We examine and compare autopoietic systems (biological organisms) and machine learning systems (MLSs) highlighting crucial differences in how causal reasoning emerges and operates. Despite superficial ...

The developer of the popular MATLAB programming language and numeric computing environment said a ransomware attack is impacting its IT systems. Massachusetts-based MathWorks provided an update to ...

Abstract: The data acquisition technologies used in power systems have been continuously improving, thus laying the solid foundation for data-driven operation analysis of power systems. However, ...

Abstract: Inversion of nonminimum phase systems is a challenging problem. The classical causal inverses proposed by Hirschorn (1979) result in unbounded solutions to the inverse problem where the zero ...

The dual-valued matrix Ky Fan p-k-norm is employed for causal emergence to reveal the underlying patterns and structural dependencies within complex systems.

SURD, an algorithm, reveals causal links in complex systems. Applications may include forecasting climate to projecting population growth to designing efficient aircraft. Getting to the heart of ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

The Causal Discovery was applied to COCOMO/COSYSMO datasets to determine how changing project factors affect costs (causation not just correlation). The Causal Discovery and Estimation, novel ...