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。
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.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第19期33-35,38,共4页
Computer Engineering
基金
国家自然科学基金资助项目(60503024)
海洋遥感教育部重点实验室开放基金资助项目(2005-01)
关键词
人工鱼
记忆
认知模型
聚焦
决策
artificial fish
memory
cognitive model
focus
decision-making
