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Development and Experiment of a Revolutionary Experimental System for a study of Extended Artificial Life systems

用于研究延长人工生命系统的革命性实验系统的开发和实验

基本信息

批准号：
22650044
负责人：
IKEGAMI Takashi
金额：
$ 2.02万
依托单位：
The University of Tokyo
依托单位国家：
日本
项目类别：
Grant-in-Aid for Challenging Exploratory Research
财政年份：
2010
资助国家：
日本
起止时间：
2010 至 2011
项目状态：
已结题

项目摘要

Artificial Life technology aims to help people expand their experiences in everyday life ; that is, it is a design for new affordances. The environment offers people ways to interact with it, which we call affordances. When we experience something new, we remember it by the way we perceive and interact with it. Recent studies in neuroscience have revealed the idea of a default mode network, which is a baseline activity of a brain system. The autonomy of artificial life must be understood as a sort of default mode that self-organizes its baseline activity, preparing for the external inputs and interacting with humans. We thus propose a method for creating a suitable default mode as a design principle for living technology. We built a machine called the "MTM," the Mind Time Machine, which runs continuously for ten hours per day and receives visual data from its environment using 15 video cameras. The MTM receives and edits the video inputs while it self-organizes the momentary now. Its base program is a neural network that includes chaotic dynamics inside the system and a meta-network that consists of video feedback systems. Using this system as the hardware and a "default mode network" as a conceptual framework, we would like to describe the system's autonomous behavior. Using the MTM as a testing ground, we propose a design principle for living technology as an application of artificial life studies.

人工生命技术旨在帮助人们扩展日常生活经验；也就是说，它是一种新功能可供性的设计。环境为人们提供了与之互动的方式，我们称之为可供性。当我们体验新事物时，我们会通过感知和互动的方式来记住它。最近的神经科学研究揭示了默认模式网络的概念，它是大脑系统的基线活动。人工生命的自主性必须被理解为一种默认模式，它自组织其基线活动，为外部输入做好准备并与人类互动。因此，我们提出了一种创建合适的默认模式的方法，作为生活技术的设计原则。我们建造了一台名为“MTM”的机器，即 Mind Time Machine，它每天连续运行 10 个小时，并使用 15 个摄像机从其环境中接收视觉数据。 MTM 接收并编辑视频输入，同时自动组织瞬间。其基本程序是一个神经网络，其中包括系统内部的混沌动力学和由视频反馈系统组成的元网络。使用该系统作为硬件并使用“默认模式网络”作为概念框架，我们希望描述系统的自主行为。使用 MTM 作为试验场，我们提出了生命技术的设计原则，作为人工生命研究的应用。