外包控制要求控制复杂。

IF 1.6 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Artificial Life Pub Date : 2024-06-20 DOI:10.1162/artl_a_00443
Carlotta Langer, Nihat Ay
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引用次数: 0

摘要

一个具身代理会影响其所处的环境,同时也会受到环境的影响。我们使用传感器运动环路来模拟这些交互作用,并通过信息论措施来量化系统中的信息流。这包括对代理的身体与环境之间的交互作用的测量,通常称为形态计算。此外,我们还研究了控制器的复杂性,这可以从意识的综合信息理论的角度来看待。将这一框架应用到模拟代理的实验环境中,我们就能分析代理与其环境之间的互动关系,以及其控制器的复杂性。以往的研究表明,与任务相适应的形态可以大大降低控制器所需的复杂度。在这项工作中,我们发现,要想与周围环境良好互动,代理首先必须了解环境的相关动态。因此,增加控制器的复杂性可以促进机器人身体与环境之间更好的互动。
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Outsourcing Control Requires Control Complexity.

An embodied agent influences its environment and is influenced by it. We use the sensorimotor loop to model these interactions and quantify the information flows in the system by information-theoretic measures. This includes a measure for the interaction among the agent's body and its environment, often referred to as morphological computation. Additionally, we examine the controller complexity, which can be seen in the context of the integrated information theory of consciousness. Applying this framework to an experimental setting with simulated agents allows us to analyze the interaction between an agent and its environment, as well as the complexity of its controller. Previous research revealed that a morphology adapted well to a task can substantially reduce the required complexity of the controller. In this work, we observe that the agents first have to understand the relevant dynamics of the environment to interact well with their surroundings. Hence an increased controller complexity can facilitate a better interaction between an agent's body and its environment.

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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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