AI MONSTER
  • AI MONSTER ($AIMON) Overview
  • AI-Generated Monsters: Technical Core (DeepSeek & Generative AI)
    • 2.1 Monster Design AI Architecture
    • 2.2 Reinforcement Learning with Human Feedback (RLHF)
    • 2.3 Multi-modal AI Training Framework
    • 2.4 FLUX Integration
    • 2.5 NFT Integration for AI Monsters
    • 2.5 Advanced NFT Minting Process
    • 2.6 Upgrading and Evolution Mechanisms
    • 2.7 GameFi and Film Production Integration
  • Solana & $AIMON Token Economy
    • 3.1 Why Solana?
    • 3.2 $AIMON Token Utility
  • AI MONSTER Use Cases
    • 4.1 Gaming & GameFi
      • 4.1.1 AI-Generated Game Entities
      • 4.1.2 Monster Training and Personalization
      • 4.1.3 Play-to-Earn (P2E) Mechanics
      • 4.1.4 AI Evolution System
    • 4.2 Film & Animation
      • 4.2.1 High-Quality CG Monster Generation
      • 4.2.2 AI-Driven Simulations for Enhanced Visual Effects
      • 4.2.3 Dynamic Scene Generation and Integration
      • 4.2.4 Workflow Integration and Production Efficiency
  • Roadmap & Future Plans
    • 5.1 Q1 - Q2 2025
    • 5.2 Q3 - Q4 2025
    • 5.3 Long-Term Vision (2026 & Beyond)
  • Join the AI MONSTER Ecosystem
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  1. AI MONSTER Use Cases
  2. 4.1 Gaming & GameFi

4.1.2 Monster Training and Personalization

Players can deeply customize their AI monsters through various mechanisms:

  1. Attribute Training

  2. Focused training sessions to improve specific stats (e.g., strength, agility)

  3. Use of in-game items or activities to boost particular attributes

  4. Skill Upgrades

  5. Unlock and enhance abilities through experience or special items

  6. Skill trees with multiple paths for diverse monster development

  7. Fusion System

  8. Combine two monsters to create a new entity with mixed traits

  9. Implement genetic algorithms for trait inheritance and mutation

  10. Visual Customization

  11. AI-generated skins and accessories

  12. Player-designed patterns and colors applied to monster models

Example: Monster Fusion System

class MonsterFusionSystem {
  constructor(monster1, monster2) {
    this.monster1 = monster1;
    this.monster2 = monster2;
  }

  async fuseMonsters() {
    const baseStats = this.combineBaseStats();
    const abilities = this.mergeAbilities();
    const appearance = await this.generateAppearance();

    return new Monster(baseStats, abilities, appearance);
  }

  combineBaseStats() {
    return {
      health: (this.monster1.health + this.monster2.health) / 2,
      attack: (this.monster1.attack + this.monster2.attack) / 2,
      defense: (this.monster1.defense + this.monster2.defense) / 2,
      speed: (this.monster1.speed + this.monster2.speed) / 2,
    };
  }

  mergeAbilities() {
    const allAbilities = [...this.monster1.abilities, ...this.monster2.abilities];
    return allAbilities
      .sort((a, b) => b.power - a.power)
      .slice(0, 4); // Keep top 4 abilities
  }

  async generateAppearance() {
    const response = await fetch('https://ai.monster.api/fuse-appearance', {
      method: 'POST',
      body: JSON.stringify({
        monster1: this.monster1.appearanceData,
        monster2: this.monster2.appearanceData
      }),
      headers: { 'Content-Type': 'application/json' }
    });
    return response.json();
  }
}

// Usage
const fusionSystem = new MonsterFusionSystem(playerMonster, wildMonster);
const fusedMonster = await fusionSystem.fuseMonsters();
player.addMonsterToTeam(fusedMonster);

This example showcases a basic monster fusion system that combines stats, abilities, and generates a new appearance using an AI API.

Previous4.1.1 AI-Generated Game EntitiesNext4.1.3 Play-to-Earn (P2E) Mechanics

Last updated 2 months ago