环境变化的历史如何影响可进化机器人种群的特征

IF 1.6 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Artificial Life Pub Date : 2022-06-28 DOI:10.1162/artl_a_00379

Karine Miras;A. E. Eiben

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引用次数: 0

摘要

环境是智能生物出现的关键因素之一，但它在进化机器人学文献中很少受到关注。本文研究了环境变化对可进化机器人形态和行为特征的影响。特别地，我们扩展了先前的研究，通过在不同的变化环境设置下进化机器人种群，改变变化的幅度、频率、持续时间和动态。结果表明，早期世代的长期影响不仅发生在从容易到困难的过渡过程中，也发生在从困难到容易的过渡过程中。此外，我们证明了环境脚手架的影响是如何依赖于所涉及的环境变化的性质。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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How the History of Changing Environments Affects Traits of Evolvable Robot Populations

The environment is one of the key factors in the emergence of intelligent creatures, but it has received little attention within the Evolutionary Robotics literature. This article investigates the effects of changing environments on morphological and behavioral traits of evolvable robots. In particular, we extend a previous study by evolving robot populations under diverse changing-environment setups, varying the magnitude, frequency, duration, and dynamics of the changes. The results show that long-lasting effects of early generations occur not only when transitioning from easy to hard conditions, but also when going from hard to easy conditions. Furthermore, we demonstrate how the impact of environmental scaffolding is dependent on the nature of the environmental changes involved.

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来源期刊

Artificial Life 工程技术-计算机：理论方法

CiteScore

4.70

自引率

7.70%

发文量

审稿时长

>12 weeks

期刊介绍： Artificial Life, launched in the fall of 1993, has become the unifying forum for the exchange of scientific information on the study of artificial systems that exhibit the behavioral characteristics of natural living systems, through the synthesis or simulation using computational (software), robotic (hardware), and/or physicochemical (wetware) means. Each issue features cutting-edge research on artificial life that advances the state-of-the-art of our knowledge about various aspects of living systems such as: Artificial chemistry and the origins of life Self-assembly, growth, and development Self-replication and self-repair Systems and synthetic biology Perception, cognition, and behavior Embodiment and enactivism Collective behaviors of swarms Evolutionary and ecological dynamics Open-endedness and creativity Social organization and cultural evolution Societal and technological implications Philosophy and aesthetics Applications to biology, medicine, business, education, or entertainment.