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A design for living technology: experiments with the mind time machine.

Takashi Ikegami1

  • 1University of Tokyo.

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Summary
This summary is machine-generated.

Living technology enhances daily experiences by designing new affordances. This study proposes a default mode network design principle for artificial life, using a Mind Time Machine to self-organize autonomous behavior.

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Area of Science:

  • Human-Computer Interaction
  • Artificial Life
  • Neuroscience

Background:

  • Living technology aims to expand human experiences through novel interactions.
  • Environmental interactions are understood as affordances, which living technology seeks to create.
  • Neuroscience research has identified the default mode network (DMN) as a baseline brain activity.

Purpose of the Study:

  • To propose a design principle for living technology based on the concept of a default mode network.
  • To explore the autonomous behavior of artificial life systems.
  • To establish a framework for self-organizing baseline activity in artificial systems.

Main Methods:

  • Development of the Mind Time Machine (MTM), a system running 10 hours daily.
  • Utilizing 15 video cameras for environmental data input to the MTM.
  • Implementing a neural network with chaotic dynamics and a meta-network with video feedback for self-organization.

Main Results:

  • The MTM self-organizes its 'momentary now' by processing and editing visual inputs.
  • The system exhibits autonomous behavior, conceptualized through the default mode network framework.
  • Demonstration of a self-organizing baseline activity in an artificial life system.

Conclusions:

  • A default mode network serves as a viable design principle for living technology.
  • The Mind Time Machine provides a platform for testing and understanding autonomous systems.
  • This research contributes a novel approach to designing interactive and adaptive artificial life.