文章基本信息

标题：Information –Symmetry and Feynman-Diagrams Applied to Computing Models
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作者：Carlos J. Martinez ; Ana Gonzalez ; Ewa Nieminsky 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2019
卷号：9
期号：11
页码：1-16
DOI：10.5121/csit.2019.91108
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The evolving complexity of modern technologies brings new concepts, solutions, tools, but also new needs and problems. We review a computing and communication model inspired in physics, to examine complex systems under a perspective of physics-inspired principles like symmetry and conservation-laws. Aiming to help design, build, and control systems, we apply concepts like Information-Symmetry, propagation of information, or inertia to model communications. Modelling computing under physics reactions and conservation laws gives tools to automatically audit each process and create side effects on deviations, bringing advantages in verification, security, and to gain reliability. We review the Feynman-diagrams in computing, rotating diagrams to obtain reversible operations from one formula, and using the diagrams to verify consistency against a unique computing expression. Applications include dealing with data uncertainty, we show advantages to control fuzzy systems and reduce dataset needing further screening. Model and diagrams are proposed as tools to help automate and refine designs, and to gain in reliability.
关键词：Unconventional Computing Model; Inertia; Data Communications; Symmetry; Reliability; Cloud; Fuzzy;