Raczynski Stanislaw
Universidad Panamericana, Mexico City, Mexico.
Nonlinear Dynamics Psychol Life Sci. 2019 Jul;23(3):331-345.
The problem being investigated is the spontaneous rise of the herd instinct in an artificial population, where the population members have no explicit stimuli for such instinct implanted in their original behavior patterns. The simulations are focused on the creation of the herd instinct in the population that originally does not reveal the gregarious behavior. In this agent-based model, the members of the population (agents) move over a limited region, look for renewable food, reproduce, escape a threat and die. The evolution of the herd instinct is simulated. No explicit instinct is imposed on the agents. It is pointed out that both the search for food and fear, are factors that cause the rise of the herd instinct. The evolution of the amount of the instinct is slow and needs long model time intervals, running over several hundred generations of the agents. The herd instinct is inherited from parent agents during the reproduction, with certain random deviation. This makes the total amount of the instinct evolve and reach an optimal level.
正在研究的问题是人工群体中群体本能的自发兴起，在这个群体中，群体成员在其原始行为模式中没有植入引发这种本能的明确刺激因素。模拟的重点是在原本不表现出群居行为的群体中创造群体本能。在这个基于智能体的模型中，群体成员（智能体）在有限区域内移动、寻找可再生食物、繁殖、逃避威胁并死亡。模拟了群体本能的演变。没有对智能体施加明确的本能。研究指出，对食物的搜寻和恐惧都是导致群体本能兴起的因素。本能数量的演变很缓慢，需要很长的模型时间间隔，运行几百代智能体。群体本能在繁殖过程中从亲代智能体遗传而来，存在一定的随机偏差。这使得本能的总量得以演变并达到最优水平。
