability of information, and potential manipulation attempts can influence the accuracy of the results. + +However, decentralized systems like Schelling game aim to mitigate biases and provide a fair and transparent mechanism for dispute resolution. By incentivizing truthful voting and random jury selection, Schelling game aims to achieve a reasonable level of accuracy in determining the majority consensus. Nonetheless, it is advisable to consider the specific details and context of each use case when evaluating the accuracy of the system. + +### Sybil Attack: + +A Sybil attack is a type of attack on a peer-to-peer network or a decentralized system where an attacker creates multiple pseudonymous identities (Sybils) to gain a disproportionate control or influence over the network. This can be done by creating multiple fake identities, flood the network with fake requests, or manipulate the network's decision-making processes. + +### How more stakes, more chances of selecting as juror protects from Sybil attack?: + +In a system like the SchellingCoin, where the amount of stakes determines the chances of being selected as a juror, increasing the stakes for a node (user) makes it more difficult for an attacker to launch a Sybil attack. In a random selection process, an attacker could create multiple fake addresses to increase their chances of being selected as a juror. By being chosen more frequently than honest jurors, the attacker could effectively control the outcome. However, the stake-based selection mechanism ensures that only genuine users with a vested interest in the outcome are drawn as jurors, protecting the integrity of the system. + + +### Alternative to more stakes, more chances of selecting as juror: + +Increased stakes and a greater likelihood of being chosen as a juror may lead to a concentration of wealthier individuals in the decision-making process. An alternative approach to mitigate Sybil attacks is to use Stake by KYC (Know Your Customer) and Positive Externality Score. + +#### Stake by KYC: + +In this approach, nodes are required to provide verifiable identification (KYC) to participate in the juror network. This ensures that each juror is a unique entity and cannot create multiple fake identities. + +#### Positive Externality Score: + +A Positive Externality Score can be used to incentivize jurors to behave honestly and contribute positively to the network. This score can be calculated based on the jurors behavior, such as the quality of its decisions, the number of honest votes, or the amount of valuable contributions it makes to the network. + +By using Stake by KYC and Positive Externality Score, the network can promote accountability, authenticity, and cooperation among nodes, making it more resistant to Sybil attacks. + +### Incentive system adaptation + +No deductions will be made from your stake in the Schelling game if your accuracy is greater than 60%. Instead, any penalties will be applied to your rewards. Here's how it works: + +- If you make 10 decisions and get 6 wrong and 4 right, you'll receive incentives for the correct decisions but incur disincentives for the incorrect ones. Specifically, you will earn incentives for the 4 correct decisions but face penalties of 1.5 times the number of incorrect decisions (6 * 1.5 disincentives). + +- Both incentives and your original stake will be released only after you have made between 20 and 50 decisions. + +- If your accuracy falls below 60%, a 5% to 10% cut will be made from your stake. + +By ensuring there are fewer disincentives for staking and requiring at least 20 decisions to release the funds, we aim to increase voter participation. + +### Does the Schelling game force you to vote based on majority opinion? In other words, can't you vote according to your independent thoughts? + +First, money is not deducted from your stake; it's deducted from the incentives you're supposed to receive if you make many wrong choices. So, it’s fine to deviate from majority thinking. We can also have a platform for advocacy and discussion before the voting takes place, where you can present your arguments. + +You don't know how the majority will vote during the commit period, you will know only during the reveal period. Putting some disincentives for going against the wisdom of the crowd is a good way to build pressure to vote truthfully. + +Who will be the jurors, or who will participate in the crowd, is further filtered out and has a different weightage through a positive externality reputation system. As education is a positive externality, educated people will have more weightage for answering. + +Furthermore, it's experimental. One must review the decisions made in a real setting and adjust based on feedback from participants. If good decisions can be made without financial penalties, that approach can also be considered. + + +## Where Schelling Game implemented in the project? + +In this project, the Schelling game is employed to perform Know Your Customer (KYC) checks on users. Furthermore, a modified version of the Schelling game called the score Schelling game is applied to funding departments, incorporating both funding allocation and rating of users based on the positive externality they generate. + +In the Schelling game, individuals who wish to participate as jurors can apply to make decisions. The likelihood of being selected as a juror is directly proportional to the number of tokens a juror stakes. The more tokens a juror stakes, the greater their chances of being chosen. Additionally, jurors are randomly selected, which helps safeguard the system against sybil attacks. + +We will use the substrate randomness trait for generating a random number. + + +Then jurors will vote for their decision using the commit and reveal scheme. In the commit phase, they submit the hash of the vote string. Then, in the reveal phase, they submit the hash and the vote string. If the vote string matches with the hash, then the vote is accepted. +If a juror's vote is coherent (more than 51% of other jurors agree) then they receive incentives, otherwise, incentives are deducted from the stake of the juror. + +Sortition Sum Game Algoritm: + +[An Efficient Data Structure for Blockchain Sortition](sortition_sum_game.pdf) + + +Sortition Sum Game pallets: + + + +## Voting for selection of department representatives: + +The election will be conducted using a multi-winner approval system. To choose the representatives, we will employ the sequential Phragmén method on the substrate. In this approach, instead of using stake, we will consider the vote weight based on factors such as reputation, experience, and positive externality scores. These scores are determined by the level of participation in the network or the positive external effects they have generated. As mentioned earlier, the positive externality score is calculated using the score Schelling game. + + + +Approval Voting: +Approval Voting +Winners: +Winner + +Seq phragmen voting: + + + +#### Voting for selection of governors + +Governers will be selected again by seq phragmen, to form a fully decentralized governance they will have functions of setting different thresholds, like election timing, the number of elected representatives, and approving departments that can be formed. + + +#### Project application and acceptance: + +The representatives are in charge of accepting the incoming projects for funding. +People will submit their problems, for example, waterlogging in the locality. +Then experts all around the globe will submit the solution. The solution will be peer-reviewed to check its pros, cons, and suggest improvements that can be made. The review must meet the scientific guidelines. The solution can undergo revision through peer review feedback. +The solution provider and peer reviewer have to stake some money to receive incentives for their work. The solution and peer review will again be approved and disapproved through the shelling game after checking whether the content meets the quality as recommended in scientific guidelines. The solutions provider and reviewer will get the incentives if it gets approved, otherwise, some money will be cut from the stake. It creates pressure on the reviewer to maintain quality without noise. + +Problem Solution + +The representatives of the department will select the most optimal solution. +After that persons wanting to take the lead to implement the solution will apply. Again representatives will select the best project leader from the application. + +Leadership + + + +## Money for department: + +Form a department with a location with some min members, say 3000, and get it approved by the main governance. + +### Department price discovery: + +Say we have 1,000,000 departments with 3000 population each. + +Department funding operates on a tipping system where each department is categorized as either a SmallTipper, BigTipper, SmallSpender, MediumSpender, or BigSpender, each corresponding to an increased funding value. + +The funding categories are represented by an enumeration: + +```rust +pub enum TippingName { + SmallTipper, + BigTipper, + SmallSpender, + MediumSpender, + BigSpender, +} +``` + +Department-appointed governors are required to apply for the spending value, which can take any numerical value but must not exceed the specified limit associated with the tipping name. For example, if the allowed limit for SmallTipper is 10,000 tokens, applications for SmallTipper must be for an amount less than or equal to 10,000 tokens. + +Applying for larger funds necessitates a greater stake in the form of increased responsibilities or commitments. + +The amount is released after it is validated by the Yes or No Schilling game. + +To utilize department funds, there is a process called Project Tips, wherein individuals or teams apply using a procedure similar to that of determining department funding + +### Further improvements + +Create guidelines for department formation, e.g. specifying which values are allowed and which are not. These guidelines will serve as the basis upon which the maximum tipping amount is decided by the juror. There can be logic for department approval based on meeting the guidelines. A department can only apply for funding if it is approved. Approval can be obtained through Seq phragmen governance. + +## Price discovery of positive externality through Score Schelling Game: + +1) When you submit a positive externality that you made, you need to provide details of your work. +2) Here is how the score Schelling game works to calculate score. For example, you can have a score between -10 and +10. The range of -10 to +10 poses a problem because the mean works best without extreme values. If someone gives -10, and others give 1, the mean result can be skewed due to the -10 outlier. The trick is to remove outliers by computing the standard deviation and eliminating all values more than one standard deviation away from the mean. Subsequently, we calculate the new mean of the remaining values, which consist of atleast 68.27% of the dataset. This new mean becomes the score. If your given score is close to the new mean, you receive incentives. If it deviates from the new mean, a portion of your staking value is deducted. Commit and reveal scheme is used. + + +Code to calculate new mean: + +```python +import statistics + + + +def calculate_new_mean(items): + mean = statistics.mean(items) + print(mean) + sd = statistics.stdev(items) + print(sd) + + + #The values less than one standard deviation away from the mean account for 68.27% of the set + #So we calculate mean of this 68.27% of data removing outlier + + # New data + new_items = [] + for x in items: + if x >= mean - sd and x <= mean + sd: + new_items.append(x) + + print(new_items) + + new_mean = statistics.mean(new_items) + print(new_mean) + print("********************") + +items = [-10, 1, 1, 1, 5, 1, 1, 7] +calculate_new_mean(items) +# 0.875 +# 4.969550137731641 +# [1, 1, 1, 5, 1, 1] +# 1.6666666666666667 +# ******************** +items2 = [-10, -10, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0] +calculate_new_mean(items2) +# -1.5833333333333333 +# 3.941811612428832 +# [0, 0, 0, 0, 0, 1, 0, 0, 0, 0] +# 0.1 +# ******************** +items3 = [-10, -10, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, -9, -8, -7, -6, -5, -4, -3, -2, -1] +calculate_new_mean(items3) +# -3.0476190476190474 +# 3.8141341150540375 +# [0, 0, 0, 0, 0, 0, 0, 0, 0, -6, -5, -4, -3, -2, -1] +# -1.4 +# ******************** +``` + +3) Then, we will do quality score voting Schelling game that checks the quality or impact of positive externality. The score range is 0-5 +4) A fixed amount of tokens is released for each score. The highest amount of tokens will be released for a score of 5, fewer tokens for a score of 1, and no tokens for a score of 0. + + + + + +### Randomized Tax collection + +Initial project funding comes from inflation, however as the inflation rate declines over time, the funds are collected by subtracting some amount of balance from different accounts so that there is no longer any inflation. + +To avoid creating disincentives to invest in the coin, tax collection or deduction of balance is randomized for every transaction. + +During a transaction, a random value is generated between 0 and 10. If the drawn number is 0, no tax will be deducted. If the number is 10, a 5% tax will be deducted from the transaction. In the case of the drawn number being 5, a 2.5% tax will be deducted. + +Another way of tax collection, but less simple: + +An account number is assigned to each account starting from 1000 in ascending order. A random number n between 1-1000 is drawn. + +All account numbers with account_number % 1000 == drawn random number are taxed + +If the drawn number is 1,000, one out of every 1,000 accounts will be taxed. + +The primary governance determines the tax rate. The block number is stored during the draw. One draw is conducted each month at random time. Tax is deducted when the account interacts with the blockchain. + +### Why tax collection, not inflation? + +The current price of token is being impacted by a combination of psychological and economic factors due to inflation. As inflation rises, sell pressure increases, leading to fear and uncertainty among investors, causing them to seek hedging in alternative assets with lower inflation rates. This heightened sell pressure can trigger panic selling and herd behavior, further driving down the token's price. Additionally, loss aversion and recency bias intensify these effects, causing investors to overreact to the lack of price movement. Loss aversion suggests that the pain of losing is twice as powerful as the pleasure of gaining, while recency bias gives greater importance to recent events over historical ones, further influencing investor behavior. + +### Why inflation? + +Money circulation is the fundamental principle for a thriving economy. Deflationary currency tends to decrease circulation, as people are inclined to hold onto it, which can, in turn, lead to increased poverty and wealth concentration. On the other hand, inflationary currency can be beneficial if money is distributed fairly, ensuring continuous circulation. However, it is crucial that this distribution is managed in a way that does not create negative externalities. + +The challenge lies in maintaining the balance; A token can be inflationary, but you receive rewards for staking or holding it, which cancels out the devaluation caused by inflation. diff --git a/docs/shivarthu/Shivarthu_old_copy.md b/docs/shivarthu/Shivarthu_old_copy.md new file mode 100644 index 0000000..c60cff8 --- /dev/null +++ b/docs/shivarthu/Shivarthu_old_copy.md @@ -0,0 +1,330 @@ + + +* **Project Name:** Shivarthu +* **Team Name:** Reaudito +* **Payment Address:** 0x7e30FB962f951ef78D901865F87DD036fc5aa946 (DAI) + + +### Overview + +Shivarthu: The blockchain-based decentralized governance system. Democracy is about fair and equal treatment of everyone in a country. But it becomes unrealistic to achieve when political parties have their conflict of interest, and leaders don’t have the expertise to make evidence-based policies and neither have the skill and manpower for solving problems that surround our society and ecosystem. The new fair democracy provides an elegant way of governance that separates the representative responsibility according to their specialization and can grow into any complexity. The governance is divided into various departments, and each department is supervised by representatives with expertise in the field. Rational voters who have a sufficient understanding of the departments and their issues will be given more weight in the voting process than other voters. It results in a self-reinforcing feedback loop that eliminates frivolous actors and leaves utilitarian ones in charge. + +https://shivarthu.reaudito.com/paper/Shivarthu_whitepaper.pdf + +Shivarthu will be build on Substrate. + +Our democracy has many challenges, blockchain can provide a way to tackle those challenges by minimizing trust through game theory. That made our team interested in creating this project. + + +### Project Details + +Project Github link: https://github.com/amiyatulu/shivarthu + + +#### Departments: +The governance is divided into many departments like education, infrastructure, health, community service for every locality. +#### Expertise evaluation of representatives : +Voters and especially representatives need to have some experience or expertise in the department. Experience is required because education about the department leads to better decision making. +Their kyc and experience is evaluated by schelling game. + +#### Vouching +A family tree is constructed. +If they know each other, friends and relatives will become guarantors for each other. +Moderators chosen through approval voting have the ability to invalidate the fake vouching by down voting the guarantor. + + +Experience evaluation pallet: +https://github.com/amiyatulu/shivarthu/tree/main/pallets/template + + +portfolio + + +#### Schelling Game: + +[Schelling Game Effectiveness](./effectiveness_schelling_game.md) + + +In this project, the Schelling game is employed to perform Know Your Customer (KYC) checks on users. Furthermore, a modified version of the Schelling game called the score Schelling game is applied to funding departments, incorporating both funding allocation and rating of users based on the positive externality they generate. + +In the Schelling game, individuals who wish to participate as jurors can apply to make decisions. The likelihood of being selected as a juror is directly proportional to the number of tokens a juror stakes. The more tokens a juror stakes, the greater their chances of being chosen. Additionally, jurors are randomly selected, which helps safeguard the system against sybil attacks. + +We will use the substrate randomness trait for generating a random number. +https://docs.substrate.io/reference/how-to-guides/pallet-design/incorporate-randomness/ + +Then jurors will vote for their decision using the commit and reveal scheme. In the commit phase, they submit the hash of the vote string. Then, in the reveal phase, they submit the hash and the vote string. If the vote string matches with the hash, then the vote is accepted. +If a juror's vote is coherent (more than 51% of other jurors agree) then they receive incentives, otherwise, incentives are deducted from the stake of the juror. + +Sortition Sum Game pallets: +https://github.com/amiyatulu/shivarthu/tree/main/pallets/sortition-sum-game + + +#### Voting for selection of department representatives: + +The election will be conducted using a multi-winner approval system. To choose the representatives, we will employ the sequential Phragmén method on the substrate. In this approach, instead of using stake, we will consider the vote weight based on factors such as reputation, experience, and positive externality scores. These scores are determined by the level of participation in the network or the positive external effects they have generated. As mentioned earlier, the positive externality score is calculated using the score Schelling game. + +https://paritytech.github.io/substrate/master/sp_npos_elections/phragmen/fn.seq_phragmen.html + +Approval Voting: +Approval Voting +Winners: +Winner + +Seq phragmen voting: +https://github.com/amiyatulu/shivarthu/tree/main/pallets/election + + +#### Voting for selection of governors +Governers will be selected again by seq phragmen, to form a fully decentralized governance they will have functions of setting different thresholds, like election timing, the number of elected representatives, and approving departments that can be formed. + + +#### Project application and acceptance: +The representatives are in charge of accepting the incoming projects for funding. +People will submit their problems, for example, waterlogging in the locality. +Then experts all around the globe will submit the solution. The solution will be peer-reviewed to check its pros, cons, and suggest improvements that can be made. The review must meet the scientific guidelines. The solution can undergo revision through peer review feedback. +The solution provider and peer reviewer have to stake some money to receive incentives for their work. The solution and peer review will again be approved and disapproved through the shelling game after checking whether the content meets the quality as recommended in scientific guidelines. The solutions provider and reviewer will get the incentives if it gets approved, otherwise, some money will be cut from the stake. It creates pressure on the reviewer to maintain quality without noise. +Problem Solution + +The representatives of the department will select the most optimal solution. +After that persons wanting to take the lead to implement the solution will apply. Again representatives will select the best project leader from the application. + +Leadership + + + +## Money for department: + +Form a department with a location with some min members, say 3000, and get it approved by the main governance. + +### Department price discovery: + +Say we have 1,000,000 departments with 3000 population each. + +Mega department with 1,000,000 population, will get 300x more weightage funding. + +With score schelling game, we will get score between 0-10 +Score schelling game: 0-10 scores +10 means 100% funding +1 means 10% funding +0 means no funding + +ax+ 0.1bx + 0.2cx + 0.3dx + ..... + 0.9jx = Total fund + +100% funding = x +0.1 when you get 1 score, 0.3 when you get 3 score etc. +a, b, c, etc. are a number of departments with particular scores. + +You have the option to assign a rating to the department on a scale of 0 to 5 or 0 to 10, without any knowledge of what ratings others are giving. If the "mean" rating of all the jurors closely matches your rating, you will receive incentives as a juror. However, if the "mean" rating deviates significantly from your assigned rating, your incentives will be deducted. Consequently, jurors will strive to align their ratings with what others are likely to assign based on the available information, rather than arbitrarily defecting from the consensus. + +## Price discovery of projects through Score Schelling Game: + +1) When you submit a project, you need to provide details of the funding needed for work to be done. +2) Then, we will have a percentage Schelling game to predict the price. That is, you can predict whether to increase or decrease the funding amount in percentage. Score values will remain from -10 to +10, -10 means 100% decrease, +10 means 100% increase +The range of -10 to +10 has a problem because the mean works best without extreme values. So, if someone gives -10, and others give 1, the mean result can get screwed due to the -10 outlier. So the trick is to remove outliers by computing the standard deviation. Remove all values more than one standard deviation away from the mean. Then, we calculate the new mean of the left values (it consists of 68.27% data of the set). + + +Code to calculate new mean: + +```python +import statistics + + + +def calculate_new_mean(items): + mean = statistics.mean(items) + print(mean) + sd = statistics.stdev(items) + print(sd) + + + #The values less than one standard deviation away from the mean account for 68.27% of the set + #So we calculate mean of this 68.27% of data removing outlier + + # New data + new_items = [] + for x in items: + if x >= mean - sd and x <= mean + sd: + new_items.append(x) + + print(new_items) + + new_mean = statistics.mean(new_items) + print(new_mean) + print("********************") + +items = [-10, 1, 1, 1, 5, 1, 1, 7] +calculate_new_mean(items) +# 0.875 +# 4.969550137731641 +# [1, 1, 1, 5, 1, 1] +# 1.6666666666666667 +# ******************** +items2 = [-10, -10, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0] +calculate_new_mean(items2) +# -1.5833333333333333 +# 3.941811612428832 +# [0, 0, 0, 0, 0, 1, 0, 0, 0, 0] +# 0.1 +# ******************** +items3 = [-10, -10, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, -9, -8, -7, -6, -5, -4, -3, -2, -1] +calculate_new_mean(items3) +# -3.0476190476190474 +# 3.8141341150540375 +# [0, 0, 0, 0, 0, 0, 0, 0, 0, -6, -5, -4, -3, -2, -1] +# -1.4 +# ******************** +``` +Score Schelling Game + + +3) Then, we will do quality score voting Schelling game that checks the project meets the quality guidelines. The score range is 0-5 +4) The amount of funding will be directly proportional to (Predicted Price) * (Quality Score/5*2) +Code: +```python +total_fund = 200000 + + +predictprice = [(17411)*(5/5*2), (411)*(5/5*2), (17411)*(5/5*2), (1741)*(2/5*2)] + +total_predictprices = 0 +for x in predictprice: + total_predictprices = total_predictprices + x + +predicted_price_percentage = [] +for x in predictprice: + percentage = x / total_predictprices * 100 + predicted_price_percentage.append(percentage) + + +money_distribution = [] +for x in predicted_price_percentage: + money = x * total_fund/100 + money_distribution.append(money) + + +print(money_distribution) +``` + +The algorithm tries to meet the values of teal organization through reduced compensation inequality. + + +### Randomized Tax collection + +Initial project funding comes from inflation, however as the inflation rate declines over time, the funds are collected by subtracting some amount of balance from different accounts so that there is no longer any inflation. + +To avoid creating disincentives to invest in the coin, tax collection or deduction of balance is randomized for every transaction. + +During a transaction, a random value is generated between 0 and 10. If the drawn number is 0, no tax will be deducted. If the number is 10, a 5% tax will be deducted from the transaction. In the case of the drawn number being 5, a 2.5% tax will be deducted. + +In order to stop hoarding following tax collection can also be applied: + +An account number is assigned to each account starting from 1000 in ascending order. A random number n between 1-1000 is drawn. + +All account numbers with account_number % 1000 == drawn random number are taxed + +If the drawn number is 1,000, one out of every 1,000 accounts will be taxed. + +The primary governance determines the tax rate. The block number is stored during the draw. One draw is conducted each month at random time. Tax is deducted when the account interacts with the blockchain. + + + +### Ecosystem Fit + + +The project will be built on the substrate as a parachain or parathread. + +Other projects similar to it is gitcoin, but its not in Substrate / Polkadot / Kusama ecosystem. Gitcoin uses quadratic funding, but we will use score schelling game for allocation of funds. Gitcoin is for mainly blockchain projects, but our projects includes local community problems. + +### References +Schelling game whitepaper of Kleros: +https://kleros.io/whitepaper.pdf +Approval Voting: +https://electionscience.org/ + +## Team: + +### Team members + +* Amiya Behera (Developer) +* Soumya Ranjan Behera (Developer) +* Mahesh Sahoo (Advisor) + +### Contact + +* **Contact Name:** Amiya Behera +* **Contact Email:** amiyatulu@gmail.com +* **Website:** https://shivarthu.reaudito.com/#/ + +### Legal Structure + +* **Registered Address:** Charampa, Bhadrak, Odisha, India +* **Registered Legal Entity:** Reaudito + +### Team's experience + +Amiya Behera is a full-stack developer and has build many webapps and a few dapps. Has experience in substrate, rust, reactjs, python and also in building mobile apps in react native. +Soumya Ranjan Behera is also a full stack developer with experience in reactjs, react native and python. + + + +### Team Code Repos + +* https://github.com/amiyatulu +* https://github.com/soumyababu +* https://github.com/amiyatulu/shivarthu + + + + + + + +## Development Roadmap : + + + +| Number | Deliverable | Specification | +| -----: | ----------- | ------------- | +| 0a. | License | MIT | +| 0b. | Documentation | We will provide both **inline documentation** of the code and a basic **tutorial** that explains how a user about the project | +| 0c. | Testing Guide | Core functions will be fully covered by unit tests to ensure functionality and robustness. In the guide, we will describe how to run these tests. | +| 0d. | Docker | We will provide a Dockerfile(s) that can be used to test all the functionality delivered with this milestone. | +| 0e. | Article | We will publish an **article**/workshop that explains our project (what was done/achieved as part of the grant.) | +| 1. | Substrate module: Experience Evaluation | Schelling game for experience evaluation | +| 2. | Substrate Module: Approval voting| Selection of representatives through multi winner approval | +|3.| Reactjs UI for Experience Evaluation| Uploading evidence of experience for the department using IPFS, UI for commit and reveal voting for schelling game and interaction of UI with substrate | +|4.| Reactjs Approval Voting UI| Userfriendly UI for voting the representatives where their profile is shown | + + + + +### Milestone 2 — Additional features + + +| Number | Deliverable | Specification | +| -----: | ----------- | ------------- | +| 0a. | License | MIT | +| 0b. | Documentation | We will provide both **inline documentation** of the code and a basic **tutorial** that explains how a user about the project | +| 0c. | Testing Guide | Core functions will be fully covered by unit tests to ensure functionality and robustness. In the guide, we will describe how to run these tests. | +| 0d. | Docker | We will provide a Dockerfile(s) that can be used to test all the functionality delivered with this milestone. | +| 0e. | Article | We will publish an **article**/workshop that explains our project (what was done/achieved as part of the grant.) | +| 1. | Substrate module: Peer review system | Reviewing the projects using schelling game | +| 2. | Substrate module: Fund allocation | Allocating the fund using score schelling game | +| 3.| Reactjs UI for peer review system and Fund allocation | User friendly UI for reviewing the projects, schelling game voting interface, and fund allocation | +| 4. | Search Engine| Offchain search engine for project discovery and finding representatives | + + + + +## Future Plans + +Short-term: + Improve the ideas with discussing with community + Increase social media reach + Write the source code + +Long-term: + Onboard people into the app, and improve it taking feedback from the community. + Enhance the app, provide upgrades when required. + + diff --git a/docs/shivarthu/Winners.svg b/docs/shivarthu/Winners.svg new file mode 100644 index 0000000..8fc44c6 --- /dev/null +++ b/docs/shivarthu/Winners.svg @@ -0,0 +1,891 @@ + + + + + + + + image/svg+xml + + + + + + + + + Representatives Details + + + + Sadie Jefferson + Profile Link + + + Upvote + Downvote + + Ruby Griffith + Profile Link + + Approve + + + Search + Department: EducationWinners + 50 + Sadie Jefferson + Profile Link + + + Upvote + Downvote + + Steve Reid + Profile Link + + Approve + 49 + Sadie Jefferson + Profile Link + + + Upvote + Downvote + + Daisy Andrews + Profile Link + + Approve + 45 + Sadie Jefferson + Profile Link + + + Upvote + Downvote + + Antoinette Bush + Profile Link + + Approve + 40 + Sadie Jefferson + Profile Link + + + Upvote + Downvote + + Eleanor Rodgers + Profile Link + + Approve + 39 + Sadie Jefferson + Profile Link + + + Upvote + Downvote + + Pamela Walker + Profile Link + + Approve + 37 + + diff --git a/docs/shivarthu/approval_voting.svg b/docs/shivarthu/approval_voting.svg new file mode 100644 index 0000000..6e4666f --- /dev/null +++ b/docs/shivarthu/approval_voting.svg @@ -0,0 +1,568 @@ + + + + + + + + image/svg+xml + + + + + + + + + Representatives Details + + + + Sadie Jefferson + Profile Link + + + Upvote + Downvote + + Sadie Jefferson + Profile Link + + Approve + + Ruby Griffith + Profile Link + + Approve + + Johnathan Morris + Profile Link + + Approve + + Ricky Spencer + Profile Link + + Approve + + Antoinette Bush + Profile Link + + Approve + + Eleanor Rodgers + Profile Link + + Approve + + Brent Walton + Profile Link + + Approve + + Search + Department: Education + + diff --git a/docs/shivarthu/effectiveness_schelling_game.md b/docs/shivarthu/effectiveness_schelling_game.md new file mode 100644 index 0000000..f9cc9b4 --- /dev/null +++ b/docs/shivarthu/effectiveness_schelling_game.md @@ -0,0 +1,17 @@ +## Effectiveness of Schelling Game + +The Schelling game of Shivarthu is designed to incentivize participants to reveal truthful information by rewarding them based on the majority consensus. + +In the Schelling game, participants are asked to vote on the outcome of a particular event or question. They are rewarded based on the accuracy of their vote and the overall consensus among the participants. The idea is that participants will have an incentive to vote honestly in order to maximize their potential rewards. + +> The effectiveness and accuracy of the Schelling game, like any decentralized system, depend on several factors: +> +> Participation: The accuracy of the results can improve with a larger number of participants. More participants increase the diversity of perspectives,reducing the potential for bias or manipulation. +> +> Token Staking: In the protocol, participants must stake tokens as collateral, which can be lost if they vote against the majority outcome. This mechanism provides an additional incentive for participants to vote honestly. +> +> Jury Selection: It utilizes a random selection process to form a jury panel from the pool of participants. This randomness helps prevent collusion and bias within the jury. + +The accuracy of the Schelling game can vary depending on the specific context and the quality of information available. It is important to note that no system can guarantee 100% accuracy. Factors such as the complexity of the question, the availability of information, and potential manipulation attempts can influence the accuracy of the results. + +However, decentralized systems like Schelling game aim to mitigate biases and provide a fair and transparent mechanism for dispute resolution. By incentivizing truthful voting and random jury selection, Schelling game aims to achieve a reasonable level of accuracy in determining the majority consensus. 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This is only needed to run the +> `protoc` tool during the build. The build itself and the target binaries would remain native. + +Open the Terminal application and execute the following commands: + +```bash +# Install Homebrew if necessary https://brew.sh/ +/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)" + +# Make sure Homebrew is up-to-date, install openssl +brew update +brew install openssl +``` + +### Windows + +**_PLEASE NOTE:_** Native Windows development of Substrate is _not_ very well supported! It is _highly_ +recommend to use [Windows Subsystem Linux](https://docs.microsoft.com/en-us/windows/wsl/install-win10) +(WSL) and follow the instructions for [Ubuntu/Debian](#ubuntudebian). +Please refer to the separate +[guide for native Windows development](https://docs.substrate.io/main-docs/install/windows/). + +## Rust developer environment + +This guide uses installer and the `rustup` tool to manage the Rust toolchain. +First install and configure `rustup`: + +```bash +# Install +curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh +# Configure +source ~/.cargo/env +``` + +Configure the Rust toolchain to default to the latest stable version, add nightly and the nightly wasm target: + +```bash +rustup default stable +rustup update +rustup update nightly +rustup target add wasm32-unknown-unknown --toolchain nightly +``` + +## Test your set-up + +Now the best way to ensure that you have successfully prepared a computer for Substrate +development is to follow the steps in [our first Substrate tutorial](https://docs.substrate.io/tutorials/v3/create-your-first-substrate-chain/). + +## Troubleshooting Substrate builds + +Sometimes you can't get the Substrate node template +to compile out of the box. Here are some tips to help you work through that. + +### Rust configuration check + +To see what Rust toolchain you are presently using, run: + +```bash +rustup show +``` + +This will show something like this (Ubuntu example) output: + +```text +Default host: x86_64-unknown-linux-gnu +rustup home: /home/user/.rustup + +installed toolchains +-------------------- + +stable-x86_64-unknown-linux-gnu (default) +nightly-2020-10-06-x86_64-unknown-linux-gnu +nightly-x86_64-unknown-linux-gnu + +installed targets for active toolchain +-------------------------------------- + +wasm32-unknown-unknown +x86_64-unknown-linux-gnu + +active toolchain +---------------- + +stable-x86_64-unknown-linux-gnu (default) +rustc 1.50.0 (cb75ad5db 2021-02-10) +``` + +As you can see above, the default toolchain is stable, and the +`nightly-x86_64-unknown-linux-gnu` toolchain as well as its `wasm32-unknown-unknown` target is installed. +You also see that `nightly-2020-10-06-x86_64-unknown-linux-gnu` is installed, but is not used unless explicitly defined as illustrated in the [specify your nightly version](#specifying-nightly-version) +section. + +### WebAssembly compilation + +Substrate uses [WebAssembly](https://webassembly.org) (Wasm) to produce portable blockchain +runtimes. You will need to configure your Rust compiler to use +[`nightly` builds](https://doc.rust-lang.org/book/appendix-07-nightly-rust.html) to allow you to +compile Substrate runtime code to the Wasm target. + +> There are upstream issues in Rust that need to be resolved before all of Substrate can use the stable Rust toolchain. +> [This is our tracking issue](https://github.com/paritytech/substrate/issues/1252) if you're curious as to why and how this will be resolved. + +#### Latest nightly for Substrate `master` + +Developers who are building Substrate _itself_ should always use the latest bug-free versions of +Rust stable and nightly. This is because the Substrate codebase follows the tip of Rust nightly, +which means that changes in Substrate often depend on upstream changes in the Rust nightly compiler. +To ensure your Rust compiler is always up to date, you should run: + +```bash +rustup update +rustup update nightly +rustup target add wasm32-unknown-unknown --toolchain nightly +``` + +> NOTE: It may be necessary to occasionally rerun `rustup update` if a change in the upstream Substrate +> codebase depends on a new feature of the Rust compiler. When you do this, both your nightly +> and stable toolchains will be pulled to the most recent release, and for nightly, it is +> generally _not_ expected to compile WASM without error (although it very often does). +> Be sure to [specify your nightly version](#specifying-nightly-version) if you get WASM build errors +> from `rustup` and [downgrade nightly as needed](#downgrading-rust-nightly). + +#### Rust nightly toolchain + +If you want to guarantee that your build works on your computer as you update Rust and other +dependencies, you should use a specific Rust nightly version that is known to be +compatible with the version of Substrate they are using; this version will vary from project to +project and different projects may use different mechanisms to communicate this version to +developers. For instance, the Polkadot client specifies this information in its +[release notes](https://github.com/paritytech/polkadot/releases). + +```bash +# Specify the specific nightly toolchain in the date below: +rustup install nightly- +``` + +#### Wasm toolchain + +Now, configure the nightly version to work with the Wasm compilation target: + +```bash +rustup target add wasm32-unknown-unknown --toolchain nightly- +``` + +### Specifying nightly version + +Use the `WASM_BUILD_TOOLCHAIN` environment variable to specify the Rust nightly version a Substrate +project should use for Wasm compilation: + +```bash +WASM_BUILD_TOOLCHAIN=nightly- cargo build --release +``` + +> Note that this only builds _the runtime_ with the specified nightly. The rest of project will be +> compiled with **your default toolchain**, i.e. the latest installed stable toolchain. + +### Downgrading Rust nightly + +If your computer is configured to use the latest Rust nightly and you would like to downgrade to a +specific nightly version, follow these steps: + +```bash +rustup uninstall nightly +rustup install nightly- +rustup target add wasm32-unknown-unknown --toolchain nightly- +``` diff --git a/docs/shivarthu/sortition_sum_game.pdf b/docs/shivarthu/sortition_sum_game.pdf new file mode 100644 index 0000000000000000000000000000000000000000..8e1dd6899830f7e30a95dad96a7d5bd94c195014 GIT binary patch literal 549421 zcmeEv1z43?*EUEuQX&lsg4E$~4jj5eO1itdyQC4M6hyjHxp3ZR&dgHbh9<0V3snowm@Z8{PJ4B+Se(AvJ5m5pnFYRn z93}Y&6tt#}jr9L;R3p`V3<8T!7cyu7H)f(li~%D*U`uV z0Df2ewi0|9j^9e(aJ%jSx-NWe%Kk^-z&`}e!qUjz=5JdRSO7nR8ieILnEn9bH=HQ0 z>wYVJL+z{duTW$AZ%2*gXHa8dfkFX>FmV9CY(b#QJrg_Rddu-wQYfaNuXVpP{Z{;j z;xA$fAb=Ix2ge_ckNt-*{{6cW7T`YuO2|I}O4gr(lAQ&*G=KruCIkZhx=H{6044}j 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