Trauma and Social Pathways to Psychosis, and Where the Two Paths Meet

The pathways from trauma—via dissociation—to psychosis have been thoroughly tested and evidenced, but what has received less attention has been the social pathways—via dissociation—to psychosis. Often social factors are more commonly linked to other influences, e.g., to appraisals and the creation of negative schema in cognitive models, or to unsupportive caregiving experiences where there is high “expressed emotion.” However, evidence is now emerging that negative social rank experiences, such as being excluded or shamed, may themselves have dissociative properties, which poses intriguing questions as to how trauma pathways and social pathways might interact. This article reviews the state of knowledge in trauma and social pathways to psychosis and then considers the potential mechanisms and the relationships between them, specifically (i) dissociation, (ii) attachment, and (iii) social rank. Recommendations are suggested for future modeling and testing of three-way interactions (dissociation × attachment × social rank) in the pathway from trauma to psychosis.

Development of object state evaluation method in intelligent decision support systems

Accurate and objective object analysis requires multi-parameter estimation with significant computational costs. A methodological approach to improve the accuracy of assessing the state of the monitored object is proposed. This methodological approach is based on a combination of fuzzy cognitive models, advanced genetic algorithm and evolving artificial neural networks. The methodological approach has the following sequence of actions: building a fuzzy cognitive model; correcting the fuzzy cognitive model and training knowledge bases. The distinctive features of the methodological approach are that the type of data uncertainty and noise is taken into account while constructing the state of the monitored object using fuzzy cognitive models. The novelties while correcting fuzzy cognitive models using a genetic algorithm are taking into account the type of data uncertainty, taking into account the adaptability of individuals to iteration, duration of the existence of individuals and topology of the fuzzy cognitive model. The advanced genetic algorithm increases the efficiency of correcting factors and the relationships between them in the fuzzy cognitive model. This is achieved by finding solutions in different directions by several individuals in the population. The training procedure consists in learning the synaptic weights of the artificial neural network, the type and parameters of the membership function and the architecture of individual elements and the architecture of the artificial neural network as a whole. The use of the method allows increasing the efficiency of data processing at the level of 16–24 % using additional advanced procedures. The proposed methodological approach should be used to solve the problems of assessing complex and dynamic processes characterized by a high degree of complexity.

Reframing Reality of Online Learning on the Basis of Internet Memes

The paper sets out to investigate the interplay between image and text with reference to chosen cognitive models in order to pinpoint the image of distance learning during the COVID-19 pandemic. The bilateral nature of memes will be discussed in relation to the cognitive linguistics framework, in particular the Conceptual Metaphor Theory (CMT) (Lakoff and Johnson 1980, Kovecses 2002, Forceville 1996, 2008, 2009), Frame Semantics (Fillmore 1988) construal (Langacker 1987, 2008), blending theory (Fauconnier and Turner 2002), Discourse Viewpoint Space (Dancyngier and Vandelanotte 2017).

Internet News Headlines: Ontological and Orthological Aspects

The author presents the results of a multidimensional analysis of Internet news headlines based on the headings of the Yandex news aggregator. The issue of the text status of news headlines is considered. When solving this problem, special attention is paid to the formation of correlative paradigms of headings, united by a common denotative meaning. Methods of semantic interaction of heading paradigms based on different types of topic-rhematic deployment are described. It is proved that the paradigms of headings, complementing each other in informational and pragmatic aspects, form the discourse of Internet headings. It is concluded that this way of functioning of headlines enhances their semantic and visual autonomy from the news text, which allows us to consider Internet news headlines as minitext. The frequency methods of lexico-syntactic transformations of the original headings are analyzed, on the basis of which the constituents of paradigms are formed. At the same time, attention is focused on the orthological aspect of Internet headers. The author comes to the conclusion that the focus on the variability and efficiency of headings leads not only to the appearance of lexical and grammatical errors, but also to their replication and consolidation in the mind of the addressee as a result of changes in the structure of cognitive models.

Cognitive Models for Gastronomic Creation and Innovation

Based on the reflections of super-chef Ferran Adrià and his team at el Bulli restaurant, thispaper explores how certain creative mechanisms, techniques and procedures surroundingavant-garde gastronomy can be analysed from an enactivist model of cognition in order to:(1) understand creativity in the kitchen; (2) characterise culinary innovation processes; (3)establish whether some of these processes are general enough to be re-used in other fieldsand so broaden our theoretical understanding of the processes and mechanisms involvedin creation and innovation. We present those features that are specific to gastronomy as acreative process to distinguish them from others that are generic enough to form part of alarger family of creative processes. The paper seeks to present new perspectives on bothsubject-specific and generic creation processes in haute cuisine.

Metaphors and the Degree of Conventionality in Translation of Prose Fiction: A Fraction of the Whole in Focus

The idea of metaphor classification is regarded as how felicitously they are entrenched in everyday language spoken by ordinary people. Metaphor conventionality can be regarded as a scale whose opposite ends constitute conventional and creative metaphors. Logic indicates that the majority of linguistic metaphors are well-worn and conventional rather than novel, since an excess of novel metaphors may remarkably bring about “communicative surprise” (Rabadán Álvarez, 1991) thus increase cognitive processing time and even hinder perceiving. Metaphorical creativity, as the other extreme of the scale of conventionality, can be looked at as the use of conceptual metaphors and/ or their linguistic manifestations that are creative or novel. This study seeks to scrutinize the scale of conventionality in the Persian translation of A Fraction of the Whole. MIP known as Metaphor Identification Procedure put forward by the Pragglejaz Group (2007) was employed in the study to identify metaphors. The findings reveal that, sometimes, the metaphors used in L1 are novel or creative, but the translator draws upon conventional or entrenched ones in L2, or vice versa. The aim is to show the translator's choice of metaphor in terms of a conventionality scale using some previous cognitive models in this regard.

Cognitive Models of Loneliness in Women in Early and Middle Adulthood

The problem of loneliness is caused by a disunity and alienation of modern society, dissatisfaction with the basic social needs for acceptance and support. The fact that the subjective feeling of loneliness does not coincide with the real degree of social isolation determines the need to study the cognitive aspects. The aim of this study is to show the role of cognitive structures in loneliness in women. A survey of 144 women aged 26-55 years was conducted. Using the UCLA Loneliness Scale and the Differential Loneliness Experience Questionnaire, loneliness was measured as a global experience, positive and negative attitudes towards it. Cognitive models were studied using the Dysfunctional Attitude Scale, Young Schema Questionnaire, the author’s questionnaire that reveals cultural myths and gender stereotypes about loneliness. A comparative analysis of the groups showed no differences in the perception of loneliness among women with different family situations; it also does not depend on having children and their number. Age was found to be a significant determinant of perceptions of loneliness and family circumstances. Cognitive models influence women’s loneliness to a greater extent than family situation. The publication describes correlations between perceived loneliness and individual dysfunctional attitudes, and builds regression models of predictors of loneliness in different age groups. The study shows the prevalence of cultural stereotypes about the need for marriage and motherhood, and a special female vulnerability in relationships. The construct “tolerance to loneliness” is proposed and described, which reveals the positive potential of this experience for self-knowledge and self-development.

Troubleshooting Bayesian cognitive models: A tutorial with matstanlib

Using Bayesian methods to apply computational models of cognitive processes, or Bayesian cognitive modeling, is an important new trend in psychological research. The rise of Bayesian cognitive modeling has been accelerated by the introduction of software such as Stan and PyMC3 that efficiently automates the Markov chain Monte Carlo (MCMC) sampling used for Bayesian model fitting. Unfortunately, Bayesian cognitive models can struggle to pass the computational checks required of all Bayesian models. If any failures are left undetected, inferences about cognition based on model output may be biased or incorrect. As such, Bayesian cognitive models almost always require troubleshooting before being used for inference. Here, we present a deep treatment of the diagnostic checks and procedures that are critical for effective troubleshooting, but are often left underspecified by tutorial papers. After a conceptual introduction to Bayesian cognitive modeling and MCMC sampling, we outline the diagnostic metrics, procedures, and plots necessary to identify problems in model output with an emphasis on how these requirements have recently been improved. Throughout, we explain how the most commonly encountered problems may be remedied with specific, practical solutions. We also introduce matstanlib, our MATLAB modeling support library, and demonstrate how it facilitates troubleshooting of an example hierarchical Bayesian model of reinforcement learning implemented in Stan. With this comprehensive guide to techniques for detecting, identifying, and overcoming problems in fitting Bayesian cognitive models, psychologists across subfields can more confidently build and use Bayesian cognitive models.All code is freely available from github.com/baribault/matstanlib.

Cognitive Mechanisms of Nominating Plants in English

The article deals with cognitive models underlying the process of plant categorization by the speakers. Having analyzed 200 names of herbs and flowers in English, the authors differentiated three cognitive models, which the phytonyms categorization is based on: metaphoric, metonymic and propositional. It is shown that "the codes of culture", or in other words, well-known realia, are used as sources for nomination; on their basis typical cognitive models are formed. Since the names of flowers and herbs in the English language are mostly compound words, the identified cognitive models are described taking into account the action of the cognitive word-formation mechanisms of proverse and reverse. The first mechanism structure of a phytonym presupposes the direct order of compound-word components as a result of the initial word-combination integration. This word building mechanism is typical of the compound structures "adjective / verb + noun". The reversive mechanism represents the inner structure of a phytonym as a result of reverse transformation of the word-combination initial components. This type of mechanism is characteristic of the phytonyms created on the basis of the structures "noun + noun", "noun + ' + noun". The article describes the models of proverse and reverse structuring, which are typical of English phytonyms. The prospects of the research are to study the cognitive models and mechanisms underlying plant nomination in a comparative aspect based on the material of several languages.