Exploring the Adaptive Behaviors of Particle Lenia: A Perturbation-Response Analysis for Computational Agency

Fuente: arXiv
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Main Authors: Horibe, Kazuya, Suzuki, Keisuke, Horii, Takato, Ishiguro, Hiroshi
Format: Preprint
Published: 2023
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author Horibe, Kazuya
Suzuki, Keisuke
Horii, Takato
Ishiguro, Hiroshi
author_facet Horibe, Kazuya
Suzuki, Keisuke
Horii, Takato
Ishiguro, Hiroshi
contents A firm cognitive subject or ``individual'' is presupposed for the emergence of mind. However, with the development of recent information technology, the ``individual'' has become more dispersed in society and the cognitive subject has become increasingly unstable and adaptive, necessitating an update in our understanding of the ``individual''. Autopoiesis serves as a model of the cognitive subject, which is unstable and requires effort to maintain itself to adapt to the environment. In this study, we evaluated adaptivity for a highly extensible multi-particle system model Particle Lenia through the response perturbation. As a result, we found that Particle Lenia has a particle configuration that is both temporally unstable and has multiple stable states. This result suggests that Particle Lenia can express adaptive characteristics and is expected to be used as a computational model toward building an autopoietic cognitive agent.
format Preprint
id arxiv_https___arxiv_org_abs_2305_16706
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Exploring the Adaptive Behaviors of Particle Lenia: A Perturbation-Response Analysis for Computational Agency
Horibe, Kazuya
Suzuki, Keisuke
Horii, Takato
Ishiguro, Hiroshi
Adaptation and Self-Organizing Systems
Pattern Formation and Solitons
A firm cognitive subject or ``individual'' is presupposed for the emergence of mind. However, with the development of recent information technology, the ``individual'' has become more dispersed in society and the cognitive subject has become increasingly unstable and adaptive, necessitating an update in our understanding of the ``individual''. Autopoiesis serves as a model of the cognitive subject, which is unstable and requires effort to maintain itself to adapt to the environment. In this study, we evaluated adaptivity for a highly extensible multi-particle system model Particle Lenia through the response perturbation. As a result, we found that Particle Lenia has a particle configuration that is both temporally unstable and has multiple stable states. This result suggests that Particle Lenia can express adaptive characteristics and is expected to be used as a computational model toward building an autopoietic cognitive agent.
title Exploring the Adaptive Behaviors of Particle Lenia: A Perturbation-Response Analysis for Computational Agency
topic Adaptation and Self-Organizing Systems
Pattern Formation and Solitons
url https://arxiv.org/abs/2305.16706