129 citations · 356 across the 26 of their papers we have counts for
26 papers
Adaptability and Homeostasis in the Game of Life interacting with the evolved Cellular Automata
Keisuke Suzuki, Takashi Ikegami
In this paper we study the emergence of homeostasis in a two-layer system of the Game of Life, in which the Game of Life in the first layer couples with another system of cellular…
Implementation of Lenia as a Reaction-Diffusion System
Hiroki Kojima, Takashi Ikegami
The relationship between reaction-diffusion (RD) systems, characterized by continuous spatiotemporal states, and cellular automata (CA), marked by discrete spatiotemporal states, r…
Organization of a Latent Space structure in VAE/GAN trained by navigation data
Hiroki Kojima, Takashi Ikegami
We present a novel artificial cognitive mapping system using generative deep neural networks, called variational autoencoder/generative adversarial network (VAE/GAN), which can map…
Neural Autopoiesis: Organizing Self-Boundary by Stimulus Avoidance in Biological and Artificial Neural Networks
Atsushi Masumori, Lana Sinapayen, Norihiro Maruyama +5
Living organisms must actively maintain themselves in order to continue existing. Autopoiesis is a key concept in the study of living organisms, where the boundaries of the organis…
Predictive Coding as Stimulus Avoidance in Spiking Neural Networks
Atsushi Masumori, Lana Sinapayen, Takashi Ikegami
Predictive coding can be regarded as a function which reduces the error between an input signal and a top-down prediction. If reducing the error is equivalent to reducing the influ…
An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue
Norman Packard, Mark A. Bedau, Alastair Channon +4
Nature's spectacular inventiveness, reflected in the enormous diversity of form and function displayed by the biosphere, is a feature of life that distinguishes living most strongl…