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Multi-agent modeling methods for massivley Multi-Player On-Line Role-Playing Games

机译：Massivley多层在线角色扮演游戏的多主体建模方法

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Massively Multi-Player On-Line Role-Playing Games (MMORPG) give us the opportunity to study two important aspects of computing: (1) large-scale virtual social interaction of people (players) and (2) the design, development and coordination of large-scale distributed artificial intelligence (AI). A common denominator for both aspects are the methods used to study them: social interaction can be described and simulated using agent-based models (ABM) whilst distributed AI is commonly modeled in terms of multi-agent systems (MAS). The important question to ask in both perspectives is how do agents organize in order to perform their tasks and reach their objectives? In the following paper we will present and overview of agent-based approaches to modeling MMORPG's agents including human players, artificial players (bots) and non-playing characters (NPCs). We will put a special accent on useful agent behaviors, coordination and consensus mechanisms as well as organization and social network structure of agent societies.
机译：大型多人在线角色扮演游戏（MMORPG）使我们有机会研究计算机的两个重要方面：（1）人（玩家）的大规模虚拟社交互动;以及（2）设计，开发和协调大规模分布式人工智能（AI）。这两个方面的共同点是研究它们的方法：可以使用基于代理的模型（ABM）描述和模拟社交互动，而通常根据多代理系统（MAS）对分布式AI进行建模。两种观点都需要问的重要问题是代理商如何组织才能执行任务并达到目标？在接下来的论文中，我们将介绍和概述基于代理的方法来对MMORPG的代理进行建模，包括人类玩家，人工玩家（机器人）和非游戏角色（NPC）。我们将特别强调代理人的有用行为，协调和共识机制以及代理人社团的组织和社交网络结构。

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