A dynamic network model of translatorial cognition and action

2013 ◽  
Vol 2 ◽  
pp. 151-182 ◽  
Author(s):  
Hanna Risku ◽  
Florian Windhager ◽  
Matthias Apfelthaler
Keyword(s):  
Cognitive Science ◽  
Complex Dynamics ◽  
Empirical Studies ◽  
Dynamic Network ◽  
Translation Process ◽  
Dynamic Network Model ◽  
Individual Cognition ◽  
Process Perspective ◽  
Static Versus Dynamic ◽  
Research Endeavor

As an interdisciplinary research endeavor into the foundations of human and artificial intelligence, cognitive science has substantial contributions to offer to the field of translation studies. Like any other explanatory approach to socially embedded and organized behavior, cognitive science deals with hard-to-resolve dichotomies such as static versus dynamic approaches, lab- or field-based methods or the opposing views of individual and social explanations. To introduce current theoretical developments from cognitive science, we offer a conceptual framework that conceives these apparent dichotomies as complementary perspectives and helps us to cope with the nested and embedded nature of translatorial cognition and action. For this purpose, we specify a dynamic network analytical model which treats acts of individual cognition and (inter)action as being constitutively interwoven with their social, symbolic and material environments and combine all its elements into a coherent dynamic process perspective. In our outlook, we discuss this extended model’s potential to structure the ongoing theoretical debate on translation process research, as well as its ability to serve as a scaffold for defining and contextualizing empirical studies and thus guiding research into the complex dynamics of translation as a situated activity.

scholarly journals Anticipating employment location patterns in economic regions: modeling complex dynamics

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Sanda Kaufman ◽  
Miron Kaufman ◽  
Mark Salling
Keyword(s):  
Complex Dynamics ◽  
Dynamic Network ◽  
Decision Makers ◽  
Policy Makers ◽  
The Public ◽  
Social Ecological Systems ◽  
Dynamic Network Model ◽  
Location Patterns ◽  
Employment Location ◽  
Economic Regions

Abstract Complex social-ecological systems—such as cities and regions—change in time whether or not we intervene through plans and policies. This is due in part to the numerous individual and organizational actors who make self-interested, unilateral decisions. Public decision makers are expected to act in the public interest and are accountable to constituents. They need the ability to explore alternatives, select ones that are likely to benefit the public, and avoid or mitigate negative outcomes. Predicting processes and outcomes in the context of complex systems is risky, however, and mistakes can be costly. Switching from prediction of specific future states to anticipation of possible ranges of futures may help contend with the uncertainties inherent in these systems. We propose here a dynamic network model for generating ranges of possible futures for employment location in an economic region. The model can be used to anticipate employment location effects of various policies. First, using historical (2002–2015) number and location of jobs in two rather different metropolitan areas, we calibrate the model for each and validate it against actual data. Having found that the model performs well, we show how policy makers can use it to ask what-if questions regarding proposed policies to either attract businesses to specific locations or discourage them from locating in parts of the region.

Translation meets cognitive science: The imprint of translation on cognitive processing

Multilingua ◽  
2015 ◽  
Vol 34 (6) ◽  
Author(s):  
Ana Rojo
Keyword(s):  
Cognitive Science ◽  
Cognitive Processing ◽  
Language Processing ◽  
Cognitive Linguistics ◽  
Empirical Studies ◽  
Translation Process ◽  
Translation Research ◽  
Potential Impact ◽  
Combined Work ◽  
Additional Role

AbstractTranslation has long played a role in linguistic and literary studies research. More recently, the theoretical and methodological concerns of process research have given translation an additional role in cognitive science. The interest in the cognitive aspects of translation has led scholars to turn to disciplines such as cognitive linguistics, psycholinguistics or even neurology in search of innovative approaches and research methods. This paper reviews current issues in translation studies, and a variety of empirical studies that may contribute to enlarging our knowledge of translation. The intention is to show that the combined work of disciplines from cognitive science may be influential, not only in defining the factors that underpin the translation process and the translator’s work, but also in describing the potential impact that translation research has on communication and language processing.

The dynamic nature of depression: a new micro-level perspective of mental disorder that meets current challenges

2013 ◽  
Vol 44 (7) ◽  
pp. 1349-1360 ◽  
Author(s):  
M. Wichers
Keyword(s):  
Dynamic Network ◽  
Building Blocks ◽  
Major Depressive ◽  
Dynamic Network Model ◽  
Healthy State ◽  
Behavioural Patterns ◽  
Micro Level ◽  
Continuous Dynamic ◽  
Dynamic Interplay ◽  
Over Time

The examination of moment-to-moment, ‘micro-level’ patterns of experience and behaviour using experience sampling methodology has contributed to our understanding of the ‘macro-level’ development of full-blown symptoms and disorders. This paper argues that the micro-level perspective can be used to identify the smallest building blocks underlying the onset and course of mental ill-health. Psychopathology may be the result of the continuous dynamic interplay between micro-level moment-to-moment experiences and behavioural patterns over time. Reinforcing loops between momentary states may alter the course of mental health towards either a more or less healthy state. An example with observed data, from a population of individuals with depressive symptoms, supports the validity of a dynamic network model of psychopathology and shows that together and over time, this continuous interplay between momentary states may result in the cluster of symptoms we call major depressive disorder. This approach may help conceptualize the nature of mental disorders, and generate individualized insights useful for diagnosis and treatment in psychiatry.

Dynamic Network Model Analysis Based on Communication Network

2014 ◽  
Vol 989-994 ◽  
pp. 2639-2642
Author(s):  
Nan Qi Yuan ◽  
Tian Jiang ◽  
Shi Bai ◽  
Hao Sun ◽  
Jing Mei Zhao
Keyword(s):  
Communication Network ◽  
Convergence Rate ◽  
Network Model ◽  
Dynamic Network ◽  
Model Analysis ◽  
Vicsek Model ◽  
Dynamic Network Model ◽  
Weighted Model

In order to research dynamic network astringency reaching uniformity, this paper perfects the Vicsek model and puts forward improving dynamic network astringency efficiency by weighted model. We prove that the convergence rate of weighted model is faster than the classic Vicsek model and it can optimize dynamic network.

Deterring the development and use of nuclear weapons: a multi-level modeling approach

2017 ◽  
Vol 15 (4) ◽  
pp. 483-493
Author(s):  
Kathleen M Carley ◽  
Geoffrey P Morgan ◽  
Michael J Lanham
Keyword(s):  
Nuclear Weapons ◽  
Dynamic Network ◽  
Pacific Rim ◽  
Country Level ◽  
Dynamic Network Model ◽  
The Pacific ◽  
Stakeholder Model ◽  
Using Data ◽  
Multi Stakeholder ◽  
The Impact

We describe a multi-country, multi-stakeholder model for the accrual and use of nuclear weapons and illustrate the model’s value for addressing nuclear weapon proliferation issues using a historic Pacific Rim scenario. We instantiate the agent-based dynamic network model for information and belief diffusion using data from subject matter experts and data mined from open source news documents. We present the techniques that supported model instantiation. A key feature of this model and these techniques is enabling rapid model re-use through the ability to instantiate at two levels: generically and for specific cases. We demonstrate these generic and specific cases using a scenario regarding North Korea’s interest in nuclear weapons and the resulting impact on the Pacific Rim circa 2014, that is, prior to the fourth and fifth nuclear weapons tests by the Democratic People’s Republic of Korea. A key feature of this model is that it uses two levels of network interaction, the country level and the stakeholder level, thus supporting the inclusion of non-state actors and the assessment of complex scenarios. Using this model, we conducted virtual experiments in which we assessed the impact of alternative courses of action on the overall force posture and desire to develop and use nuclear weapons.

scholarly journals Geodetic evaluation of terrain surface subsidence around mine shifts of KWK Bogdanka in 1976-1983

2013 ◽  
Vol 12 (3) ◽  
pp. 075-082
Author(s):  
Witold Borowski ◽  
Jacek Zyga
Keyword(s):  
Dynamic Model ◽  
Process Parameters ◽  
Land Subsidence ◽  
Rural Areas ◽  
Deformation Process ◽  
Dynamic Network ◽  
Surface Subsidence ◽  
Rock Deformation ◽  
Dynamic Network Model ◽  
Measuring Network

An attempt to apply a measuring dynamic network model into land subsidence process evaluation is described in the presented essay. The surface subsidence process, occurring on rural areas around KWK Bogdanka, is suspected to be consequent upon orogen drainage, related to drilling of mining shafts. The elaboration of archival measuring data with the use of a dynamic model of measuring network enabled to extend the interpretation extension of the interpretation of the observed settlements process for potential drainage process parameters, affecting a specific rock deformation process.

scholarly journals SIS dynamic network model based on product semantics from the perspective of infectious disease dynamics

2021 ◽  
Vol 235 ◽  
pp. 03035
Author(s):  
jiaojiao Lv ◽  
yingsi Zhao
Keyword(s):  
Network Model ◽  
Purchase Intention ◽  
Recommendation System ◽  
Optimal Algorithm ◽  
Dynamic Network ◽  
Distribution Model ◽  
Recommendation Algorithm ◽  
Model Based ◽  
Dynamic Network Model ◽  
Recommendation Algorithms

Recommendation system is unable to achive the optimal algorithm, recommendation system precision problem into bottleneck. Based on the perspective of product marketing, paper takes the inherent attribute as the classification standard and focuses on the core problem of “matching of product classification and recommendation algorithm of users’ purchase demand”. Three hypotheses are proposed: (1) inherent attributes of the product directly affect user demand; (2) classified product is suitable for different recommendation algorithms; (3) recommendation algorithm integration can achieve personalized customization. Based on empirical research on the relationship between characteristics of recommendation information (independent variable) and purchase intention (dependent variable), it is concluded that predictability and difference of recommendation information are not fully perceived and stimulation is insufficient. Therefore, SIS dynamic network model based on the distribution model of SIS virus is constructed. It discusses the spreading path of recommendation information and “infection” situation of consumers to enhance accurate matching of recommendation system.

scholarly journals Vital Energy and Afterlife: Implications for Cognitive Science of Religion

2015 ◽  
Vol 25 (61) ◽  
pp. 145-152 ◽  
Author(s):  
Maira Monteiro Roazzi ◽  
Carl N. Johnson ◽  
Melanie Nyhof ◽  
Silvia Helena Koller ◽  
Antonio Roazzi
Keyword(s):  
Theory Of Mind ◽  
Literature Review ◽  
Cognitive Science ◽  
Empirical Studies ◽  
Cognitive Science Of Religion ◽  
Science Of Religion ◽  
Culture And Development ◽  
Supernatural Agency ◽  
Intuitive Theory

Literature investigating people’s concepts of supernatural agency (such as ghosts and deities) points to an intuitive theory of mind underlying such ideas, however, recent studies suggest that intuitive ideas over vital energy could also be involved. The present paper focuses on examining the culture and development of people’s conceptions on vital energy. A search was made using the keyword vital energy targeting literature from Anthropology, Psychology and Cognitive Science. A literature review over this topic was made yielding reflections over the development of vital energy concepts. Results suggest that an intuitive biology, grounded on ideas of biological energy (vital energy), may underlie an understanding of soul, spirit, and supernatural energy. Future empirical studies should target the development of vital energy intuitive theories with different age ranges and cultures.

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