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Nonlinear Dynamics, Psychology, and Life Sciences

David Kern, Waldemar Karwowski, Edgar Gutiérrez Franco, Atsuo Murata
Research into human performance on naval ships often emphasizes the significance of shaping factors, such as vigilance, fatigue and circadian rhythm. However, few report on the presence of complex nonlinear dynamics and fractal dimensionality. This study examines over 7000 routine topside security checks on a U.S. Navy Destroyer performed over a twelve-month period. Time series analysis (0-1 test, analysis of Lyapunov exponent, state space plots, and graphical analysis) reveal the presence of chaotic behavior, harmonics attractors, and fractal structures...
January 2018: Nonlinear Dynamics, Psychology, and Life Sciences
Christopher R Warren
Organizational theorists have long advocated the importance of attending to multiple stakeholders. However, limited empirical research has been devoted to the ways in which to identify balance, or imbalance, between stakeholder groups possibly due to methodological issues with modeling such complex nomological nets. The current study utilized the multiple stakeholder climate framework to test hypothesized relationships between perceptions of support and affectively-based criteria using polynomial regression and response surface methodology to test discreet regression lines representing predictions...
January 2018: Nonlinear Dynamics, Psychology, and Life Sciences
Rita Rueff Lopes, José Navarro, Ana Junca Silva
Service research tends to operationalize word of mouth (WOM) behavior as one of the many responses to service satisfaction. In this sense, little is known about its antecedents or moderators. The objective of this study was to investigate the role of customers' emotions during service experiences on WOM, applying nonlinear techniques and exploring the moderating role of customers' propensity for emotional contagion. Using the critical incidents technique, 122 customers recalled significant service experiences and the emotions they aroused, and reported if they shared said experiences with other individuals...
January 2018: Nonlinear Dynamics, Psychology, and Life Sciences
Claudia P Estévez-Mujica, Andrés Acero, William Jiménez-Leal, César Garcia-Diaz
Increasingly diversity researchers call for further studies of group micro-processes and dynamics to understand the paradoxical effects of diversity on group performance. In this study, based on analyses of in-group, networked, homophilous interactions, we aim to explain further the effects of diversity on group performance in a parallel problem-solving task, both experimentally and computationally. We developed a 'whodunit' problem-solving experiment with 116 participants assigned to different-sized groups...
January 2018: Nonlinear Dynamics, Psychology, and Life Sciences
Guido Alessandri, Enrico Perinelli, Evelina De Longis, Annalisa Theodorou
In recent years, research in organizational psychology has witnessed a shift in attention from a mostly variable-focused approach, to a mostly person-focused approach. Indeed, it has been widely recognized that the study of worker's heterogeneity is a meaningful and necessary task of researchers dealing with human behavior in organizational contexts. As a consequence, there has been growing interest in the application of statistical analyses able to uncover latent sub-groups of workers. The present contribution was conceived as a tutorial for the application of one of these statistical analyses, namely second-order growth mixture modeling, and to illustrate its inner links with concepts from non-linear dynamic models...
January 2018: Nonlinear Dynamics, Psychology, and Life Sciences
Roberto Burro, Daniela Raccanello, Margherita Pasini, Margherita Brondino
Conceptualizing affect as a complex nonlinear dynamic process, we used latent class extended mixed models (LCMM) to understand whether there were unobserved groupings in a dataset including longitudinal measures. Our aim was to identify affect profiles over time in people vicariously exposed to terrorism, studying their relations with personality traits. The participants were 193 university students who completed online measures of affect during the seven days following two terrorist attacks (Paris, November 13, 2015; Brussels, March 22, 2016); Big Five personality traits; and antecedents of affect...
January 2018: Nonlinear Dynamics, Psychology, and Life Sciences
Andrea Scalco, Andrea Ceschi, Riccardo Sartori
It is likely that computer simulations will assume a greater role in the next future to investigate and understand reality (Rand & Rust, 2011). Particularly, agent-based models (ABMs) represent a method of investigation of social phenomena that blend the knowledge of social sciences with the advantages of virtual simulations. Within this context, the development of algorithms able to recreate the reasoning engine of autonomous virtual agents represents one of the most fragile aspects and it is indeed crucial to establish such models on well-supported psychological theoretical frameworks...
January 2018: Nonlinear Dynamics, Psychology, and Life Sciences
Andrea Ceschi, Riccardo Sartori, Stephen J Guastello
No abstract text is available yet for this article.
January 2018: Nonlinear Dynamics, Psychology, and Life Sciences
Seyed Alireza Derakhshanrad, Emily Piven, Bahareh Zeynalzadeh Ghoochani
Walter J. Freeman pioneered the neurodynamic model of brain activity when he described the brain dynamics for cognitive information transfer as the process of circular causality at intention, meaning, and perception (IMP) levels. This view contributed substantially to establishment of the Intention, Meaning, and Perception Model of Neuro-occupation in occupational therapy. As described by the model, IMP levels are three components of the brain dynamics system, with nonlinear connections that enable cognitive function to be processed in a circular causality fashion, known as Cognitive Process of Circular Causality (CPCC)...
October 2017: Nonlinear Dynamics, Psychology, and Life Sciences
Janice Ryan
This exploratory, evidence-based practice research study focuses on presenting a plausible mesoscopic brain dynamics hypothesis for the benefits of treating clients with psychosocial and cognitive challenges using a mindful therapeutic approach and multi-sensory environments. After an extensive neuroscientific review of the therapeutic benefits of mindfulness, a multi-sensory environment is presented as a window of therapeutic opportunity to more quickly and efficiently facilitate the neurobiological experience of becoming more mindful or conscious of self and environment...
October 2017: Nonlinear Dynamics, Psychology, and Life Sciences
Julius Kuhl, Olga Mitina, Sander L Koole
According to the extended trust hypothesis, the ability to cope with negative experiences is grounded in intuitive positive feelings about one's existence (Kuhl, Quirin, & Koole, 2015). In the present study, the authors empirically tested this hypothesis by examining the nonlinear dynamics in a series of day-to-day autoregressive functions of affective states taken from a 30-day daily mood diary study among 40 participants. A parameter (?) related to the asymptotic level of day-to-day changes in implicit positive mood predicted action orientation, a personality variable that relates to coping with negative affect, and psychological symptoms...
October 2017: Nonlinear Dynamics, Psychology, and Life Sciences
Alexander A Berezin, Vladimir V Gridin
We outline possible effects of isotopic randomness and isotopic self-organization (isotopicity) for biology, genetics, neurodynamics and conscious-ness. Prime ideas are (a) isotopic genetic code based on isotopic permutations in genomes, and (b) catalytic effects of decays of radioactive isotopes in physiology and psychology. We discuss the reasons why these ideas are presently severely under-appreciated by the biomedical research community. We propose some steps to foster interest in isotopic effects in biology...
October 2017: Nonlinear Dynamics, Psychology, and Life Sciences
Allan Combs, Stanley Krippner
The contributions and life of Walter Freeman III are celebrated through an understanding of the neurodynamics of the dreaming brain. Beginning with a brief review of the universal dynamics of self-organizing systems, this paper turns to an exploration of dreaming through the application of concepts from chaos theory to brain activity during REM-state dreaming. Recent studies of the electrophysiology of the brain during REM state dreaming are reviewed, such as the active inhibition of sensory stimulation and, especially in REM sleep, alterations in the brain's dominant neuromodulatory systems, bombardment of the visual cortex with bursts of PGO activity, increased limbic system activity, and a reduction of activity in the brain's prefrontal regions...
October 2017: Nonlinear Dynamics, Psychology, and Life Sciences
Irina Trofimova
The Functional Constructivism (FC) paradigm is an alternative to behaviorism and considers behavior as being generated every time anew, based on an individual's capacities, environmental resources and demands. Walter Freeman's work provided us with evidence supporting the FC principles. In this paper we make parallels between gradual construction processes leading to the formation of individual behavior and habits, and evolutionary processes leading to the establishment of biological systems. Referencing evolutionary theory, several formal descriptors of such processes are proposed...
October 2017: Nonlinear Dynamics, Psychology, and Life Sciences
William H Sulis
Walter Freeman III pioneered the application of nonlinear dynamical systems theories and methodologies in his work on mesoscopic brain dynamics.Sadly, mainstream psychology and psychiatry still cling to linear correlation based data analysis techniques, which threaten to subvert the process of experimentation and theory building. In order to progress, it is necessary to develop tools capable of managing the stochastic complexity of complex biopsychosocial systems, which includes multilevel feedback relationships, nonlinear interactions, chaotic dynamics and adaptability...
October 2017: Nonlinear Dynamics, Psychology, and Life Sciences
Yuri I Alexandrov, Andrei K Krylov, Karina R Arutyunova
Walter Freeman's work emphasises the role of individual activity and intentionality as opposed to the traditional stimulus-reaction view and the machine metaphor. The results of our computer modeling studies suggest the nonlinear dynamics of experience emerging from perception-action cycles. We consider the perception-action cycle as a behavioral continuum of anticipated outcomes of actions. Neuroscientific research shows that each behavioral act is based on the activity of behaviorally specialized neurons distributed across the brain...
October 2017: Nonlinear Dynamics, Psychology, and Life Sciences
William H Sulis, Irina Trofimova
No abstract text is available yet for this article.
October 2017: Nonlinear Dynamics, Psychology, and Life Sciences
Orlando Gomes
This article undertakes a journey across the literature on behavioral macroeconomics, with attention concentrated on the nonlinearities that the behavioral approach typically suggests or implies. The emphasis is placed on thinking the macro economy as a living organism, composed of many interacting parts, each one having a will of its own, which is in sharp contrast with the mechanism of the orthodox view (well represented by the neoclassical or new Keynesian dynamic stochastic general equilibrium - DSGE - model)...
July 2017: Nonlinear Dynamics, Psychology, and Life Sciences
Travis J Wiltshire, Jonathan E Butner, Zachary Pirtle
In complex work domains and organizations, understanding schedule-ing dynamics can ensure objectives are reached and delays are mitigated. In the current paper, we examine the scheduling dynamics for NASA's Exploration Flight Test 1 (EFT-1) activities. For this examination, we specifically modeled simultaneous change in percent complete and estimated duration for a given project as they were included in monthly reports over time. In short, we utilized latent change score mixture modeling to extract the attractor dynamics within the scheduling data...
July 2017: Nonlinear Dynamics, Psychology, and Life Sciences
Stephen J Guastello, David E Marra, Julian Castro, Michael Equi, Anthony F Peressini
This study investigated the stationarity of electrodermal time series collected in situations where turn taking in human interactions are involved. In this context, the stationarity of the time series is the extent to which a simple model can be used to fit the entire time series. The experiment involved seven participants in an emergency response simulation against one opponent. They generated 48 time series across six simulations, which were split and re-spliced to separate the team's turns and the opponent's turns...
July 2017: Nonlinear Dynamics, Psychology, and Life Sciences
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