Simulation multi behavior NPCs in fire evacuation using emotional behavior tree
Simulation multi behavior NPCs in fire evacuation using emotional behavior tree
复制标题
利用情绪行为树模拟火灾疏散中多行为NPC
DOI：
10.1109/isemantic.2016.7873835
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
S. Sumpeno
中科院分区：
文献类型：
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作者：
Wida Praponco Subagyo;S. M. S. Nugroho;S. Sumpeno
建筑物火灾中人员的疏散过程有多个环节，其中人员安全通过建筑物的安全出口是疏散人员的主要目的。在本研究中，我们了解如何居住者的行为与情绪的影响，在建筑物火灾。情绪对决策具有重要的影响作用，它可以增加或减少理性价值，使决策趋于现实和自然。使NPC行为自然的可能性是实现多行为，并使用人工智能（AI）技术处理所有行为。人工智能体系结构必须支持多种行为，并易于重用复杂的角色行为。行为树是众多人工智能技术中可读性和可扩展性更强的行为选择机制之一。因此，我们提出实现情绪行为树（Emotional Behavior Trees）来处理受情绪影响的动态行为场景。我们已经为NPC做了一个场景，他们有情感来决定选择哪一个动作。实验结果比较了情绪对各个NPC行为的影响。
Evacuation procedure in building fire has several points, and the main destination for occupants are going through the exit door of the building safely. In this research we learn how occupants behave with the emotion influence in a building fire. Emotions have important role to affect decision making because it can increase or decrease the rational value and aim at being realistic and naturally. The possibility to make NPCs behave naturally are implement multi behavior and handle all behavior using artificial intelligence (AI) technique. AI architecture have to support variant behavior and easily to reuse for complex character behaviors. Behavior trees (BTs) is the one of many AI techniques that more readable and scalable for action selection mechanism. So, we propose to implement Emotional Behavior Trees (EmoBTs) to handle dynamic behavior scenario that influenced by emotions. We already made the scenario for NPCs, that have emotion to decide which act would be selected. The experiment result compare how each NPCs are going to act by the emotions influence.