单个伯努利球和集体伯努利球的稳定性和行为多样性

IF 1.6 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Artificial Life Pub Date : 2023-03-01 DOI:10.1162/artl_a_00395
Toby Howison;Harriet Crisp;Simon Hauser;Fumiya Iida
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引用次数: 0

摘要

表达多种行为的能力是大多数生物系统的关键要求。在自然界中,行为多样性的基础是大脑、身体和环境之间的具体相互作用。动态系统是具身主体的基础,无需任何常规计算就能表达复杂的行为模式。虽然有大量的研究集中在设计具有复杂行为的动态系统代理,例如被动行走,但对如何驱动此类系统行为的多样性的理解仍然有限。在本文中,我们提出了一个新的硬件平台,用于研究动态系统中个体和集体行为多样性的出现。该平台基于所谓的伯努利球,这是一种优雅的流体动力学现象,球形物体在气流中自我稳定并悬停。我们演示了如何通过调节环境,在单个悬停球的情况下诱导行为多样性。然后,我们展示了在相同的气流中有多个悬停球是如何触发更多不同的行为的。我们在具身智能和开放式进化的背景下讨论了这一点,表明该系统表现出一种基本形式的进化动力学,在这种进化动力学中,球竞争环境的有利区域,并根据它们在气流内外的位置表现出内在的“活”和“死”状态。
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On the Stability and Behavioral Diversity of Single and Collective Bernoulli Balls
The ability to express diverse behaviors is a key requirement for most biological systems. Underpinning behavioral diversity in the natural world is the embodied interaction between the brain, body, and environment. Dynamical systems form the basis of embodied agents, and can express complex behavioral modalities without any conventional computation. While significant study has focused on designing dynamical systems agents with complex behaviors, for example, passive walking, there is still a limited understanding about how to drive diversity in the behavior of such systems. In this article, we present a novel hardware platform for studying the emergence of individual and collective behavioral diversity in a dynamical system. The platform is based on the so-called Bernoulli ball, an elegant fluid dynamics phenomenon in which spherical objects self-stabilize and hover in an airflow. We demonstrate how behavioral diversity can be induced in the case of a single hovering ball via modulation of the environment. We then show how more diverse behaviors are triggered by having multiple hovering balls in the same airflow. We discuss this in the context of embodied intelligence and open-ended evolution, suggesting that the system exhibits a rudimentary form of evolutionary dynamics in which balls compete for favorable regions of the environment and exhibit intrinsic “alive” and “dead” states based on their positions in or outside of the airflow.
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来源期刊
Artificial Life
Artificial Life 工程技术-计算机:理论方法
CiteScore
4.70
自引率
7.70%
发文量
38
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.
期刊最新文献
Complexity, Artificial Life, and Artificial Intelligence. Neurons as Autoencoders. Evolvability in Artificial Development of Large, Complex Structures and the Principle of Terminal Addition. Investigating the Limits of Familiarity-Based Navigation. Network Bottlenecks and Task Structure Control the Evolution of Interpretable Learning Rules in a Foraging Agent.
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