量化形态学计算
Quantifying Morphological Computation
摘要：
具身智能领域强调认知系统行为的形态和环境的重要性。形态学对行为的贡献，通常称为形态学计算，在这个社区中得到了广泛的认可。我们相信，该领域将受益于这一概念的形式化，因为我们想问有多少形态和环境有助于体现代理的行为，或如何体现代理可以最大限度地利用其环境中的形态。在这项工作中，我们推导出两个概念的测量形态计算，我们讨论了它们之间的关系的信息瓶颈方法。第一个概念问世界对整体行为的贡献有多大，第二个概念问代理人的行为对行为的贡献有多大。各种措施的概念，并在两个实验中，突出其优点和缺点进行验证。
英文摘要：
The field of embodied intelligence emphasises the importance of the morphology and environment with respect to the behaviour of a cognitive system. The contribution of the morphology to the behaviour, commonly known as morphological computation, is well-recognised in this community. We believe that the field would benefit from a formalisation of this concept as we would like to ask how much the morphology and the environment contribute to an embodied agent's behaviour, or how an embodied agent can maximise the exploitation of its morphology within its environment. In this work we derive two concepts of measuring morphological computation, and we discuss their relation to the Information Bottleneck Method. The first concepts asks how much the world contributes to the overall behaviour and the second concept asks how much the agent's action contributes to a behaviour. Various measures are derived from the concepts and validated in two experiments which highlight their strengths and weaknesses.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
