scholarly journals Does statistical regularity influence detection? Famous vs novel logos and canonical vs noncanonical viewpoints

2020 ◽  
Vol 20 (11) ◽  
pp. 146
Author(s):  
Pei-Ling Yang ◽  
Evan G Center ◽  
Diane M Beck
Keyword(s):  
Statistical Regularity

Statistical Regularity in LTD Technology

2018 ◽  
Author(s):  
A.A. Kim ◽  
V.M. Alexeenko ◽  
S.S. Kondratiev ◽  
V.A. Sinebrukhov
Keyword(s):  
Statistical Regularity

scholarly journals APPLYING OF ACTIVITIES MANAGEMENT BASED ON SELF-LEARNING

2018 ◽  
Vol 1 ◽  
pp. 29-38 ◽  
Author(s):  
Valerii Samsonkin ◽  
Valerii Druz’ ◽  
Albert Feldman
Keyword(s):  
Quality Management ◽  
Technological Process ◽  
Human Activities ◽  
System Approach ◽  
Human Operator ◽  
Statistical Regularity ◽  
Effective Management ◽  
The Individual ◽  
First Time ◽  
Self Learning

The article is devoted to a brief presentation and application in practice of an effective management way of human activities and human-technical communities one. This way was called Method of statistical regularity (Method of self-organizing processes). In fact, this is a system approach. For the first time, the application of this approach is shown on the example of quality management of the technological process. Practical management is shown using an algorithm. The effectiveness of the author's system approach is explained by the consideration of the final result of the activity as a goal and a system-forming factor of activity, taking into account the individual features of the management object, real statistics of activity. The system approach described in the article is a universal devise of management. It can be used and already used to manage individual functions of the enterprise, the process, the human operator, the community

scholarly journals Which words are most iconic?

2017 ◽  
Vol 18 (3) ◽  
pp. 443-464 ◽  
Author(s):  
Bodo Winter ◽  
Marcus Perlman ◽  
Lynn K. Perry ◽  
Gary Lupyan
Keyword(s):  
Native Speaker ◽  
Statistical Regularity ◽  
Content Type ◽  
Part Of Speech ◽  
Sensory Modalities ◽  
Spoken Words ◽  
The Senses ◽  
The Relationship ◽  
Taste And Smell ◽  
Shed Light

Some spoken words are iconic, exhibiting a resemblance between form and meaning. We used native speaker ratings to assess the iconicity of 3001 English words, analyzing their iconicity in relation to part-of-speech differences and differences between the sensory domain they relate to (sight, sound, touch, taste and smell). First, we replicated previous findings showing that onomatopoeia and interjections were highest in iconicity, followed by verbs and adjectives, and then nouns and grammatical words. We further show that words with meanings related to the senses are more iconic than words with abstract meanings. Moreover, iconicity is not distributed equally across sensory modalities: Auditory and tactile words tend to be more iconic than words denoting concepts related to taste, smell and sight. Last, we examined the relationship between iconicity (resemblance between form and meaning) and systematicity (statistical regularity between form and meaning). We find that iconicity in English words is more strongly related to sensory meanings than systematicity. Altogether, our results shed light on the extent and distribution of iconicity in modern English.

The Puzzle of Predictability

2021 ◽  
pp. 1-16
Author(s):  
Wayne C. Myrvold
Keyword(s):  
Social Sciences ◽  
Nineteenth Century ◽  
Probabilistic Reasoning ◽  
Large Population ◽  
Statistical Regularity ◽  
Reliable Prediction ◽  
James Clerk Maxwell ◽  
The Social ◽  
Statistical Regularities

This chapter begins with a puzzle: how is it that reliable prediction is ever possible, in physics? The reason that this is puzzling is that, even if the systems we are making predictions about are governed by deterministic laws that are known to us, the information available to us is a minuscule fraction of what might in principle be required to make a prediction. The answer to the puzzle lies in the phenomenon of statistical regularity, first identified in the social sciences. In a sufficiently large population, reliable predictions can be made about the total number of events that, taken individually, are unpredictable. Aggregate order arises out of individual disorder. This means that, as James Clerk Maxwell perceived already in the nineteenth century, all observed regularities are statistical regularities. To understand these requires the use of probabilistic concepts. This means that probabilistic reasoning is required even in our most certain predictions. Probability permeates physics, and we are going to have to make sense of it.

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