Evaluating the models and behaviour of 3D intelligent virtual animals in a predator-prey relationship
Evaluating the models and behaviour of 3D intelligent virtual animals in a predator-prey relationship
复制标题
评估捕食者-猎物关系中 3D 智能虚拟动物的模型和行为
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Nader Hanna
中科院分区：
文献类型：
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作者：
Deborah Richards;M. Jacobson;John Porte;Charlotte E. Taylor;Meredith Taylor;A. Newstead;Iwan Kelaiah;Nader Hanna
本文介绍了居住在Omosa虚拟学习环境中的智能虚拟动物，以帮助中学生学习如何进行科学探究和获得生物学概念。Omosa支持多种代理，包括动物、植物和人类猎人，它们生活在不同大小的群体中，并与其他代理类型（物种）保持捕食者-猎物关系。在本文中，我们提出了我们的通用代理架构和驱动所有动物的算法。我们集中研究了两种动物，以展示不同的参数值如何影响它们的运动和群体间/群体内的互动。包括两个评估研究：一个是展示我们的建筑的不同组成部分的影响；另一个是提供领域专家对动物行为的验证。
This paper presents the intelligent virtual animals that inhabit Omosa, a virtual learning environment to help secondary school students learn how to conduct scientific inquiry and gain concepts from biology. Omosa supports multiple agents, including animals, plants, and human hunters, which live in groups of varying sizes and in a predator-prey relationship with other agent types (species). In this paper we present our generic agent architecture and the algorithms that drive all animals. We concentrate on two of our animals to present how different parameter values affect their movements and inter/intra-group interactions. Two evaluations studies are included: one to demonstrate the effect of different components of our architecture; another to provide domain expert validation of the animal behavior.