Incentive System Documentation

Overview

The incentive system drives user engagement and ensures high-quality contributions through a sophisticated reward mechanism.

Reward Mechanisms

1. Claim Submission

def calculate_claim_reward(claim, user):
    base_reward = 1.0  # Base ALT tokens
    multipliers = {
        'reputation': get_reputation_multiplier(user),
        'complexity': analyze_claim_complexity(claim),
        'uniqueness': calculate_uniqueness_score(claim),
        'verification_speed': get_verification_speed_bonus(claim)
    }

    return base_reward * prod(multipliers.values())

2. Validation Rewards

def calculate_validation_reward(validation, user):
    base_reward = 0.5  # Base ALT tokens
    multipliers = {
        'accuracy': get_historical_accuracy(user),
        'stake': get_stake_multiplier(user),
        'speed': get_response_time_multiplier(validation),
        'consensus': get_consensus_alignment(validation)
    }

    return base_reward * prod(multipliers.values())

3. Reputation System

Scoring Factors

• Historical accuracy
• Participation frequency
• Stake amount
• Community standing

Level System

class ReputationLevel:
    NOVICE = (0, 1.0)      # 0-100 points, 1.0x multiplier
    TRUSTED = (100, 1.2)    # 100-500 points, 1.2x multiplier
    EXPERT = (500, 1.5)     # 500-1000 points, 1.5x multiplier
    MASTER = (1000, 2.0)    # 1000+ points, 2.0x multiplier

Staking Mechanism

1. Stake Levels

• Basic: 1,000 ALT
• 1.0x reward multiplier

• Basic validation rights

• Premium: 10,000 ALT

• 1.2x reward multiplier

• Premium features access

• Enterprise: 100,000 ALT

• 1.5x reward multiplier
• Governance rights
• Custom API access

2. Slashing Conditions

def check_slashing_conditions(validator):
    conditions = {
        'incorrect_validations': max(0, validator.incorrect_count - 3),
        'downtime': calculate_downtime_penalty(validator),
        'malicious_behavior': detect_manipulation(validator)
    }

    return sum(conditions.values()) * stake_amount

Governance Integration

1. Voting Power

def calculate_voting_power(user):
    return (
        user.stake_amount * 
        user.reputation_multiplier * 
        user.participation_factor
    )

2. Proposal System

• Creation cost: 1000 ALT
• Minimum stake: 10,000 ALT
• Voting period: 7 days
• Implementation delay: 2 days

Anti-Gaming Measures

1. Rate Limiting

class RateLimits:
    CLAIMS_PER_DAY = 10
    VALIDATIONS_PER_HOUR = 20
    STAKE_WITHDRAWAL_DELAY = 72  # hours

2. Collusion Detection

• Network analysis
• Behavior pattern matching
• IP tracking
• Wallet clustering

3. Penalties

• Reputation reduction
• Reward freezing
• Stake slashing
• Platform banning

Analytics & Reporting

1. User Metrics

• Earnings history
• Reputation growth
• Stake performance
• Validation accuracy

2. System Metrics

• Total rewards distributed
• Active validator count
• Average stake time
• Governance participation

Integration Examples

JavaScript

const incentiveManager = new AlisChainIncentive(config);

// Calculate potential rewards
const reward = await incentiveManager.calculateReward({
    action: 'validation',
    user: userId,
    stake: stakeAmount,
    reputation: reputationScore
});

Python

from alischain.incentives import IncentiveManager

manager = IncentiveManager()

# Process validation reward
reward = manager.process_validation(
    validator_id=user_id,
    claim_id=claim_id,
    validation_result=result
)

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Last update: 2024-12-08