On the dynamics and adaptivity of mental processes: Relating adaptive dynamical systems and self-modeling network models by mathematical analysis

In this paper, it is addressed by mathematical analysis how network-oriented modeling relates to the dynamical systems perspective on mental processes. It has been mathematically proven that any dynamical system can be modeled as a temporal-causal network model and that any adaptive dynamical system (of any order) can be modeled by a self-modeling network (of the same order).     

Global and Local Feature Distinctiveness Effects in Language Acquisition

Various aspects of semantic features drive early vocabulary development, but less is known about how the global and local structure of the overall semantic feature space influences language acquisition. A feature network of English words was constructed from a large database of adult feature production norms such that edges in the network represented feature distances between words (i.e., Manhattan distances of probability distributions of features elicited for each pair of words). A word's global feature distinctiveness is measured with respect to all other words in the network and a word's local feature distinctiveness is measured relative to words in sub-networks derived from clustering analyses. This paper investigates how feature distinctiveness of individual words at local and global scales of the network influences language acquisition. Regression analyses indicate that global feature distinctiveness was associated with earlier age of acquisition ratings, and was a stronger predictor of age of acquisition than local feature distinctiveness. These results suggest that the global structure of the semantic feature network could play an important role in language acquisition, whereby globally distinctive concepts help to structure vocabulary development over the lifespan.     

Moods in transition: Theorizing the affective-dynamic constitution of situatedness

In this paper we draw from Gilbert Simondon's work in order to develop a conceptual perspective on moods as transitory, dynamic, and holistic affective processes, manifesting the persistence of pre-individual tensions throughout processes of individuation. In defending our proposal we focus on two features of mood experiences that have traditionally proven conceptually challenging: (1) the intentionality of moods and (2) their phenomenal status. By revisiting Colombetti's theory of moods as affectively scaffolded and Slaby's theory of moods as disclosive postures we show how a Simondonian approach might enrich current enactive as well as phenomenological theorizing about moods.     

Computational modeling of organisational learning by self-modeling networks

Within organisational learning literature, mental models are considered a vehicle for both individual learning and organizational learning. By learning individual mental models (and making them explicit), a basis for formation of shared mental models for the level of the organization is created, which after its formation can then be adopted by individuals. This provides mechanisms for organizational learning. These mechanisms have been used as a basis for an adaptive computational network model. The model is illustrated by a not too complex but realistic case study.     

The Dual Process Model of Ideology and Prejudice: A Longitudinal Test During a Global Recession

ABSTRACT

This study tested the pathways between personality, social worldviews, and ideology, predicted by the Dual Process Model (DPM) of ideology and prejudice. These paths were tested using a full cross-lagged panel design administered to a New Zealand community sample in early 2008 (before the effects of the global financial crisis reached New Zealand) and again in 2009 (when the crisis was near its peak; n?=?247). As hypothesized, low openness to experience predicted residualized change in dangerous worldview, which in turn predicted right-wing authoritarianism (RWA). Low agreeableness predicted competitive worldview, which in turn predicted social dominance orientation (SDO). RWA and SDO also exerted unexpected reciprocal effects on worldviews. This study provides the most comprehensive longitudinal test of the DPM to date, and was conducted during a period of systemic instability when the causal effects predicted by the DPM should be, and were, readily apparent.     

Integration of Analytic Hierarchy Process with Regression Analysis to Identify Attractive Locations for Market Expansion

Selection of new geographies in which to expand is a key decision for businesses aspiring to go beyond the opportunities in the existing markets. The conventional approaches of market selection can only provide a set of systematic steps for problem solving without considering the relationships between the decision factors. Decision models based on statistical techniques are able to examine the relationship between decision factors but are unable to effectively assist decision makers in identifying the most promising market, particularly in terms of prioritizing across decision factors. Analytic Hierarchy Process (AHP) is a commonly used approach for choosing alternatives by prioritizing across multiple decision factors. The typical AHP modelling requires knowledge of criteria and/or alternatives along with their relative weights, generally elicited from field experts. Quite often, firms encounter situations where decision makers are aware of only the overall objective and a set of earmarked geographies for setting up market locations while being relatively unaware of decision criteria and relative weights. This precludes using AHP to identify promising market locations. This paper conceptualizes a market selection decision model that integrates AHP with statistical modelling techniques to identify the attractive market locations for the purpose of expansion. The model first uses principal component analysis and multiple regression to determine significant decision criteria and their weights. Thereafter, it applies AHP to prioritize the market locations across the decision criteria. This integrative approach is illustrated for identifying the attractive locations in rural markets for a steel firm in India. The major advantage of this approach is that unlike the existing models, it works in situations when firms have not enough knowledge about factors for evaluating alternative market locations. Another key advantage of the proposed model is that of economizing resources for data collection on variables representing decision factors. Copyright © 2012 John Wiley & Sons, Ltd.     

A History Which Began to Be Told: A Clinical Case

This article aims to reflect on the possible contributions of psychoanalysis in relation to severely disturbed patients by means of the presentation of a clinical case. Beginning with the family history, the evolutionary process of the symptoms and identification movements of the patient are analysed. The observation of the transference dynamics is emphasised, showing how the desire of the analyst and his privileged listening will allow the patient some level of possible subjective structure.     

Attention control: Relationships between self-report and behavioural measures,and symptoms of anxiety and depression

Previous research has demonstrated differences in processing between fear-relevant stimuli, such as snakes and spiders, and non-fear-relevant stimuli. The current research examined whether non-fear-relevant animal stimuli, such as dogs, birds and fish, were processed like fear-relevant stimuli following aversive learning. Pictures of a priori fear-relevant animals, snakes and spiders, were evaluated as negative in affective priming and ratings and were preferentially attended to in a visual search task. Pictures of dogs, birds and fish that had been trained as CS+ in an aversive conditioning design were evaluated more negatively and facilitated dot probe detection relative to CS? pictures. The current studies demonstrated that stimuli viewed as positive prior to aversive learning were negative and were preferentially attended to after a brief learning episode. We propose that aversive learning may provide a mechanism for the acquisition of stimulus fear relevance.     

From a fixation on sports to an exploration of mechanism: The past,present, and future of hot hand research

We review the literature on the hot hand fallacy by highlighting the positive and negative aspects of hot hand research over the past 20 years, and suggesting new avenues of research. Many researchers have focused on criticising Gilovich et al.'s claim that the hot hand fallacy exists in basketball and other sports, instead of exploring the general implications of the hot hand fallacy for human cognition and probabilistic reasoning. Noting that researchers have shown that people perceive hot streaks in a gambling domain in which systematic streaks cannot possibly exist, we suggest that researchers have paid too much attention to investigating the independence of outcomes in various sporting domains. Instead, we advocate a domain-general mechanistic approach to understanding the hot hand fallacy, and conclude by suggesting approaches that might refocus the literature on the important general implications of the hot hand fallacy for human probabilistic reasoning.