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Psychology of Gambling: New Research
9781621005032
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Description
Generally considered a social and/or recreational activity, in some cases gambling can become an addictive behavior. Pathological gambling is classified by the Diagnostic and Statistical Manual of Mental Disorders (DSM) as an impulse control disorder, characterized by failure to resist the impulse to gamble despite severe and devastating personal, family, or vocational consequences. The lifetime prevalence of pathological gambling in the adult population of North America has been estimated to be over 1%. Pathological gambling can also be associated with significantly specific behavioral problems and neuropsychiatric conditions, mainly affecting dopaminergic reward pathways. This book provides a 360-degree overview on the current psychological models for gambling behaviors, informed by both neurobiological and clinical observations.
Product Details
73884
9781621005032
9781621005032
Data sheet
- Publication date
- 2013
- Issue number
- 1
- Cover
- hard cover
- Pages count
- 210
- Dimensions (mm)
- 178.00 x 254.00
- Weight (g)
- 552
- Preface;Chapter 1:: Evidence for a biological component of decision-making in gambling:: a critical review;Chapter 2:: The somatic marker hypothesis in pathological gambling;Chapter 3:: Prevention is better than cure. Vulnerability markers for problem gambling;Chapter 4:: Pathological gambling in frontotemporal dementia;Chapter 5:: Decisional processes underpinning online gambling;Chapter 6:: Home-cage testing of choice behaviour:: Proneness to risk in a gambling task;Chapter 7:: Prominent deck B phenomenon:: Are decision-makers sensitive to long-term outcome in the Iowa Gambling Task?;Chapter 8:: The validity of an integrated cognitive behavioural model of gambling behaviour with a Chinese sample;Chapter 9:: The role of temperament and near-miss in playing a simulated slot machine:: The case of betting behavior;Chapter 10:: Behavioral treatment for gambling;Chapter 11:: Estimating the effects of casinos and of lotteries on crime:: A panel data set approach;Chapter 12:: Noisy verification algorithms protected against gambling;Index
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