Believable NPCs in serious games: HTN planning approach based on visual perception

2014 IEEE Conference on Computational Intelligence and Games Pub Date : 2014-10-23 DOI:10.1109/CIG.2014.6932891

I. Mahmoud, Lianchao Li, D. Wloka, Mostafa Z. Ali

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引用次数: 7

Abstract

On the way of the creation of virtual autonomous characters that are lifelike, intelligent and convey empathy, a strategic planning architecture is presented in the domain of serious games, where games are designed and built for an educational primary purpose other than pure entertainment. Our serious game is in the domain of emergency management; firefighters and first responders in accidents situations. Two contributions are presented in this paper; firstly, a visual perception system for non-player characters (NPCs) along with a short-term memory (working memory) are implemented so that NPCs will have access to only limited information and have to build their plans and make their decisions based on what they can perceive from their surrounding environment. Secondly, an HTN planning approach is implemented based on SHOP for the domain of our serious game. Five modules were developed in this part; Controller, World Model, Domain, Interface and HTN Planner. The plan is generated online based on the information gathered from the visual perception system and stored in the working memory. Our experiment shows the effectiveness of the proposed approach to create believable NPC behavior.

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严肃游戏中可信的npc:基于视觉感知的HTN规划方法

在创造逼真、智能且具有移情作用的虚拟自主角色的过程中，严肃游戏领域呈现出一种战略规划架构，即游戏的设计和制作主要是出于教育目的，而非纯粹的娱乐目的。我们的严肃游戏是在应急管理领域;消防队员和事故现场的急救人员。本文提出了两个贡献;首先，非玩家角色(npc)的视觉感知系统与短期记忆(工作记忆)结合在一起，这样npc只能获得有限的信息，必须根据他们对周围环境的感知来制定计划和做出决定。其次，针对我们的严肃游戏领域，基于SHOP实现了一种HTN规划方法。本部分共开发了五个模块;控制器、世界模型、域、接口和HTN规划器。计划是根据从视觉感知系统收集的信息在线生成的，并存储在工作记忆中。我们的实验证明了所提出的方法在创造可信的NPC行为方面的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2014 IEEE Conference on Computational Intelligence and Games

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