scholarly journals Metaphor as an object of the synergy paradigm study

2021 ◽  
Vol 5 (S1) ◽  
pp. 1-10
Author(s):  
Fakhraddin Abdulkerim Oglu Guliyev
Keyword(s):  
Nonlinear System ◽  
Complex Systems ◽  
Order Parameters ◽  
Point Of View ◽  
Space And Time ◽  
Theoretical System ◽  
Principle Of Subordination ◽  
Method Of Abstraction ◽  
Dynamic Formation

The article investigates the ontognoseological properties of metaphor from the point of view of the synergetic paradigm. By the principles of synergetic science, metaphor is considered as a nonlinear system category that performs a system-forming, heuristic, generalizing function. With the help of the principle of subordination, complex systems are described through a limited number of order parameters, as a result of which information is compressed without loss. The metaphor has its origins in the economy: as a method of abstraction, the transition from the infinite to the finite, and the reduction of lexical means. Metaphor is a way of transmitting an idea that has a methodological significance, i.e. one theoretical system is translated into another and one system is investigated through another, simpler system. Metaphor as a dynamic formation establishes connections between objects of different orders and processes in their development in space and time, which allows you to explore metaphors using the principles of synergetics.

Rheology of hydrocarbon gels

1950 ◽  
Vol 200 (1061) ◽  
pp. 183-188 ◽  
Keyword(s):  
Mechanical Properties ◽  
Experimental Measurement ◽  
Theoretical Basis ◽  
Continuous Media ◽  
Point Of View ◽  
Coarse Grained ◽  
Testing Instrument ◽  
Fine Grained ◽  
Mineral Oils ◽  
Space And Time

Hydrocarbon gels contain a number of materials, such as rubber, greases, saponified mineral oils, etc., of great interest for various engineering purposes. Specific requirements in mechanical properties have been met by producing gels in appropriately chosen patterns of constituent components of visible, colloidal, molecular and atomic sizes, ranging from coarse-grained aggregates, represented by sponges, foams, emulsions, etc.; to fine-grained and apparently homogeneous ones, represented by optically clear compounds. The engineer who has to deal with the whole range of such materials will adopt a macroscopic point of view, based on an apparent continuity of all the material structures and of the distributions in space and time of the displacements and forces occurring under mechanical actions. It has been possible to determine these distributions in the framework of a comprehensive scheme in which the fundamental principles of the mechanics of continuous media provide the theoretical basis, and a testing instrument of new design, termed Rheogoniometer, the means of experimental measurement (Weissenberg 1931, 1934, 1946, 1947, 1948).

Modularity in Artificial Neural Networks

2011 ◽  
pp. 1095-1101
Author(s):  
Ricardo Téllez ◽  
Cecilio Angulo
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Complex Systems ◽  
Intelligent Systems ◽  
Point Of View ◽  
Main Concern ◽  
Complex Structures ◽  
Computational Point ◽  
Points Of View

The concept of modularity is a main concern for the generation of artificially intelligent systems. Modularity is an ubiquitous organization principle found everywhere in natural and artificial complex systems (Callebaut, 2005). Evidences from biological and philosophical points of view (Caelli and Wen, 1999) (Fodor, 1983), indicate that modularity is a requisite for complex intelligent behaviour. Besides, from an engineering point of view, modularity seems to be the only way for the construction of complex structures. Hence, whether complex neural programs for complex agents are desired, modularity is required. This article introduces the concepts of modularity and module from a computational point of view, and how they apply to the generation of neural programs based on modules. Two levels, strategic and tactical, at which modularity can be implemented, are identified. How they work and how they can be combined for the generation of a completely modular controller for a neural network based agent is presented.

Cities as Complex Systems

2020 ◽  
Vol 1 (2) ◽  
pp. 1-16
Author(s):  
Antonio Opromolla ◽  
Valentina Volpi
Keyword(s):  
Complex Systems ◽  
Collaborative Design ◽  
Digital Technologies ◽  
Point Of View ◽  
Urban Spaces ◽  
Economic Point ◽  
Sustainable Solutions ◽  
Human Aspects ◽  
The People ◽  
Hybrid Spaces

Cities can be considered as “complex systems,” since they are characterized by multiple connected elements and by relations among them that are not always recognizable. The massive presence of digital technologies in urban spaces that transform them into “hybrid” spaces makes cities even more complex. This article shows some of the challenges that arise in this new context (e.g., rethinking the people experience in the urban spaces; developing new “urban competences” using in an effective way the large amount of produced data; focusing on the human aspects rather than the technological ones; thinking of sustainable solutions from the environmental, social, and economic point of view; etc.), and it proposes the application of collaborative design frameworks that can offer specific tools and methodologies to face them.

From machine learning to sustainable taxation: GPS traces of trucks circulating in Belgium

2020 ◽  
Author(s):  
Arnaud Adam ◽  
Isabelle Thomas
Keyword(s):  
Machine Learning ◽  
Point Of View ◽  
Machine Learning Techniques ◽  
Spatial Effects ◽  
Space And Time ◽  
Learning Techniques ◽  
Other Information ◽  
Gps Traces ◽  
The Individual ◽  
Taxation System

<p>Transport geography has always been characterized by a lack of accurate data, leading to surveys often based on samples that are spatially not representative. However, the current deluge of data collected through sensors promises to overpass this scarcity of data. We here consider one example: since April 1<sup>st</sup> 2016, a GPS tracker is mandatory within each truck circulating in Belgium for kilometre taxes. Every 30 seconds, this tracker collects the position of the truck (as well as some other information such as speed or direction), leading to an individual taxation of trucks. This contribution uses a one-week exhaustive database containing the totality of trucks circulating in Belgium, in order to understand transport fluxes within the country, as well as the spatial effects of the taxation on the circulation of trucks.</p><p>Machine learning techniques are applied on over 270 million of GPS points to detect stops of trucks, leading to transform GPS sequences into a complete Origin-Destination matrix. Using machine learning allows to accurately classify stops that are different in nature (leisure stop, (un-)loading areas, or congested roads). Based on this matrix, we firstly propose an overview of the daily traffic, as well as an evaluation of the number of stops made in every Belgian place. Secondly, GPS sequences and stops are combined, leading to characterise sub-trajectories of each truck (first/last miles and transit) by their fiscal debit. This individual characterisation, as well as its variation in space and time, are here discussed: is the individual taxation system always efficient in space and time?</p><p>This contribution helps to better understand the circulation of trucks in Belgium, the places where they stopped, as well as the importance of their locations in a fiscal point of view. What are the potential modifications of the trucks routes that would lead to a more sustainable kilometre taxation? This contribution illustrates that combining big-data and machine learning open new roads for accurately measuring and modelling transportation.</p>

scholarly journals QUANTUM COSMIC CENSOR: GRAVITATION MAKES REALITY UNDECIDABLE

2008 ◽  
Vol 17 (13n14) ◽  
pp. 2535-2538 ◽  
Author(s):  
RODOLFO GAMBINI ◽  
JORGE PULLIN
Keyword(s):  
Quantum Mechanics ◽  
Measurement Problem ◽  
Quantum States ◽  
Point Of View ◽  
Space And Time ◽  
Empirical Point

When one takes into account gravitation, the measurement of space and time cannot be carried out with infinite accuracy. When quantum mechanics is reformulated taking into account this lack of accuracy, the resolution of the measurement problem can be performed via decoherence without the usual pitfalls. The resulting theory has the same physical predictions of quantum mechanics with a reduction postulate, but is radically different, with the quantum states evolving unitarily in terms of the underlying variables. Gravitation therefore makes this worrisome situation, potentially leading to two completely different views of reality, irrelevant from an empirical point of view. It may, however, be highly relevant from a philosophical point of view.

Complex Systems Study as Biology

1998 ◽  
Vol 12 (03) ◽  
pp. 245-256 ◽  
Author(s):  
Y. Oono
Keyword(s):  
Complex Systems ◽  
Point Of View

If we pay serious and conscientious attention to the connotation of the word "complexity", study of complex systems must basically be biology. Basic questions are raised from this point of view.

Semantic agents, syntactic subjects, and discourse topics

2000 ◽  
Vol 24 (2) ◽  
pp. 277-317 ◽  
Author(s):  
David Beck
Keyword(s):  
Point Of View ◽  
Surface Form ◽  
Space And Time ◽  
Discourse Organization

The Salishan language Lushootseed has been claimed to lack both syntactic subjects and morphosyntactically transitive clauses, a problematic stance from a universalist/typological point of view. This paper offers evidence both for the syntactic role of subject in Lushootseed and the existence of transitive clauses, and examines the sentence- and discourse-level properties of Lushootseed subjects that make them essential for the grounding of events and discourse in both space and time. Their centrality to the discourse-organization of the language, and hence their recoverability, allows their frequent — and, in transitive clauses, obligatory — elision from the surface form of sentences.

A complex biological system: the fly's visual module

2007 ◽  
Vol 366 (1864) ◽  
pp. 345-357 ◽  
Author(s):  
Murilo S Baptista ◽  
Lirio O.B de Almeida ◽  
Jan F.W Slaets ◽  
Roland Köberle ◽  
Celso Grebogi
Keyword(s):  
Probability Measure ◽  
Complex Systems ◽  
Visual System ◽  
Lyapunov Exponents ◽  
Biological System ◽  
Dimensional Space ◽  
Point Of View ◽  
Two Dimensional ◽  
Complex Biological System

Is the characterization of biological systems as complex systems in the mathematical sense a fruitful assertion? In this paper we argue in the affirmative, although obviously we do not attempt to confront all the issues raised by this question. We use the fly's visual system as an example and analyse our experimental results of one particular neuron in the fly's visual system from this point of view. We find that the motion-sensitive ‘H1’ neuron, which converts incoming signals into a sequence of identical pulses or ‘spikes’, encodes the information contained in the stimulus into an alphabet composed of a few letters. This encoding occurs on multilayered sets, one of the features attributed to complex systems . The conversion of intervals between consecutive occurrences of spikes into an alphabet requires us to construct a generating partition . This entails a one-to-one correspondence between sequences of spike intervals and words written in the alphabet. The alphabet dynamics is multifractal both with and without stimulus, though the multifractality increases with the stimulus entropy. This is in sharp contrast to models generating independent spike intervals, such as models using Poisson statistics, whose dynamics is monofractal. We embed the support of the probability measure, which describes the distribution of words written in this alphabet, in a two-dimensional space, whose topology can be reproduced by an M-shaped map. This map has positive Lyapunov exponents, indicating a chaotic-like encoding.

scholarly journals Beyond Boundaries: Using Liquid Languages - Interview with Britta Schneider about “Liquid Languages”

Gragoatá ◽  
2021 ◽  
Vol 26 (54) ◽  
pp. 436-444
Author(s):  
Britta Schneider ◽  
Konstanze Jungbluth
Keyword(s):  
Essential Feature ◽  
Cultural Construction ◽  
Point Of View ◽  
Space And Time ◽  
The One

Data from plurilingual Belize shows that not everyone recognizes stability as an essential feature of aspoken language. Belizeans consider the use of Kriol as a symbol of belonging but foreground its readiness for variation across communities in space and time. Their use of liquid languages is a different form of cultural construction than the one our textbooks show. It questions a good part of linguistics and reveals its possibly Eurocentric point of view.

scholarly journals Cognitive Networks: Interactivity, Intersubjectivity, and Synergy

2018 ◽  
Vol 20 (1) ◽  
pp. 52-78
Author(s):  
Helena Knyazeva
Keyword(s):  
Complex Systems ◽  
Cognitive Science ◽  
Cognitive Processes ◽  
Network Science ◽  
Cognitive Maps ◽  
Cognitive Networks ◽  
Point Of View ◽  
Network Structures ◽  
Cognitive Coherence ◽  
Cognitive Niches

Some properties of cognitive networks are discussed in the article in the context of the modern achievements of the network science. It is the study in network structures and their surprising properties that gives a new impetus to the development of the theory of complex systems (synergetics). The analysis of cognitive processes from the point of view of the network structures that arise in them not only fits with such concepts already existing in cognitive science and epistemology, as cognitive niches, cognitive maps, cognitive coherence, etc.), but also brings some new aspects to the understanding of interactivity, intersubjectivity, synergy in cognition and creative activities, empathy.

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