The feigenbaum scenario in a unified science of life and mind

In exploring the possibilities for creating a model of the creative cosmos, it is important to seek mathematical models that can express the common relationships unifying the sciences of matter, life and mind. Current candidates for such all embracing mathematical models come from the burgeoning fields of non‐linear dynamics that are described under varying labels as Chaos Theory, Self‐Organization Theory and Adaptive Complexity Theory. In this paper we will limit ourselves to only one mathematical model called, “The Feigenbaum Scenario.” A major virtue of The Feigenbaum Scenario is that it is relatively easy to understand by non‐mathematicians and it has led to new depths of profound understanding in a wide variety of the physical and biological sciences. Everything from purely mechanical systems, fluid dynamics and the weather to the patterns of biological growth in nature and the dynamics of heart, hormone and brain rhythms have been found to exhibit aspects of the Feigenbaum scenario. We explore the possibility that the Feigenbaum scenario can be extended to experiences of mind, sensation, perception and human behavior as well. We conclude that a major function of consciousness may be to transform the non‐linear, irrational, unconscious and difficult to predict dynamics of unconscious nature into the more linear, rational and predictable psycho‐dynamics that make human experience and social life possible.     

On the relative importance of linear model and human judge(s) in combined forecasting

When and to what extent should forecasts rely on linear model or human judgment? The judgmental forecasting literature suggests that aggregating model and judge using a simple 50:50 split tends to outperform the two inputs alone. However, current research disregards the important role that the structure of the task, judges’ level of expertise, and the number of individuals providing a forecasting judgment may play. Ninety-two music industry professionals and 88 postgraduate students were recruited in a field experiment to predict chart entry positions of pop music singles in the UK and Germany. The results of a lens model analysis show how task structure and domain-specific expertise moderate the relative importance of model and judge. The study also delineates an upper boundary to which aggregating multiple judgments in model-expert combinations adds predictive accuracy. It is suggested that ignoring the characteristics of task and/or judge may lead to suboptimal forecasting performance.     

Modeling Nonlinear Change via Latent Change and Latent Acceleration Frameworks: Examining Velocity and Acceleration of Growth Trajectories

A general equadion is presented, covering all arbitrary values for the true population splits, for obtaining the true population phi, given observed cell frequencies for a selected sample, and true population splits. A nongeneral solution is also offered, based on the use of the G Index. Demonstrations with hypothetical data are given.     

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This study examined the constellation of interaction structures – repetitive patterns of interactions between patient and therapist over the course of treatment – that emerged in the psychodynamic therapy (PDT) of a child diagnosed with borderline personality disorder and treated by two doctoral student therapists. Identification of these interaction structures can inform therapists of what might be expected from patients with particular symptom or behaviour patterns and how interactions change over time. This study also examined each session’s adherence to three session prototypes: PDT, cognitive-behavioural therapy (CBT) and reflective functioning (RF) process. The Child Psychotherapy Q-Set (CPQ) is a 100-item instrument that assesses the processes within a single psychotherapy session. Items reflect a wide range of therapist attitudes and behaviours, patient attitudes and behaviours and interactions between therapist and patient. Experts used the CPQ to define PDT, CBT and RF process session prototypes. The results suggested that four distinct interaction structures could be identified and that their constellations differed between the two therapists and also differed over time within each treatment. Therapists were more structured and accommodating early on in their treatments and more interpretive later. Prototypical PDT process was more prominent in the sessions than RF process, which in turn was more prominent than CBT process. Unique therapeutic processes are at work in every dyad, despite holding the patient and theoretical orientation constant. An effective treatment in one dyad might not work in another due to therapist-specific and dyad-specific effects.     

A meta-analytic review of the Dark Triad–intelligence connection

We conducted a meta-analytic review of the relations between general mental ability (GMA) and the Dark Triad (DT) personality traits—Machiavellianism, narcissism, and psychopathy—to determine if individuals who display socially exploitative social qualities tend to be more intelligent or less intelligent. Across 48 independent samples, GMA showed no consistent relation with any DT trait. These effects were not sufficient to support either the “evil genius” hypothesis (highly intelligent individuals tend to display socially exploitative personality traits) or the “compensatory” hypothesis (less intelligent individuals compensate for their cognitive disadvantages by adopting manipulative behavioral tendencies). However, these relations were moderated, to some extent, by the sex and age of the participants, type of sample studied, and the measure of GMA.     

Incidental emotions associated with uncertainty appraisals impair decisions in the Iowa Gambling Task

With the Appraisal Tendency Framework, it has been established that (un)certainty appraisals associated with incidental emotions trigger the kind of information processing to cope with situation. We tested the impact of (un)certainty-associated emotions on a sequential task, the Iowa Gambling Task. In this task, intuitive processing is necessary to lead participants to rely on emotional cues arising from previous decisions and to making advantageous decisions. We predicted that certainty-associated emotions would engage participants in intuitive processing, whereas uncertainty-associated emotions would engage them in deliberative processing and lead them to make disadvantageous decisions. As expected, we observed in two distinct experiments, that participants induced to feel uncertainty (fear, sadness) were found to decide less advantageously than participants induced to feel certainty (anger, happiness, disgust).     

Tracking the Time Course of Word‐Frequency Effects in Auditory Word Recognition With Event‐Related Potentials

Although the word‐frequency effect is one of the most established findings in spoken‐word recognition, the precise processing locus of this effect is still a topic of debate. In this study, we used event‐related potentials (ERPs) to track the time course of the word‐frequency effect. In addition, the neighborhood density effect, which is known to reflect mechanisms involved in word identification, was also examined. The ERP data showed a clear frequency effect as early as 350 ms from word onset on the P350, followed by a later effect at word offset on the late N400. A neighborhood density effect was also found at an early stage of spoken‐word processing on the PMN, and at word offset on the late N400. Overall, our ERP differences for word frequency suggest that frequency affects the core processes of word identification starting from the initial phase of lexical activation and including target word selection. They thus rule out any interpretation of the word frequency effect that is limited to a purely decisional locus after word identification has been completed.