Body–Mind Integrality: Remarks on the Nature and Origin of Universe and Life

This article summarizes scientific knowledge in the fields of quantum physics and medical science regarding the origin and the nature of the universe and life. The recent discoveries in the fields of biophysics, genetics, epigenetics, neuroscience, and psychosomatics describe the universe and life as highly coherent systems where information is a key factor. In this concept living systems are cognitive networks in a dynamic relationship with their environment. Health in this context is a dynamic balance in a subject in which the information flows functionally. Disease is identified as a pathology of information that can be classified in a new way, considering two different codes of meaning—the semiotic and the symbolic.     

Big toy models

We pursue a model-oriented rather than axiomatic approach to the foundations of Quantum Mechanics, with the idea that new models can often suggest new axioms. This approach has often been fruitful in Logic and Theoretical Computer Science. Rather than seeking to construct a simplified toy model, we aim for a ??big toy model??, in which both quantum and classical systems can be faithfully represented??as well as, possibly, more exotic kinds of systems. To this end, we show how Chu spaces can be used to represent physical systems of various kinds. In particular, we show how quantum systems can be represented as Chu spaces over the unit interval in such a way that the Chu morphisms correspond exactly to the physically meaningful symmetries of the systems??the unitaries and antiunitaries. In this way we obtain a full and faithful functor from the groupoid of Hilbert spaces and their symmetries to Chu spaces. We also consider whether it is possible to use a finite value set rather than the unit interval; we show that three values suffice, while the two standard possibilistic reductions to two values both fail to preserve fullness.     

Understanding reading as a form of language-use: A language game hypothesis

Reading research and research on conversation have followed different paths: While the research program for reading committed itself to a relatively static view of language, where objective text properties serve to elicit specific effects on cognition and behavior of a reader, research on conversation has embraced a language-use perspective, where language is primarily seen as a dynamic, context dependent process. In this essay I contrast these two perspectives, and argue that in order to reach a unified understanding of natural language – be it reading, talking, or conversing – one needs to adopt a language-use perspective. Furthermore, I describe how reading can be seen as a form of language-use, and how the current landscape of research on reading can be re-interpreted in terms of a dynamic, context-sensitive perspective on language. In particular, I propose that the concept of ‘language games’ serves as a good starting point to conceive reading as a form of language-use, describe how one can derive first concrete hypotheses by re-interpreting reading in terms of language games, and show how they can be readily operationalized using tools from dynamic systems analysis.     

Social dynamics in the preschool

In this paper, we consider how concepts from dynamic systems (such as attractors, repellors, and self-organization) can be applied to the study of young children’s peer relationships. We also consider how these concepts can be used to explore basic issues involving early peer processes. We use the dynamical systems approach called state space grid (SSG) analysis and consider how it can be expanded beyond the study of dyads to the study of larger social groups and networks. In particular, we explore the role of homophily—that is, behavioral and sex similarity—as factors in the self-organization of young children’s social groups. A dynamic systems approach allows for consideration of peer processes difficult to assess using more traditional approaches.     

Using network science to analyze concept maps of psychology undergraduates

Network science is an emerging area of complexity science that uses mathematical techniques to study complex systems and could represent a new way of quantifying and investigating the internal structure of domain‐specific knowledge as approximated by students' concept maps. Students enrolled in introductory psychology constructed concept maps to represent their understanding of a psychology chapter. Concept networks were constructed based on the concept maps generated by students. Network analysis revealed that the structure of concept networks differed across students (i.e., some networks were better connected than others), and network structure significantly predicted quiz scores, such that concept networks with larger average shortest path lengths (a network metric representing the average of the shortest paths between two nodes in a network) were associated with higher quiz scores, after controlling for network size. This paper illustrates how network science techniques can be used to quantify the conceptual structure of a learner's knowledge.     

Topological Groupoid Quantales

We associate a canonical unital involutive quantale to a topological groupoid. When the groupoid is also étale, this association is compatible with but independent from the theory of localic étale groupoids and their quantales [9] of P. Resende. As a motivating example, we describe the connection between the quantale and the C*-algebra that both classify Penrose tilings, which was left as an open problem in [5].     

New Directions in the Conceptualization and Assessment of Personality—A Dynamic Systems Approach

In this paper, we demonstrate how an integrative approach to personality—one that combines within-person and between-person differences—can be achieved by drawing on the principles of dynamic systems theory. The dynamic systems perspective has the potential to reconcile both the stable and dynamic aspect of personality, it allows including different levels of analysis (i.e. traits and states), and it can account for regulatory mechanisms, as well as dynamic interactions between the elements of the system, and changes over time. While all of these features are obviously appealing, implementing a dynamic systems approach to personality is challenging. It requires new conceptual models, specific longitudinal research designs, and complex data analytical methods. In response to these issues, the first part of our paper discusses the Personality Dynamics model, a model that integrates the dynamic systems principles in a relatively straightforward way. Second, we review associated methodological and statistical tools that allow empirically testing the PersDyn model. Finally, the model and associated methodological and statistical tools are illustrated using an experience sampling methodology data set measuring Big Five personality states in 59 participants (N = 1916 repeated measurements). © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology     

Classroom applications of stimulus equivalence technology

We review basic concepts and methods of stimulus equivalence research and suggest applications in teaching rudimentary language arts skills in the classroom. We describe methods of establishing equivalence-based networks of matching-to-sample, writing, and naming performances. The methods may be used as a supplement to classroom instruction to assess whether standard curriculum-based approaches establish such integrated networks. Methods derived from equivalence research may be useful for remediation when traditional teaching approaches fail. Recent research suggests that direct focus on spelling performances may be required if entire networks of language arts skills are to be acquired. In addition, the equivalence relations themselves may require concentrated teaching in some children.     

Individual and structural origins of friendship and social position among professionals

Friendship affects individual and organizational well-being through direct relations, social positions, and complex network structures. In this study, the authors use longitudinal data from 2 groups of master's of business administration students to increase understanding of how friendship networks develop. The authors propose and test a dynamic model in which attribute similarity facilitates dyadic friendship ties, as well as similar network centrality and social position; early friendship increases later similarity in structural position and centrality; and early structural similarity enhances the likelihood of future friendship. Findings largely supported the model, demonstrating how homophily and early social contacts can jointly shape maturing friendship networks.     

Bridging the representational gap in the dynamic systems approach to development

We describe the relationship between the dynamic systems approach to development and a recent approach to the dynamics of representational states – the dynamic field approach. Both approaches share an emphasis on the concepts of stability (attractor states), instability (especially bifurcations), soft-assembly and flexibility. But the dynamic field approach adds the concept of ‘activation’ to capture the strength with which behaviorally relevant information is specified. By explicitly linking these dynamic systems approaches, we allow for more direct comparisons between dynamic systems theory and connectionism. We note three current differences between these two approaches to development: (1) the notion of stability is central to how representational states are conceptualized in the dynamic field approach; (2) the dynamic field approach is more directly concerned with the sensorimotor origins of cognition; and (3) the dynamic approach is less advanced with regard to learning. We conclude that proponents of the two approaches can learn from the respective strengths of each approach. We suspect these differences will largely disappear in the next 20 years.     

The place of once-weekly treatment in the work of an analytically trained child psychotherapist

In this paper, I explore how we might link ideas about clinical facts to current issues in child psychotherapy research. I consider what our understanding of clinical facts might contribute to our research methods and how our research methods might better represent the clinical facts. The paper introduces a selection of psychoanalytic writers' formulations of the concept and describes some of the debates about the shortcomings of the traditional style of case reporting. The importance of keeping emotional experience central in our research is discussed. I describe a research method that I believe has the potential to capture and describe some of the complicated processes of change in psychotherapy. This is the concept of the ‘turning point’ session. Introducing the paradigm of complexity theory, I briefly explore how we might think about and understand the relationship between processes revealed through detailed analysis of a single session and change over a longer period of therapy.     

Relations of Power in Different Spaces: An Exploration of the Schooling Experiences of Children in an HIV/AIDS Context

In this article we explore how the concept of relations of power in different spaces plays out in the lives of school children living in an HIV/AIDS context, and how processes of inclusion and exclusion are associated with particular spaces. The article uses Foucault's (2000) identification of four distinct relations of power to argue that within different school spaces we find economic, political, judicial and epistemological relations of power that are embedded in the way children experience reality. The study was conducted in five primary schools, three secondary schools, one early Childhood Education (ECD) centre, a special school and their communities in the province of KwaZulu Natal. Participants were teachers, learners, out of school youth, and members of community organisations working in the district. Data collection methods included individual and focus group interviews. Within the focus group interviews various participatory research techniques were used, including ranking exercises, projective activities, transect walk, body mapping, photo voice. The findings in the study revealed three complex and contradictory schooling spaces: policy space, curriculum space, and safe spaces in which learners' schooling lives are played out. The study showed that space is fundamental in the exercise of power as revealed in the exclusionary and inclusionary ways in which children experienced their schooling lives.     

A model of type theory in simplicial sets: A brief introduction to Voevodsky's homotopy type theory

We describe how to interpret constructive type theory in the topos of simplicial sets where types appear as Kan complexes and families of types as Kan fibrations. Since Kan complexes may be understood as weak higher-dimensional groupoids this model generalizes and extends the (ordinary) groupoid model which was introduced by M. Hofmann and the author about 20 years ago. Finally, we discuss Voevodsky's Univalence Axiom which has been shown to hold in this model. This axiom roughly states that isomorphic types are equal. The type theoretic notion of isomorphism provided by this model coincides with homotopy equivalence of Kan complexes. For this reason it has become common to refer to it as Homotopy Type Theory.     

Statistical Evaluation of Algebraic Constraints for Social Networks

A multirelational social network on a set of individuals may be represented as a collection of binary relations. Compound relations constructed from this collection represent various labeled paths linking individuals in the network. Since many models of interest for social networks can be formulated in terms of orderings among these labeled paths, we consider the problem of evaluating an hypothesized set of orderings, termed algebraic constraints. Each constraint takes the form of an hypothesized inclusion relation for a pair of labeled paths. In this paper, we establish conditions under which sets of such constraints may be regarded as partial algebras. We describe the structure of constraint sets and show that each corresponds to a subset of consistent relation bundles between pairs of individuals. We thereby construct measures of fit for a given constraint set. Then, we show how, in combination with the assumption of various conditional uniform multigraph distributions, these measures lead to a flexible approach to the evaluation of fit of an hypothesized constraint set. Several applications are presented and some possible extensions of the approach are briefly discussed. Copyright 2000 Academic Press.     

Communication and Structured Correlation

Philosophers and social scientists have recently turned to Lewis sender–receiver games to provide an account of how lexical terms can acquire meaning through an evolutionary process. However, the evolution of meaning is contingent on both the particular sender–receiver game played and the choice of evolutionary dynamic. In this paper I explore some differences between models that presume an infinitely large and randomly mixed population and models in which a finite number of agents communicate with their neighbors in a social network. My results show that communication with neighbors is more conducive to the evolution of meaning than communication with strangers. Additionally, I show that the behavior of the system is highly dependent on the topological structure of the social network. I argue that a specific class of networks—small world graphs—is especially conducive to the evolution of meaning. This is because small world graphs have a short characteristic path length while still maintaining a high degree of correlation between neighbors. Since many actual social networks, such as friendship networks and nervous systems, are conjectured to be small world structures, these results indicate that these networks are quite hospitable to the efficient evolution of meaning.     

Circling the wagons or opening the circle

“To approach eudaimonia or human flourishing,” Darcia Narvaez writes, “one must have a concept of human nature… a normal baseline.” This article asks: what is the human baseline so that we may develop public policy to suit and advance human and planetary flourishing? It proposes that our “baseline” is relational, where each person becomes her singular self through networks of relations with others and planet. Relationality is explored through Trinity, covenant, evolutionary biology, and psychology. The article concludes that public policy must be grounded not in “us-them” thinking but in relationality as this is how we are created.     

Risky Business: Harlem Pimps’ Work Decisions and Economic Returns

ABSTRACT

In this mixed methods study of 56 entry-level pimps in Harlem, NY, we explore how pimps’ choices to use violence or control differ by where they are selling sex, who their clientele are, and whether these violent and controlling behaviors yield higher returns. First, we qualitatively explore how pimps account for each of these choices, and how each group of choices are related to the other choices. Second, we use bivariate statistical techniques to see whether there are associations in this sample between pimps’ ages and each of those decisions, and between each of those decisions and reported earnings. We find that younger pimps work with clients and sex workers in their social networks because they are easier to hold accountable, which leads younger pimps to bypass the self-reported risks involved with more violent work, but also tends be associated with lower self-reported earnings. Older pimps gravitate toward stranger clients, which involves more risk but higher earnings. Most pimps do not describe regularly using violence either against sex workers or to protect sex workers, but the use of violence is more common among older pimps. The accounts of regularly using violence with workers are not associated with higher earnings. The idea that pimps control most aspects of how sex workers labor and other aspects of their lives such as where they live are not substantiated by the accounts of the pimps themselves, but we do find older pimps describe exerting more control over sex workers than younger pimps. We discuss the implications of our findings, which demonstrate that pimps are a diverse group who see their own violence and control decisions as related to age, location, clientele, and perceived risks and rewards.     

New nonlinear and dynamic avenues for the study of work and organizational psychology: an introduction to the special issue

ABSTRACT

Nonlinear and dynamic approaches are two main principles of complex systems. The work and organizational psychology field has recently applied these concepts to understand human behaviour at work. In this introductory paper, we describe how human behaviour at work can be understood from a nonlinear and dynamic perspective, developing and applying the advantages of this approach to continue moving beyond the frontiers of our knowledge. We focus on the theoretical, methodological, and epistemological implications of the nonlinear dynamic approach in the field. Then, we present the five papers included in this special issue. These papers have applied nonlinear and dynamic concepts to understand a wide range of phenomena: subordinates-supervisors relationships, team behaviour, deviant workplace behaviour, transformational leadership, and training transfer. Overall, these papers demonstrate the utility of nonlinear dynamics in our field and how we can create more time-sensitive and complex knowledge by paying special attention to when and how phenomena happen and how such phenomena interrelate over time.     

Functional connectivity dynamics during film viewing reveal common networks for different emotional experiences

Recent theoretical and empirical work has highlighted the role of domain-general, large-scale brain networks in generating emotional experiences. These networks are hypothesized to process aspects of emotional experiences that are not unique to a specific emotional category (e.g., “sadness,” “happiness”), but rather that generalize across categories. In this article, we examined the dynamic interactions (i.e., changing cohesiveness) between specific domain-general networks across time while participants experienced various instances of sadness, fear, and anger. We used a novel method for probing the network connectivity dynamics between two salience networks and three amygdala-based networks. We hypothesized, and found, that the functional connectivity between these networks covaried with the intensity of different emotional experiences. Stronger connectivity between the dorsal salience network and the medial amygdala network was associated with more intense ratings of emotional experience across six different instances of the three emotion categories examined. Also, stronger connectivity between the dorsal salience network and the ventrolateral amygdala network was associated with more intense ratings of emotional experience across five out of the six different instances. Our findings demonstrate that a variety of emotional experiences are associated with dynamic interactions of domain-general neural systems.     

Flexibility and variability: Essential to human cognition and the study of human cognition

Traditional theories of cognition concentrate on the problem of stability, how it is that people perform the same cognitive act over and over despite different task pressures and varying circumstances. We suggest a different approach that focuses on the flexible and the inventive. From a dynamic systems perspective, intelligence is the adaptive flexibility that integrates the stability of past experience with the idiosyncrasies of the moment. In this paper we demonstrate the value of this perspective in the context of children's novel noun generalizations. We describe D-ALA, a dynamic systems model that embodies the principles of the account and use this model to explain the findings of three different experiments that show how young children flexibly and smartly adapt to novel circumstances in the task of learning new words.