Zobrazeno 1 - 10
of 759
pro vyhledávání: '"KENT, ROBERT"'
Publikováno v:
Nat Commun 15, 3886 (2024)
Machine learning provides a data-driven approach for creating a digital twin of a system - a digital model used to predict the system behavior. Having an accurate digital twin can drive many applications, such as controlling autonomous systems. Often
Externí odkaz:
http://arxiv.org/abs/2406.12876
Autor:
Kent, Robert E.
The theory of institutions is framed as an indexed/fibered duality, where the indexed aspect specifies the fibered aspect. Tarski represented truth in terms of a satisfaction relation. The theory of institutions encodes satisfaction as its core archi
Externí odkaz:
http://arxiv.org/abs/2404.15221
Autor:
Kent, Robert E.
Truth refers to the satisfaction relation used to define the semantics of model-theoretic languages. The satisfaction relation for first order languages (truth classification), and the preservation of truth by first order interpretations (truth infom
Externí odkaz:
http://arxiv.org/abs/2404.14470
Autor:
Kent, Robert E.
Human knowledge is made up of the conceptual structures of many communities of interest. In order to establish coherence in human knowledge representation, it is important to enable communication between the conceptual structures of different communi
Externí odkaz:
http://arxiv.org/abs/2404.13782
Publikováno v:
Chaos 34, 023102 (2024)
In this work, we combine nonlinear system control techniques with next-generation reservoir computing, a best-in-class machine learning approach for predicting the behavior of dynamical systems. We demonstrate the performance of the controller in a s
Externí odkaz:
http://arxiv.org/abs/2307.03813
Autor:
Kent, Robert E.
This paper continues the discussion of the representation and interpretation of ontologies in the first-order logical environment {\ttfamily FOLE} (Kent). Ontologies are represented and interpreted in (many-sorted) first-order logic. Five papers prov
Externí odkaz:
http://arxiv.org/abs/2302.05997