paper-with-me

홈 › Papers

Semantic Numeration Systems as Dynamical Systems

2025-07-28 · Alexander Yu. Chunikhin arxiv

The foundational concepts of semantic numeration systems theory are briefly outlined. The action of cardinal semantic operators unfolds over a set of cardinal abstract entities belonging to the cardinal semantic multeity. The cardinal abstract object (CAO) formed by them in a certain connectivity topology is proposed to be considered as a linear discrete dynamical system with nonlinear control. Under the assumption of ideal observability, the CAO state equations are provided for both stationary and non-stationary cases. The fundamental role of the configuration matrix, which combines information about the types of cardinal semantic operators in the CAO, their parameters and topology of connectivity, is demonstrated.

📄 PDF Abstract BibTeX arXiv:2507.21295

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Fundamentals of Semantic Numeration Systems. Can the Context be Calculated?

2021-01-30 · Alexander Chunikhin

This work is the first to propose the concept of a semantic numeration system (SNS) as a certain class of context-based numeration methods. The development of the SNS concept required the introduction of fundamentally ne…

On Fuzzy Cardinal Semantic Transformations

2022-05-27 · Alexander Chunikhin, Vadym Zhytniuk

The concept of fuzzy cardinal semantic transformation as a basis for creating fuzzy semantic numeration systems is introduced in this work. Both fuzziness of the initial data - cardinals of abstract entities - and fuzzin…

A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration

2021-01-05 · Hai Lan, Zhifeng Bao, Yuwei Peng

Query optimizer is at the heart of the database systems. Cost-based optimizer studied in this paper is adopted in almost all current database systems. A cost-based optimizer introduces a plan enumeration algorithm to fin…

Learning stochastic dynamics and predicting emergent behavior using transformers

2022-02-17 · Corneel Casert, Isaac Tamblyn, Stephen Whitelam

We show that a neural network originally designed for language processing can learn the dynamical rules of a stochastic system by observation of a single dynamical trajectory of the system, and can accurately predict its…

Neural Graph Navigation for Intelligent Subgraph Matching

2025-11-22 · Yuchen Ying, Yiyang Dai, Wenda Li, Wenjie Huang 외 arxiv

Subgraph matching, a cornerstone of relational pattern detection in domains ranging from biochemical systems to social network analysis, faces significant computational challenges due to the dramatically growing search s…