scholarly journals Well-Hidden Regularities: Abstract Uses ofinandonRetain an Aspect of Their Spatial Meaning

2015 ◽  
Vol 39 (8) ◽  
pp. 1881-1911 ◽  
Author(s):  
Anja Jamrozik ◽  
Dedre Gentner
Keyword(s):  
Hidden Regularities

scholarly journals Sleep and the extraction of hidden regularities: A systematic review and the importance of temporal rules

2019 ◽  
Vol 47 ◽  
pp. 39-50 ◽  
Author(s):  
Itamar Lerner ◽  
Mark A. Gluck
Keyword(s):  
Systematic Review ◽  
Hidden Regularities

Some hidden "regularities" in a school mental health program and their relation to intended outcomes.

1974 ◽  
Vol 42 (3) ◽  
pp. 346-352 ◽  
Author(s):  
Raymond P. Lorion ◽  
Emory L. Cowen ◽  
Ronald M. Kraus
Keyword(s):  
Mental Health ◽  
Health Program ◽  
School Mental Health ◽  
Mental Health Program ◽  
School Mental Health Program ◽  
Hidden Regularities

Constraining solution space to improve generalization

1997 ◽  
Vol 20 (1) ◽  
pp. 67-68
Author(s):  
John A. Bullinaria
Keyword(s):  
Learning Algorithms ◽  
Solution Space ◽  
Local Information ◽  
Learning Processes ◽  
Point Of View ◽  
Heavy Duty ◽  
Hidden Regularities ◽  
Evolutionary Point

I suggest that the difficulties inherent in discovering the hidden regularities in realistic (type-2) problems can often be resolved by learning algorithms employing simple constraints (such as symmetry and the importance of local information) that are natural from an evolutionary point of view. Neither “heavy-duty nativism” nor “representational recoding” appear to offer totally appropriate descriptions of such natural learning processes.

Hidden Real-Time Patterns in Intra- and Inter-Individual Behavior: Description and Detection

1996 ◽  
Vol 12 (2) ◽  
pp. 112-123 ◽  
Author(s):  
Magnus S. Magnusson
Keyword(s):  
Real Time ◽  
Detection Method ◽  
Human Interaction ◽  
Time Behavior ◽  
Analysis Software ◽  
Face To Face ◽  
Time Patterns ◽  
Behavior Description ◽  
Structural Hypothesis ◽  
Hidden Regularities

It is widely believed that human interaction is much more regular than has yet been detected. What kinds of hidden regularities exist is, however, unsettled. In this paper a structural hypothesis is proposed where each continuous human interaction is seen as the performance of a set of a particular type of temporal patterns. Some of these repeated intra- and inter-individual real-time behavior patterns may be mutually exclusive in time while others may overlap in various ways. Perceptual limitations making such patterns hidden to the naked eye are illustrated. A computerized detection method and illustrative empirical findings from various types of face-to-face interactions in children and adults are presented. The specially developed pattern detection and analysis software, THEME, is also shortly described.

Revealing hidden regularities with a general approach to fission

2015 ◽  
Vol 51 (12) ◽  
Author(s):  
Karl-Heinz Schmidt ◽  
Beatriz Jurado
Keyword(s):  
Hidden Regularities

MATHEMATICS: 'Cranky' Proof Reveals Hidden Regularities

Science ◽  
2005 ◽  
Vol 308 (5718) ◽  
pp. 36b-37b
Author(s):  
D. Mackenzie
Keyword(s):  
Hidden Regularities

Numeric Genomatrices of Hydrogen Bonds, the Golden Section, Musical Harmony, and Aesthetic Feelings

2010 ◽  
pp. 65-90
Author(s):  
Sergey Petoukhov ◽  
Matthew He
Keyword(s):  
Hydrogen Bonds ◽  
Genetic Code ◽  
System Analysis ◽  
Golden Section ◽  
Mathematical Objects ◽  
Symmetric Methods ◽  
Musical Harmony ◽  
New Knowledge ◽  
Hidden Regularities

This chapter is devoted to a consideration of the Kronecker family of the genetic matrices, but in the new numerical form of their presentation. This numeric presentation gives opportunities to investigate ensembles of parameters of the genetic code by means of system analysis including matrix and symmetric methods. In this way, new knowledge is obtained about hidden regularities of element ensembles of the genetic code and about connections of these ensembles with famous mathematical objects and theories from other branches of science. First of all, this chapter demonstrates the connection of moleculargenetic system with the golden section and principles of musical harmony.

Automatic Detection of Hidden Regularities Based on the Study of Class Properties

2020 ◽  
Vol 30 (2) ◽  
pp. 224-229
Author(s):  
V. Rodchenko
Keyword(s):  
Automatic Detection ◽  
Hidden Regularities

scholarly journals Main Trends in the Development of Criminological Theory and Crime Prevention Practice in the Context of the Digitalization of Society

2021 ◽  
Vol 15 (6) ◽  
pp. 681-691
Author(s):  
Anatoliy Osipenko ◽  
Vladislav Solovev
Keyword(s):  
Law Enforcement ◽  
Crime Prevention ◽  
Criminal Behavior ◽  
Large Scale ◽  
Criminal Activity ◽  
Criminological Theory ◽  
Managerial Decisions ◽  
Digital Methods ◽  
Socially Relevant ◽  
Hidden Regularities

The digitalization of society, associated with a large-scale introduction of digital technologies in all socially relevant spheres, not only brough about positive changes, but also had a powerful effect on the transformation of crime and criminogenic factors. This has created an urgent need for understanding the prospects of criminological science in the new conditions, for strengthening its role in ensuring national security, for improving its methodology in new ways. The authors define key criminal threats to the security of the digital space: a rapid increase of its criminalization due to the features attractive for criminals (trans-national character of cyberspace, widespread anonymization and encryption, digital means of committing crimes and concealing their traces, etc.); the emergence and widening of criminogenic zones of cyberspace, with DarkNet holding a special place; the use of «digital» methods of resisting law enforcement, including cryptocurrencies and artificial intelligence. It is concluded that the abovementioned circumstances make it necessary to change the methodology of criminological research and the practice of law enforcement. The collection and generalization of information from publicly available digital sources, its analysis with the use of big data acquire a special research potential connected with the possibility of finding hidden regularities and obtaining criminological knowledge that cannot be found elsewhere. The digitalization of society creates conditions for the introduction of a preventive model of law enforcement based on predictive analysis methods. It becomes possible to quickly detect signs of criminal activity that require both a specific reaction of law enforcement and systemic managerial decisions. It also opens broad prospects for predicting individual criminal behavior by analyzing the Internet activity of specific individuals. The authors then highlight the most relevant directions for the development of criminological theory and the practice of crime prevention in the conditions of the digitalization of society.

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