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以生物学理论为依据,从人工智能和人工生命相结合的角度提出了人工鱼的高级行为规划和运动模型。高级行为规划即设计多种行为序列以实现当前意图,使人工鱼能够根据不同的环境条件选择相应的行为策略。运动模型在高级行为规划指导下,将行为序列分解为具体动作来执行,作用于环境。人工鱼的运动由饥饿度、危险度等内部状态驱动,并受体力的影响。仿真实验表明该模型能够更合理、有效地模拟真实鱼类的生命特征和智能行为。
Based on the biological theory, this paper proposes the advanced behavioral planning and movement model of artificial fish from the perspective of the combination of artificial intelligence and artificial life. Advanced behavioral planning is to design a variety of behavioral sequences to achieve the current intent, so that artificial fish can choose the appropriate behavior strategy according to different environmental conditions. Under the guidance of advanced behavioral planning, the exercise model decomposes the sequence of behaviors into concrete actions to perform and act on the environment. The movement of artificial fish is driven by the internal state of hunger, risk, etc., and is influenced by body forces. Simulation results show that this model can more rationally and effectively simulate the life characteristics and intelligent behavior of real fish.