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Modeling Virtual Ecosystems that Consist of Artificial Organisms and Their Environment

인공생명체와 그들을 둘러싸는 환경으로 구성 되어지는 가상생태계 모델링

  • Lee, Sang-Hee (Division of Fusion Convergence of Mathematical Sciences, National Institute for Mathematical Sciences)
  • 이상희 (국가수리과학연구소 융복합수리과학부)
  • Received : 2010.06.15
  • Accepted : 2010.06.28
  • Published : 2010.06.30

Abstract

This paper introduces the concept of a virtual ecosystem and reports the following three mathematical approaches that could be widely used to construct such an ecosystem, along with examples: (1) a molecular dynamics simulation approach for animal flocking behavior, (2) a stochastic lattice model approach for termite colony behavior, and (3) a rule-based cellular automata approach for biofilm growth. The ecosystem considered in this study consists of artificial organisms and their environment. Each organism in the ecosystem is an agent that interacts autonomously with the dynamic environment, including the other organisms within it. The three types of model were successful to account for each corresponding ecosystem. In order to accurately mimic a natural ecosystem, a virtual ecosystem needs to take many ecological variables into account. However, doing so is likely to introduce excess complexity and nonlinearity in the analysis of the virtual ecosystem's dynamics. Nonetheless, the development of a virtual ecosystem is important, because it can provide possible explanations for various phenomena such as environmental disturbances and disasters, and can also give insights into ecological functions from an individual to a community level from a synthetic viewpoint. As an example of how lower and higher levels in an ecosystem can be connected, this paper also briefly discusses the application of the second model to the simulation of a termite ecosystem and the influence of climate change on the termite ecosystem.

본 논문은 가상 생태계의 개념과 가상생태계를 구현하는데 중요하게 사용되어 질 수 있는 세 가지 수학적-물리학적 접근법을 응용 예와 함께 소개 하였다. 가상생태계란 개체기반 모델로써 인공생명체들이 가상 환경하에서 스스로 행동하면서 살아가는 것을 모사하는 컴퓨터 내에 구현된 생태계를 의미한다. 생물의 무리행동을 전산 모사하는 분자동역학모사 접근법과, 흰개미 영토를 전산 모사하는 확률적 격자모델 접근법, 그리고 생물막 성장을 전산 모사하는 규칙기반-세포자동자모델 접근법을 소개하였다. 실 생태계와의 유사성을 높이기 위해 가상생태계 모델은 많은 변수들을 사용하여야 하지만, 기술적인 측면에서 이러한 변수들을 모두 결정하기는 어렵다. 그러나 현재의 눈부신 컴퓨터 성능향상에 힘입어 많은 부분이 극복 되어 지고 있다. 특히, 가상생태계는 기후변화와 같은 환경재앙을 포함하여 많은 복잡한 생태학적 현상을 개체수준의 낮은 계층에서부터 생물집단 또는 외부 환경수준과 같은 높은 계층까지를 통합적으로 이해하는데 큰 도움을 줄수 있을 것이다. 마지막으로 논문에서는 높은 수준의 계층인 기후변화가 낮은 수준의 계층인 개체기반의 흰개미 생태계에 미치는 복잡한 문제를 어떻게 다룰 수 있는지에 대한 예를 들고 간략하게 논의하였다.

Keywords

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