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Morphology and Behaviour Evolution of Virtual Creatures: A Model Based on Swarm Inteligence

机译:虚拟生物的形态和行为演化:基于群体智能的模型

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In this work we evolution the morphology and the behavior of the virtual creatures. The morphology is defined by rigid bodies as capsules, cylinders, cones, spheres, or parallelepipeds, and the mass and size may change. The rigid bodies are joined by spherical joints with customizable restrictions of angular limits within a given range in each degree of freedom, so to model any type of rotational joint. The behavior is modeled by an Artificial Neural Network, which receives data from all sensors and transmits the amount of moment of force that must be exerted by each effector, so to induce motion to the creature. Finally, the evolution of morphology and behavior is carried out using Particle Swarm Optimization (PSO), where each particle encodes the morphology and behavior of one creature. In this way, this paper proposes a co-evolutionary process where the behavior and the morphology of the creatures are defined.
机译:在这项工作中,我们进化了虚拟生物的形态和行为。形态由刚体定义为胶囊,圆柱体,圆锥体,球体或平行六面体,并且质量和尺寸可能会发生变化。刚性体通过球形接头连接在一起,球形接头在每个自由度的给定范围内具有可定制的角度限制限制,因此可以对任何类型的旋转接头建模。该行为由一个人工神经网络建模,该网络从所有传感器接收数据并传输每个效应器必须施加的一定量的力矩,以便向生物诱导运动。最后,使用粒子群优化(PSO)进行形态和行为的演化,其中每个粒子都编码一个生物的形态和行为。通过这种方式,本文提出了一个共同进化过程,其中定义了生物的行为和形态。

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