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
中图分类号:
张淑军;班晓娟;陈 勇;陈 戈. 基于记忆的人工鱼认知模型[J]. 计算机工程, 2007, 33(19): 33-35,3.
ZHANG Shu-jun; BAN Xiao-juan; CHEN Yong; CHEN Ge. Memory-based Cognitive Model of Artificial Fish[J]. Computer Engineering, 2007, 33(19): 33-35,3.