The Need to Adapt and Its Implications for Embodiment
The Need to Adapt and Its Implications for Embodiment
复制标题
适应的需要及其对实施的影响
DOI：
10.1007/978-3-540-27833-7_7
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
L. Lichtensteiger
中科院分区：
文献类型：
--
作者：
L. Lichtensteiger
我们提出这样的假设：为自然或人工代理选择特定实施例的一个重要因素是该实施例对代理适应环境变化的能力的影响。为了支持这一假设，我们讨论了最近的经验结果，其中发现传感器形态显着影响学习给定任务所需的时间。此外，我们还讨论了其他最近的实验，在这些实验中，只需要求代理必须尽快学习其任务，就可以进化出独特的最佳传感器形态。这两个发现都可以通过最近发现的“最佳适应的独特局部增益因子原理”来解释，该原理为理解代理的体现与其学习性能之间的相互依赖关系提供了通用数学设置的第一步。
We present the hypothesis that an important factor for the choice of a particular embodiment for a natural or artificial agent is the effect of the embodiment on the agent’s ability to adapt to changes in the environment. To support this hypothesis, we discuss recent empirical results where sensor morphology was found to significantly affect the time needed for learning a given task. Also, we discuss other recent experiments where a unique optimal sensor morphology could be evolved simply by requiring that the agent had to learn its task as quickly as possible. Both these findings are explained by the recently discovered ”Principle of Unique Local Gain Factors for Optimal Adaptation” which provides a first step towards a general mathematical setting for understanding the interdependence between an agent’s embodiment and its learning performance.