Herbert Rosenfeld in Italy, 1978–1985

Abstract

In this paper, the author attempts to shed some light on Herbert Rosenfeld’s thought and his way of working when was in Italy during 1978–1985. In particular, the author would like to show, in a sketchy way, the evolution of his thought, with specific regard for the new way in which he looked at clinical practice at that time. In the author’s opinion, the Rosenfeld that he and his group met and got to know in Italy was able to open new horizons in clinical practice, implicitly questioning some of his own or his circle’s previous viewpoints.     

Now or Later? Attentional Processing and Intertemporal Choice

The tendency to discount future prospects in lieu of smaller immediate outcomes is known as temporal discounting. The current work used eye‐tracking methodology to examine attentional processing to different elements of choice during an intertemporal decision task. Our findings reveal that those who tend to prefer the immediate option demonstrate attentional biases that were predictive of choice. When losses were at stake, selective attention biases also predicted unique variance in self‐report measures of risk taking, impulsivity, and self‐control beyond what was accounted for by a discounting parameter (k), a typical method for summarizing intertemporal choice data. Overall, our findings suggest that eye‐tracking measures of selective attention may allow for a better theoretical understanding of the mechanisms and processes involved in intertemporal choice. Copyright © 2015 John Wiley & Sons, Ltd.     

The relation between overcommitment and burnout: does it depend on employee job satisfaction?

Using the Conservation of Resources (COR) theory as a framework, we hypothesized a maladaptive role played by overcommitment in the escalation of burnout. We further specified our model by testing an interaction effect of job satisfaction. By using a longitudinal design, we proposed a moderated mediational model in which burnout at Time 1 (T1) increases overcommitment, which in turn leads to more burnout one month later. We further expected to find a moderating role of job satisfaction in the link between overcommitment and burnout at Time 2 (T2). A group of 86 white-collar workers in personnel services in Italy (longitudinal response rate = 77.48%) participated in our study. The findings supported our hypotheses even when controlling for gender and role stressors. In particular, by using bootstrapping procedures to test mediation, we found evidence that employees reporting burnout tend to develop a maladaptive coping style, i.e., overcommitment, which in turn increases burnout over time. This relation was particularly strong for dissatisfied employees. These results highlight the importance of overcommitment for burnout escalation, as well as of job satisfaction, since it may mitigate, at least in the short term, the effect of such dysfunctional strategies.     

A Computationally Grounded,Weighted Doxastic Logic

Modelling, reasoning and verifying complex situations involving a system of agents is crucial in all phases of the development of a number of safety-critical systems. In particular, it is of fundamental importance to have tools and techniques to reason about the doxastic and epistemic states of agents, to make sure that the agents behave as intended. In this paper we introduce a computationally grounded logic called COGWED and we present two types of semantics that support a range of practical situations. We provide model checking algorithms, complexity characterisations and a prototype implementation. We validate our proposal against a case study from the avionic domain: we assess and verify the situational awareness of pilots flying an aircraft with several automated components in off-nominal conditions.     

A quantum theoretical explanation for probability judgment errors

A quantum probability model is introduced and used to explain human probability judgment errors including the conjunction and disjunction fallacies, averaging effects, unpacking effects, and order effects on inference. On the one hand, quantum theory is similar to other categorization and memory models of cognition in that it relies on vector spaces defined by features and similarities between vectors to determine probability judgments. On the other hand, quantum probability theory is a generalization of Bayesian probability theory because it is based on a set of (von Neumann) axioms that relax some of the classic (Kolmogorov) axioms. The quantum model is compared and contrasted with other competing explanations for these judgment errors, including the anchoring and adjustment model for probability judgments. In the quantum model, a new fundamental concept in cognition is advanced--the compatibility versus incompatibility of questions and the effect this can have on the sequential order of judgments. We conclude that quantum information-processing principles provide a viable and promising new way to understand human judgment and reasoning.