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Wyszukujesz frazę "generative" wg kryterium: Temat


Tytuł:
Some Power-Decreasing Derivation Restrictions in Grammar Systems
Autorzy:
Meduna, Alexander
Cermak, Martin
Masopust, Tomas
Powiązania:
https://bibliotekanauki.pl/articles/1373401.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
Tematy:
grammar systems
derivation restriction
generative power
Opis:
In this paper, we place some left restrictions on derivations in CD grammar systems with phrase- structure grammars, controlled by the regular languages. The first restriction requires that every production is always applied within the first k nonterminals in every sentential form, for some $k \ge 1$. The second restriction says how many blocks of non-terminals can be in each sentential form. The third restriction extends the second restriction and says how many blocks of non-terminals with limited length can be in each sentential form. We demonstrate that under these restrictions, the grammar systems generate different families of languages. Indeed, under the first restriction, these systems generate only context-free languages. Under the second restriction, even one-component systems characterize the entire family of recursively enumerable languages. In the end, the family of languages generated by grammar systems under the third restriction is equal to the family of languages generated by programmed grammars with context-free rules without $\epsilon$- rules of nite index.
Źródło:
Schedae Informaticae; 2010, 19; 23-34
0860-0295
2083-8476
Pojawia się w:
Schedae Informaticae
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
“Chomskyan revolution” in Bulgarian socio-cultural and linguistic environment
Autorzy:
Venkova, Tzvetomira
Powiązania:
https://bibliotekanauki.pl/articles/677499.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Instytut Slawistyki PAN
Tematy:
Bulgarian transformational-generative syntax
cross-cultural reception of Chomskyan linguistic theories
Chomskyan revolution
trasnformational-generative grammar
Opis:
Chomskyan revolution in Bulgarian socio-cultural and linguistic environment The term Chomskyan revolution, referring to the innovative current in modern American linguistics and Noam Chomsky as it’s leading figure, permeated the metaphorical imagery of the popular linguistic and socio-cultural spheres in the USA. This term actually surpassed specialized linguistic circles, where it designated Chomsky’s transformational-generative grammar model and normally appeared in quotation marks. However, although Chomskyan revolution came to occupy a central position in the American network of unquestioned cultural mythologemes, its Bulgarian reception was different. The overall impression in Bulgarian linguistic and socio-cultural circles regarding the revolutionary leap has been rather skeptical and reserved, although the Chomskyan grammar model itself has been introduced into research practice. Such a difference in attitudes towards the status of transformational-generative grammar in the source and a target country is discussed here in terms of motivations and basic positions. Rewolucja Chomsky’ego w bułgarskim środowisku społeczno-kulturowym i lingwistycznymTermin „rewolucja Chomsky'ego”, odnoszący się do całkowicie nowatorskiego nurtu współczesnego językoznawstwa amerykańskiego i Chomsky'ego jako jego wiodącej postaci, przeniknął do popularnej sfery językowej i społeczno-kulturowej w USA jako część ich metaforycznego imaginarium. Przekroczył on niejako granice wyspecjalizowanych środowisk lingwistycznych, które standardowo zapisywały go w cudzysłowie, i ostatecznie wyznaczył model gramatyki transformacyjno-generatywnej Chomsky'ego. Chociaż „rewolucja Chomsky’ego” stała się centralnym elementem amerykańskiej siatki niekwestionowanych mitologemów kulturowych, środowisko bułgarskie zareagowało inaczej. Ogólna opinia bułgarskich środowisk językoznawczych i społeczno-kulturowych na temat rewolucyjnego skoku była dość sceptyczna i pełna zastrzeżeń, chociaż sam model gramatyki Chomsky'ego został wprowadzony do praktyki badawczej. Przedmiotem artykułu jest właśnie ta odmienność postaw pod względem motywacji i stanowisk zajmowanych wobec statusu gramatyki transformacyjno-generatywnej w kraju źródłowym i kraju odbiorcy.
Źródło:
Slavia Meridionalis; 2018, 18
1233-6173
2392-2400
Pojawia się w:
Slavia Meridionalis
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A generative approach to hull design for a small watercraft
Autorzy:
Karczewski, Artur
Kozak, Janusz
Powiązania:
https://bibliotekanauki.pl/articles/32917891.pdf
Data publikacji:
2023
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
method
generative design
yacht
optimisation
genetic algorithm
Opis:
In the field of ocean engineering, the task of spatial hull modelling is one of the most complicated problems in ship design. This study presents a procedure applied as a generative approach to the design problems for the hull geometry of small vessels using elements of concurrent design with multi-criteria optimisation processes. Based upon widely available commercial software, an algorithm for the mathematical formulation of the boundary conditions, the data flow during processing and formulae for the optimisation processes are developed. As an example of the application of this novel approach, the results for the hull design of a sailing yacht are presented.
Źródło:
Polish Maritime Research; 2023, 1; 4-12
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Underwater image enhancement via efficient generative adversarial network
Autorzy:
Qian, Xin
Ge, Peng
Powiązania:
https://bibliotekanauki.pl/articles/2033886.pdf
Data publikacji:
2021
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
underwater
image dehazing
generative adversarial network
GAN
Opis:
Underwater image enhancement has been receiving much attention due to its significance in facilitating various marine explorations. Inspired by the generative adversarial network (GAN) and residual network (ResNet) in many vision tasks, we propose a simplified designed ResNet model based on GAN called efficient GAN (EGAN) for underwater image enhancement. In particular, for the generator of EGAN we design a new pair of convolutional kernel size for the residual block in the ResNet. Secondly, we abandon batch normalization (BN) after every convolution layer for faster training and less artifacts. Finally, a smooth loss function is introduced for halo-effect alleviation. Extensive qualitative and quantitative experiments show that our methods accomplish considerable improvements compared to the state-of-the-art methods.
Źródło:
Optica Applicata; 2021, 51, 4; 483-497
0078-5466
1899-7015
Pojawia się w:
Optica Applicata
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Parametric, generative, evolutionary, organic and bionic architecture : a new look at an old problem
Autorzy:
Pakowska, M.
Powiązania:
https://bibliotekanauki.pl/articles/398536.pdf
Data publikacji:
2014
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
architektura
projektowanie
parametry
parametric
generative
bionic
architecture
design
Opis:
The constant development of all areas of human life forces the continuity of an awareness limited to individual selected issue, but also imposes searches in broader fields of science. The same phenomenon also did not miss the architectural design. Dynamism of changes and participation, among others, mathematics, computer sciences or biology design entered confusion and false perception of the definition of the new methods of design. The main goal of the article is to organize the principles that govern parametric, generative, evolutionary, bionic or organic design. The basis for distinguishing between these issues is to define the objectives of the initial formation of a solid object. Evolution of changes in modern design techniques is also a great record of the history of human conscious creation of an architectural form.
Źródło:
Architecturae et Artibus; 2014, 6, 1; 42-45
2080-9638
Pojawia się w:
Architecturae et Artibus
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Adaptive and precise peak detection algorithm for fibre Bragg grating using generative adversarial network
Autorzy:
Kumar, Sunil
Sengupta, Somnath
Powiązania:
https://bibliotekanauki.pl/articles/2174853.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Stowarzyszenie Elektryków Polskich
Tematy:
Fibre Bragg grating
generative model
discriminative model
loss function
Opis:
An adaptive and precise peak wavelength detection algorithm for fibre Bragg grating using generative adversarial network is proposed. The algorithm consists of generative model and discriminative model. The generative model generates a synthetic signal and is sampled for training using a deep neural network. The discriminative model predicts the real fibre Bragg grating signal by the calculation of the loss functions. The maxima of loss function of the discriminative signal and the minima of loss function of the generative signal are matched and the desired peak wavelength of fibre Bragg grating is determined. The proposed algorithm is verified theoretically and experimentally for a single fibre Bragg grating peak. The accuracy has been obtained as ±0.2 pm. The proposed algorithm is adaptive in the sense that any random fibre Bragg grating peak can be identified within a short wavelength range.
Źródło:
Opto-Electronics Review; 2022, 30, 4; art. no. e144227
1230-3402
Pojawia się w:
Opto-Electronics Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of generative models to speed up the discovery of materials
Autorzy:
Coto, Andrea Gregores
Precker, Christian Eike
Andersson, Tom
Laukkanen, Anssi
Suhonen, Tomi
Rodriguez, Pilar Rey
Muíños-Landín, Santiago
Powiązania:
https://bibliotekanauki.pl/articles/29520053.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
artificial intelligence
materials science
high-performance material
generative model
Opis:
Material Science is a key factor in the evolution of many industrial sectors. Fields such as the aeronautics, automotive, construction, and biotechnology industries have experienced tremendous development with the introduction of advanced, high-performance materials. Such materials not only provide new functionalities to products, but also significant consequences in terms of economic and environmental sustainability of the products and processes triggered by the more efficient use of energy that they provide. Under this scenario, materials that provide such high performance, such as high entropy alloys (HEAs) or polymer derived ceramics (PDCs), have captured the attention of both industry and researchers in recent years. However, the remarkable number of resources required to develop such materials, from its design phase to its synthesis and characterization, means that the discovery of new high-performance materials is moving at a relatively low pace. This fact places emergent strategies based on artificial intelligence (AI) for the design of materials in a good position to be used to accelerate the whole process, providing an impulse in the initial phases of materials design. The enormous number of combinations of elements and the complexity of synthesizability conditions of HEAs and PDCs respectively, paves the way to the deployment of AI techniques such as Generative Models addressed in this work to create synthetic HEAs and PDCs for highly intensive industrial processes. A specific conditional tabular generative adversarial network (CTGAN) was developed to be used on tabular data to generate novel synthetic compounds for each kind of material. The generated synthetic data was based on the conventional parametric design parameters used for HEAs and PDCs, with specific datasets created for them. The real and generated data are compared, calculation of phase diagrams (CALPHAD) simulations are provided to evaluate the performance of the generated samples and a verification of the novel generated compositions is done in open materials databases available in the literature.
Źródło:
Computer Methods in Materials Science; 2023, 23, 1; 13-26
2720-4081
2720-3948
Pojawia się w:
Computer Methods in Materials Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mask face inpainting based on improved generative adversarial network
Autorzy:
Liu, Qingyu
Juanatas, Roben A.
Powiązania:
https://bibliotekanauki.pl/articles/30148248.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
face inpainting
generative adversarial network
residual network
attention mechanism
Opis:
Face recognition technology has been widely used in all aspects of people's lives. However, the accuracy of face recognition is greatly reduced due to the obscuring of objects, such as masks and sunglasses. Wearing masks in public has been a crucial approach to preventing illness, especially since the Covid-19 outbreak. This poses challenges to applications such as face recognition. Therefore, the removal of masks via image inpainting has become a hot topic in the field of computer vision. Deep learning-based image inpainting techniques have taken observable results, but the restored images still have problems such as blurring and inconsistency. To address such problems, this paper proposes an improved inpainting model based on generative adversarial network: the model adds attention mechanisms to the sampling module based on pix2pix network; the residual module is improved by adding convolutional branches. The improved inpainting model can not only effectively restore faces obscured by face masks, but also realize the inpainting of randomly obscured images of human faces. To further validate the generality of the inpainting model, tests are conducted on the datasets of CelebA, Paris Street and Place2, and the experimental results show that both SSIM and PSNR have improved significantly.
Źródło:
Applied Computer Science; 2023, 19, 2; 25-42
1895-3735
2353-6977
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence: opportunities and concerns in the era of Big Data. Ethical and practical issues with decision-making and Generative AI in the era of ChatGPT
Sztuczna inteligencja: możliwości i obawy w erze Big Data. Etyczne i praktyczne kwestie związane z podejmowaniem decyzji i generatywną sztuczną inteligencją w erze ChatGPT
Autorzy:
Varvarà, Giulia
Powiązania:
https://bibliotekanauki.pl/articles/32388079.pdf
Data publikacji:
2023
Wydawca:
Fundacja PSC
Tematy:
Artificial intelligence
Ethics
Generative artificial intelligence
Data-driven decisions
Opis:
Artificial Intelligence has made impressive progress in the past few decades, and, especially in the last couple of years, so many different systems able to simulate human response in a very realistic and coherent way have been made available to the general public. This has opened the road to new possibilities for the use of AI in a variety of contexts, starting from the use of generative AI to the shortening of otherwise long working tasks (such as programming). However, it also created unforeseen issues that have yet to be addressed, since there is a lack of legal and ethical guidelines for the use of these new AI tools. This article analyses some of the most controversial applications of these new AI systems, highlighting both problems and ethical concerns, as well as the possible ways in which they can be dealt with in the future.
Źródło:
Alcumena. Pismo Interdyscyplinarne; 2023, 2(14); 85-100
2719-9851
Pojawia się w:
Alcumena. Pismo Interdyscyplinarne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
In a Methodological Trap: Review article of<i>The phonology of Danish</i>, by Hans Basbøll. Oxford: Oxford University Press, 2005
Autorzy:
Czarnecki, Przemysław
Powiązania:
https://bibliotekanauki.pl/articles/620734.pdf
Data publikacji:
2007-01-01
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
Danish
generative phonology
CVCV phonology
Occam's razor
phonetic realism
stød
Źródło:
Research in Language; 2007, 5; 235-250
1731-7533
Pojawia się w:
Research in Language
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Polish political browser games as generative metaphors: analysis of structures and functions
Autorzy:
Babecki, Miłosz
Powiązania:
https://bibliotekanauki.pl/articles/1955330.pdf
Data publikacji:
2021-06-15
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
generative metaphor
expressive metaphor
explanatory metaphor
Polish political browser games
Opis:
This article describes a study of 33 Polish political browser games, which are left of the set of 51 applications developed by Polish Internet users from 2005 to 2020. These considerations concern mainly the metaphorical messages conveyed in these games, in particular which features make browser games metaphorical messages, and what game structure is necessary to convey such messages. Differentiation of these game types is equally important. Owing to it, they can participate in expressive and explanatory communication.
Źródło:
Images. The International Journal of European Film, Performing Arts and Audiovisual Communication; 2021, 29, 38; 161-174
1731-450X
Pojawia się w:
Images. The International Journal of European Film, Performing Arts and Audiovisual Communication
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The effect of achene heteromorphism on progeny traits in the shaggy soldier [Galinsoga ciliata (Rafin) S. F. Blake]
Wpływ heteromorfizmu niełupek na kiełkowanie oraz wzrost i rozwój żółtlicy owłosionej [Galinsoga ciliata (Rafin) S. F. Blake]
Autorzy:
Kucewicz, M.
Gojlo, E.
Kowalska, A.
Powiązania:
https://bibliotekanauki.pl/articles/27191.pdf
Data publikacji:
2010
Wydawca:
Polskie Towarzystwo Botaniczne
Tematy:
achene
heteromorphism
progeny
shaggy soldier
Galinsoga ciliata
generative reproduction
growth
Opis:
The shaggy soldier [Galinsoga ciliata (Rafin) S. F. Blake], family Asteraceae] is an invasive species that poses a growing threat to crop production. This annual plant produces heteromorphic achenes in a capitulum type inflorescence. The objective of this study was to compare selected morphological and phenological parameters and the success of generative reproduction in plants developed from peripheral and central achenes of the capitulum. The somatic variability of G. ciliata diaspores contributed to differences in the growth rates, development and fertility of the resulting populations. The progeny of central diaspores developed at a slower rate than the individuals derived from peripheral achenes, but at the end of their life cycle, the offspring of dimorphic achenes formed homogenous groups as regards height values. On average, the initial phenophases of G. ciliata plants derived from central achenes began one day later, and they entered the flowering stage eight days later than the individuals developed from peripheral seeds. At the initial growth stage (experimental day 65 to 83), the progeny of central achenes produced fewer capitula. On day 133, the individual fertility of the plants derived from central diaspores was 10% higher on average in comparison with the offspring of peripheral achenes.
Źródło:
Acta Agrobotanica; 2010, 63, 2
0065-0951
2300-357X
Pojawia się w:
Acta Agrobotanica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Yet another research on GANs in cybersecurity
Autorzy:
Zimoń, Michał
Kasprzyk, Rafał
Powiązania:
https://bibliotekanauki.pl/articles/13946602.pdf
Data publikacji:
2023-02-20
Wydawca:
Akademia Sztuki Wojennej
Tematy:
cybersecurity
malware
artificial intelligence
machine learning
deep learning
generative adversarial networks
Opis:
Deep learning algorithms have achieved remarkable results in a wide range of tasks, including image classification, language translation, speech recognition, and cybersecurity. These algorithms can learn complex patterns and relationships from large amounts of data, making them highly effective for many applications. However, it is important to recognize that models built using deep learning are not fool proof and can be fooled by carefully crafted input samples. This paper presents the results of a study to explore the use of Generative Adversarial Networks (GANs) in cyber security. The results obtained confirm that GANs enable the generation of synthetic malware samples that can be used to mislead a classification model.
Źródło:
Cybersecurity and Law; 2023, 9, 1; 61-72
2658-1493
Pojawia się w:
Cybersecurity and Law
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A generative model for Deep Fake Augmentation of phonocardiogram and electrocardiogram signals using LSGAN and Cycle GAN
Generatywny model z Deep Fake Augumentation dla sygnałów z fonokardiogramu oraz elektrokardiogramu w strukturach LSGAN oraz Cycle GAN
Autorzy:
Rayavarapu, Swarajya Madhuri
Prasanthi, Tammineni Shanmukha
Kumar, Gottapu Santosh
Rao, Gottapu Sasibhushana
Prashanti, Gottapu
Powiązania:
https://bibliotekanauki.pl/articles/27315460.pdf
Data publikacji:
2023
Wydawca:
Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej
Tematy:
arrhythmia
auscultation
electrocardiogram
phonocardiogram
generative networks
arytmia
osłuchiwanie
elektrokardiogram
fonokardiogram
sieci generatywne
Opis:
In order to diagnose a range of cardiac conditions, it is important to conduct an accurate evaluation of eitherphonocardiogram (PCG)and electrocardiogram (ECG) data. Artificial intelligence and machine learning-based computer-assisted diagnostics are becoming increasingly commonplace in modern medicine, assisting clinicians in making life-or-death decisions. The requirement for an enormous amount of informationfor training to establish the framework for a deeplearning-based technique is an empirical challenge in the field of medicine. This increases the riskof personal information being misused. As a direct result of this issue, there has been an explosion in the study of methods for creating synthetic patient data. Researchers have attempted to generate synthetic ECG or PCG readings. To balance the dataset, ECG data were first created on the MIT-BIH arrhythmia database using LS GAN and Cycle GAN. Next, using VGGNet, studies were conducted to classify arrhythmias for the synthesized ECG signals. The synthesized signals performed well and resembled the original signal and the obtained precision of 91.20%, recall of 89.52% and an F1 scoreof 90.35%.
W celu zdiagnozowania szeregu chorób serca, istotne jest przeprowadzenie dokładnej oceny danych z fonokardiogramu (PCG)i elektrokardiogram (EKG). Sztuczna inteligencja i diagnostyka wspomagana komputerowo, oparta na uczeniu maszynowym stają sięcoraz bardziej powszechne we współczesnej medycynie, pomagając klinicystom w podejmowaniu krytycznych decyzji. Z kolei, Wymóg ogromnej ilości informacjido trenowania, w celu ustalenia platformy (ang. framework) techniki, opartej na głębokim uczeniu stanowi empiryczne wyzwanie w obszarze medycyny. Zwiększa to ryzyko niewłaściwego wykorzystania danych osobowych. Bezpośrednim skutkiem tego problemu był gwałtowny rozwój badań nad metodami tworzenia syntetycznych danych pacjentów. Badacze podjęli próbę wygenerowania syntetycznych odczytów diagramów EKG lub PCG. Stąd, w celu zrównoważenia zbioru danych, w pierwszej kolejności utworzono dane EKG w bazie danych arytmii MIT-BIH przy użyciu struktur sieci generatywnych LSGAN i CycleGAN. Następnie, wykorzystując strukturę sieci VGGNet, przeprowadzono badania, mające na celu klasyfikację arytmii na potrzeby syntetyzowanych sygnałów EKG. Dla wygenerowanych sygnałów, przypominających sygnał oryginalny uzyskano dobre rezultaty. Należy podkreślić,że uzyskana dokładność wynosiła 91,20%, powtarzalność 89,52% i wynik F1 –odpowiednio 90,35%.
Źródło:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2023, 13, 4; 34--38
2083-0157
2391-6761
Pojawia się w:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Cratos, Crisis and Cognition in Reference to Generative Anthropology and the Scene of Language/Culture Origin
Autorzy:
Złocka-Dąbrowska, Magdalena Alina
Powiązania:
https://bibliotekanauki.pl/articles/1195839.pdf
Data publikacji:
2021-03-27
Wydawca:
Uniwersytet Warszawski. Katedra Italianistyki. Polskie Towarzystwo Retoryczne
Tematy:
Kratos
kryzys
poznanie
przemoc
antropologia generatywna
Cratos
crisis
cognition
violence
Generative Antropology
Opis:
This article will interpret Cratos, a mythic character and rhetorical personification present in the works of Hesiod and Aeschylus, as a multilayered and metaphoric figure of cognition, defining him in reference to the hypothesis of the origin of language and culture advanced by Eric Gans’s Generative Anthropology. Cratos was a violent oppressor of Prometheus, involved in provoking a crisis among both gods and humanity. This faithful and ruthless performer of the will of Zeus is viewed here as representing one of the deeper cognitive layers of mythological transfer, that is, as a representation of deferred, but always and anywhere prevalent intra-specific violence, the fundamental source and testimony of crisis in human societies.
Artykuł stanowi interpretację Kratosa, mitycznej i retorycznej personifikacji obecnej w pracach Hezjoda i Ajschylosa, jako wielowarstwowej i metaforycznej figury poznania, definiowanej w odniesieniu do hipotezy o pochodzeniu języka i kultury, zawartej w Antropologii Generatywnej Eryka Gansa. Kratos był brutalnym ciemiężycielem Prometeusza, zaangażowanym w wywołanie kryzysu między bogami i ludzkością. Ten wierny i bezwzględny wykonawca woli Zeusa jest rozumiany przez autorkę jako reprezentacja jednej z głębszych warstw poznawczych przekazu mitologicznego, czyli odroczonej, ale zawsze i wszędzie panującej przemocy, podstawowego źródła i świadectwa obecności kryzysu w ludzkich społecznościach.
Źródło:
Res Rhetorica; 2021, 8, 1; 137-151
2392-3113
Pojawia się w:
Res Rhetorica
Dostawca treści:
Biblioteka Nauki
Artykuł

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