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Understanding the Regulation of Predatory and Anti-prey Behaviours for an Artificial Organism

机译:了解人造生物的掠食行为和反捕食行为的规则

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An organism's behaviour can be categorised as being either predatory or anti-prey. Predatory behaviours are behaviours that try to improve the life of an organism. Anti-prey behaviours are those that at tempt to prevent death. Regulation between these two opposing behaviours is necessary to ensure survivability-and gene regulatory networks and metabolic networks are the mechanisms that provide this regulation. We know that such regulatory behaviour is encoded in an or ganism's genes. The question is, how is it encoded? The understanding of this encoding can help with the development of an artificial organism, for example an autonomous robotic system; whereby the robot will have the ability to autonomously regulate the switching between the opposing be haviours using this encoded mechanism, in order to ensure its sustainable and continuous system operations. This paper aims to look into the prop erties of an artificial bio-chemical network consisting of a genetic regula tory network and a metabolic network that can provide these capabilities.
机译:生物体的行为可分为掠夺性或反掠夺性。掠夺性行为是试图改善生物体寿命的行为。反捕食行为是试图防止死亡的行为。这两种相对行为之间的调节对于确保生存能力是必要的,而基因调节网络和代谢网络是提供这种调节的机制。我们知道,这种调节行为是在一个或一个基因的基因中编码的。问题是,如何编码?对这种编码的理解可以帮助开发人造生物,例如自主机器人系统。因此,机器人将能够使用此编码机制自主调节相对行为之间的切换,以确保其可持续且连续的系统操作。本文旨在研究由基因调控网络和可提供这些功能的代谢网络组成的人工生化网络的特性。

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