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计算机工程 ›› 2007, Vol. 33 ›› Issue (19): 33-35,3. doi: 10.3969/j.issn.1000-3428.2007.19.011

• 博士论文 • 上一篇    下一篇

基于记忆的人工鱼认知模型

张淑军1,2,班晓娟2,陈 勇1,陈 戈1   

  1. (1. 中国海洋大学海洋遥感所海洋遥感教育部重点实验室,青岛 266003;2. 北京科技大学信息工程学院,北京 100083)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-10-05 发布日期:2007-10-05

Memory-based Cognitive Model of Artificial Fish

ZHANG Shu-jun1,2, BAN Xiao-juan2, CHEN Yong1, CHEN Ge1   

  1. (1. Key Lab of Ocean Remote Sensing, Ministry of Education, Ocean Remote Sensing Institute, Ocean University of China, Qingdao 266003; 2. School of Information Engineering, University of Science &Technology Beijing, Beijing 100083)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-10-05 Published:2007-10-05

摘要: 为丰富虚拟海洋环境中人工鱼的认知能力,以自然鱼的生物原理和记忆机制为理论依据,提出了一种基于记忆的人工鱼认知模型。信息在瞬时记忆、短时记忆和长时记忆3个阶段传输和存储,人工鱼通过聚焦器提取所关注的感知信息,通过决策器和短时记忆进行行为选择,将经验知识存储在长时记忆中,被短时记忆调用以优化当前决策。动画结果表明,采用此模型后人工鱼能产生记忆指导下的行为,表现出更真实更智能的生命特征。

关键词: 人工鱼, 记忆, 认知模型, 聚焦, 决策

Abstract: In order to enrich the cognitive ability of artificial fish in virtual marine environment, this paper proposes a memory-based cognitive model of artificial fish according to the biological principle and memory mechanism of natural fish. Information is transferred and stored during the three stages: ultra short-term memory(USTM), short-term memory(STM) and long-term memory(LTM). Artificial fish uses the focuser to extract the interested sensory information, and uses the decision-maker and STM to select behaviors and stores the experience knowledge to LTM which is called by STM to optimize current decision-making. Animation results show that artificial fish with this model can have memory-directed behaviors and display more vivid and intelligent life properties.

Key words: artificial fish, memory, cognitive model, focus, decision-making

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