Artificial life with autonomously emerging boundaries

Yukio Gunji, Norio Kon-no

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

The boundary conditions of biological systems are not controllable, due to the perpetual disequilibration of force. This means that the possibilities for the future are open (i.e. one-to-many mapping). However, the future is uniquely determined a posteriori. We argue that such an idea is a basic concept for biological and evolutionary systems and implies unprogrammable systems. But it cannot be described only in a forward-time description. We propose a model in which the uncontrollable boundaries can be described in introducing a backward-time dynamics (a posteriori description). With respect to the extent of the controllability of boundary conditions, systems are classified into constant, microscopic, macroscopic, and disequilibrium systems. In the last, the local transition rule is perpetually transformed as time progresses, due to the uncontrollable microscopic boundary conditions. Our paradigm deviates from the Newtonian paradigm (i.e. the paradigm of prediction), and its purpose is not to describe the physics of being but to describe that of becoming (evolution).

Original languageEnglish
Pages (from-to)271-298
Number of pages28
JournalApplied Mathematics and Computation
Volume43
Issue number3
DOIs
Publication statusPublished - 1991
Externally publishedYes

Fingerprint

Artificial Life
Boundary conditions
Paradigm
Biological systems
Controllability
One to many
Physics
Biological Systems
Imply
Prediction

ASJC Scopus subject areas

  • Applied Mathematics
  • Computational Mathematics
  • Numerical Analysis

Cite this

Artificial life with autonomously emerging boundaries. / Gunji, Yukio; Kon-no, Norio.

In: Applied Mathematics and Computation, Vol. 43, No. 3, 1991, p. 271-298.

Research output: Contribution to journalArticle

@article{f9d400cb30c046cb866a241bf068352c,
title = "Artificial life with autonomously emerging boundaries",
abstract = "The boundary conditions of biological systems are not controllable, due to the perpetual disequilibration of force. This means that the possibilities for the future are open (i.e. one-to-many mapping). However, the future is uniquely determined a posteriori. We argue that such an idea is a basic concept for biological and evolutionary systems and implies unprogrammable systems. But it cannot be described only in a forward-time description. We propose a model in which the uncontrollable boundaries can be described in introducing a backward-time dynamics (a posteriori description). With respect to the extent of the controllability of boundary conditions, systems are classified into constant, microscopic, macroscopic, and disequilibrium systems. In the last, the local transition rule is perpetually transformed as time progresses, due to the uncontrollable microscopic boundary conditions. Our paradigm deviates from the Newtonian paradigm (i.e. the paradigm of prediction), and its purpose is not to describe the physics of being but to describe that of becoming (evolution).",
author = "Yukio Gunji and Norio Kon-no",
year = "1991",
doi = "10.1016/0096-3003(91)90012-C",
language = "English",
volume = "43",
pages = "271--298",
journal = "Applied Mathematics and Computation",
issn = "0096-3003",
publisher = "Elsevier Inc.",
number = "3",

}

TY - JOUR

T1 - Artificial life with autonomously emerging boundaries

AU - Gunji, Yukio

AU - Kon-no, Norio

PY - 1991

Y1 - 1991

N2 - The boundary conditions of biological systems are not controllable, due to the perpetual disequilibration of force. This means that the possibilities for the future are open (i.e. one-to-many mapping). However, the future is uniquely determined a posteriori. We argue that such an idea is a basic concept for biological and evolutionary systems and implies unprogrammable systems. But it cannot be described only in a forward-time description. We propose a model in which the uncontrollable boundaries can be described in introducing a backward-time dynamics (a posteriori description). With respect to the extent of the controllability of boundary conditions, systems are classified into constant, microscopic, macroscopic, and disequilibrium systems. In the last, the local transition rule is perpetually transformed as time progresses, due to the uncontrollable microscopic boundary conditions. Our paradigm deviates from the Newtonian paradigm (i.e. the paradigm of prediction), and its purpose is not to describe the physics of being but to describe that of becoming (evolution).

AB - The boundary conditions of biological systems are not controllable, due to the perpetual disequilibration of force. This means that the possibilities for the future are open (i.e. one-to-many mapping). However, the future is uniquely determined a posteriori. We argue that such an idea is a basic concept for biological and evolutionary systems and implies unprogrammable systems. But it cannot be described only in a forward-time description. We propose a model in which the uncontrollable boundaries can be described in introducing a backward-time dynamics (a posteriori description). With respect to the extent of the controllability of boundary conditions, systems are classified into constant, microscopic, macroscopic, and disequilibrium systems. In the last, the local transition rule is perpetually transformed as time progresses, due to the uncontrollable microscopic boundary conditions. Our paradigm deviates from the Newtonian paradigm (i.e. the paradigm of prediction), and its purpose is not to describe the physics of being but to describe that of becoming (evolution).

UR - http://www.scopus.com/inward/record.url?scp=0002971708&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0002971708&partnerID=8YFLogxK

U2 - 10.1016/0096-3003(91)90012-C

DO - 10.1016/0096-3003(91)90012-C

M3 - Article

AN - SCOPUS:0002971708

VL - 43

SP - 271

EP - 298

JO - Applied Mathematics and Computation

JF - Applied Mathematics and Computation

SN - 0096-3003

IS - 3

ER -