Morphological Computation as Natural Ecosystem Service for Intelligent Technology

Proceedings

article

Gordana Dodig-Crnkovic¹ 

[1] Department of Computer Science and Engineering, Chalmers University of Technology

[2] University Gothenburg;Division of Computer Science and Software Engineering, School of Innovation, Design and Engineering, Mälardalen University

关键词: information;    knowledge;    structures;    general theory of information;    cognition;    turing machine;    structural machine;    data structures;    knowledge structures;   

DOI  :  10.3390/proceedings2022081125

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

The basic idea of natural computing is learning from nature. Naturalist framework provides info-computational architecture for cognizing agents, modelling living organisms as informational structures with computational dynamics. Intrinsic natural information processes can be used as natural ecosystem services to perform resource-efficient computation, instead of explicitly controlling every step of computational process. In robotics, morphological computing is using inherent material properties to produce behavior like passive walking or grasping. In general, morphology (structure, shape, form, material) is self-organizing into dynamic structures resulting in growth, development, and decision-making that represent processes of embodied cognition and constitute naturalized basis of intelligent behavior.

【 授权许可】

CC BY