Introduction
1.1 AIVille**: AI-Driven Virtual Human Society**
Artificial Intelligence (AI) is reshaping the gaming industry, transitioning from simple NPC scripting to the introduction of intelligent AI agents. We are moving towards a new era of virtual societies, where AI agents are not just executing predefined tasks but learning, reasoning, adapting, and engaging in real-world interactions.
In AIVille, each AI agent possesses:
- An Independent Cognitive System: AI characters can perceive the environment, remember past experiences, and apply these memories to future decisions.
- Dynamic Behavioral Logic: AI characters can adjust plans, formulate strategies, and even influence the entire virtual society based on changes in their surroundings.
- Real Social Relationships: AI characters can develop friendships, engage in competition, and collaborate, influencing the game economy, market transactions, and community governance.
In AIVille, AI agents are not just background elements of the game world; they are independent social members with their own goals, personalities, and ability to evolve, co-creating the game world alongside human players.
1.2 Behavior Modeling of AI Agents
Traditional NPCs in games are often limited by preset scripts, making them unable to adapt to environmental changes or engage in deep player interaction. AIVilleadopts Generative AI technology, allowing AI agents to exhibit situational awareness, reasoning, and autonomous decision-making, making their behavior closer to real human interactions.
AIVille’s AI agents possess three core capabilities:
a. Individual Intelligence
- Memory Storage: Virtual humans can remember past experiences and consolidate them into long-term memory.
- Behavior Planning: AI agents form daily plans based on their goals, experience, and current environment (e.g., “Go to the market today” or “Visit a friend”).
- Adaptive Learning: AI agents adjust their decisions based on environmental changes, such as market price fluctuations affecting the sales strategies of AI merchants.
b. Social Intelligence
- Interaction Ability: AI agents can engage in natural language conversations and adjust their decisions based on dialogue content.
- Social Relationships: AI agents form friendships, competition, and collaborations, adjusting their relationships based on past interactions.
- Group Behavior: AI agents can make collective decisions, such as protesting against rising market taxes.