Search results for " Gambling"

Psychological assessment in pathological gamblers treated with escitalopram

2013

Pathological Gambling (PG) is classified as a "Disorder of Impulse Control", but due to similarities with drug addiction is frequently described as a drug-free addiction (Potenza et al., 2012). PG is conceptualized as a behavioural addiction because of its neurobiologic, neurophysiologic and psychological features. Current therapeutical approaches seem unsatisfactory as they do not achieve definitive positive outcomes. Considering the well known psycopathological comorbidities, PG represents both a social (impact on relatives money/life) and a sanitary cost, in terms of pharmacological and psychological support. The compulsive behaviour detectable in PG, is a disease with neurophysiopatholo…

Pathological gambling. Chinese community in Southern Italy

2011

Decision Making Impairment: A Shared Vulnerability in Obesity, Gambling Disorder and Substance Use Disorders?

2016

Introduction Addictions are associated with decision making impairments. The present study explores decision making in Substance use disorder (SUD), Gambling disorder (GD) and Obesity (OB) when assessed by Iowa Gambling Task (IGT) and compares them with healthy con- trols (HC). Methods For the aims of this study, 591 participants (194 HC, 178 GD, 113 OB, 106 SUD) were assessed according to DSM criteria, completed a sociodemographi c interview and con- ducted the IGT. Results SUD, GD and OB present impaired decision making when compared to the HC in the over- all task and task learning, however no differences are found for the overall performanc e inthe IGT among the clinical groups. Results…

Stochastic model predicts evolving preferences in the Iowa gambling task

2014

Learning under uncertainty is a common task that people face in their daily life. This process relies on the cognitive ability to adjust behavior to environmental demands. Although the biological underpinnings of those cognitive processes have been extensively studied, there has been little work in formal models seeking to capture the fundamental dynamic of learning under uncertainty. In the present work, we aimed to understand the basic cognitive mechanisms of outcome processing involved in decisions under uncertainty and to evaluate the relevance of previous experiences in enhancing learning processes within such uncertain context. We propose a formal model that emulates the behavior of p…

Expert appraisal of criteria for assessing gaming disorder: An international Delphi study

2021

Background and aims Following the recognition of ‘internet gaming disorder’ (IGD) as a condition requiring further study by the DSM‐5, ‘gaming disorder’ (GD) was officially included as a diagnostic entity by the World Health Organization (WHO) in the eleventh revision of the International Classification of Diseases (ICD‐11). However, the proposed diagnostic criteria for gaming disorder remain the subject of debate, and there has been no systematic attempt to integrate the views of different groups of experts. To achieve a more systematic agreement on this new disorder, this study employed the Delphi expert consensus method to obtain expert agreement on the diagnostic validity, clinical util…

Il gioco d'azzardo patologico

2008

Il gioco d’azzardo rappresenta la più antica e studiata tra le dipendenze senza droga. Presente sin dalle epoche più antiche, negli anni è stato oggetto di numerose ricerche e di svariati modelli interpretativi (di matrice neurobiologica, psicodinamica, ecc.) rivolti alla conoscenza del gioco – anche nella sua variante tecnologica – come dipendenza comportamentale (con le caratteristiche condizioni di craving, tolleranza, assuefazione, astinenza), all’eziopatogenesi, alla comprensione della personalità del giocatore, con attenzione al giocatore adolescente. Vengono proposti, in particolare, l’inquadramento diagnostico del DSM IV, alcuni spunti interpretativi di matrice psicodinamica, il mod…

Interpreting Connexive Principles in Coherence-Based Probability Logic

2021

We present probabilistic approaches to check the validity of selected connexive principles within the setting of coherence. Connexive logics emerged from the intuition that conditionals of the form If \(\mathord {\thicksim }A\), then A, should not hold, since the conditional’s antecedent \(\mathord {\thicksim }A\) contradicts its consequent A. Our approach covers this intuition by observing that for an event A the only coherent probability assessment on the conditional event \(A|\bar{A}\) is \(p(A|\bar{A})=0\). Moreover, connexive logics aim to capture the intuition that conditionals should express some “connection” between the antecedent and the consequent or, in terms of inferences, valid…

The Italian Mafia. An Industry of Leisure

2013

Conjunction, Disjunction and Iterated Conditioning of Conditional Events

2013

Starting from a recent paper by S. Kaufmann, we introduce a notion of conjunction of two conditional events and then we analyze it in the setting of coherence. We give a representation of the conjoined conditional and we show that this new object is a conditional random quantity, whose set of possible values normally contains the probabilities assessed for the two conditional events. We examine some cases of logical dependencies, where the conjunction is a conditional event; moreover, we give the lower and upper bounds on the conjunction. We also examine an apparent paradox concerning stochastic independence which can actually be explained in terms of uncorrelation. We briefly introduce the…

Probabilistic semantics for categorical syllogisms of Figure II

2018

A coherence-based probability semantics for categorical syllogisms of Figure I, which have transitive structures, has been proposed recently (Gilio, Pfeifer, & Sanfilippo [15]). We extend this work by studying Figure II under coherence. Camestres is an example of a Figure II syllogism: from Every P is M and No S is M infer No S is P. We interpret these sentences by suitable conditional probability assessments. Since the probabilistic inference of \(\bar{P}|S\) from the premise set \(\{M|P,\bar{M}|S\}\) is not informative, we add \(p(S|(S \vee P))>0\) as a probabilistic constraint (i.e., an “existential import assumption”) to obtain probabilistic informativeness. We show how to propagate the…