Heterogeneity of strategy use in the Iowa gambling task: A comparison of win-stay/lose-shift and reinforcement learning models

The Iowa gambling task (IGT) has been used in numerous studies, often to examine decision-making performance in different clinical populations. Reinforcement learning (RL) models such as the expectancy valence (EV) model have often been used to characterize choice behavior in this work, and accordingly, parameter differences from these models have been used to examine differences in decision-making processes between different populations. These RL models assume a strategy whereby participants incrementally update the expected rewards for each option and probabilistically select options with higher expected rewards. Here we show that a formal model that assumes a win-stay/lose-shift (WSLS) strategy—which is sensitive only to the outcome of the previous choice—provides the best fit to IGT data from about half of our sample of healthy young adults, and that a prospect valence learning (PVL) model that utilizes a decay reinforcement learning rule provides the best fit to the other half of the data. Further analyses suggested that the better fits of the WSLS model to many participants’ data were not due to an enhanced ability of the WSLS model to mimic the RL strategy assumed by the PVL and EV models. These results suggest that WSLS is a common strategy in the IGT and that both heuristic-based and RL-based models should be used to inform decision-making behavior in the IGT and similar choice tasks.     

Similar Processes Despite Divergent Behavior in Two Commonly Used Measures of Risky Decision Making

Performance on complex decision-making tasks may depend on a multitude of processes. Two such tasks, the Iowa Gambling Task (IGT) and Balloon Analog Risk Task (BART), are of particular interest because they are associated with real world risky behavior, including illegal drug use. We used cognitive models to disentangle underlying processes in both tasks. Whereas behavioral measures from the IGT and BART were uncorrelated, cognitive models revealed two reliable cross-task associations. Results suggest that the tasks similarly measure loss aversion and decision-consistency processes, but not necessarily the same learning process. Additionally, substance-using individuals (and especially stimulant users) performed worse on the IGT than healthy controls did, and this pattern could be explained by reduced decision consistency.     

A mixed-effects expectancy-valence model for the Iowa gambling task

The Iowa gambling task (IGT; Bechara, Damasio, Damasio, & Anderson, 1994) was developed to simulate real-life decision making under uncertainty. The task has been widely used to examine possible neurocognitive deficits in normal and clinical populations. Busemeyer and Stout (2002) proposed the expectancy-valence (EV) model to explicitly account for individual participants’ repeated choices in the IGT. Parameters of the EV model presumably measure different psychological processes that underlie performance on the task, and their values may be used to differentiate individuals across different populations. In the present article, the EV model is extended to include both fixed effects and subject-specific random effects. The mixed-effects EV model fits the nested structure of observations in the IGT naturally and provides a unified procedure for parameter estimation and comparisons among groups of populations. We illustrate the utility of the mixed-effects approach with an analysis of gender differences using a real data set. A simulation study was conducted to verify the advantages of this approach.     

多项式加工树模型在社会心理学中的应用

多项式加工树（multinomial processing tree, MPT）从理论模型出发,使用多项式模型来拟合行为数据并估计理论模型中各个加工过程发生的可能性。该模型能够有效分离和量化不同心理过程,被广泛应用于社会认知研究之中,如态度、刻板印象等。本文首先介绍该模型的基本原理及其实现,并以道德判断为例说明其在社会心理学中的最新应用。最后,总结其对社会心理学研究的意义,即可以作为一种方法提高研究的效度和精度,具有较高的实用价值,并指出其潜在不足。     

On the dynamics of implicit emotion regulation: Counter-regulation after remembering events of high but not of low emotional intensity

Valence biases in attention allocation were assessed after remembering positive or negative personal events that were either still emotionally hot or to which the person had already adapted psychologically. Differences regarding the current state of psychological adjustment were manipulated experimentally by instructing participants to recall distant vs. recent events (Experiment 1) or affectively hot events vs. events to which the person had accommodated already (Experiment 2). Valence biases in affective processing were measured with a valence search task. Processes of emotional counter-regulation (i.e., attention allocation to stimuli of opposite valence to the emotional event) were elicited by remembering affectively hot events, whereas congruency effects (i.e., attention allocation to stimuli of the same valence as the emotional event) were obtained for events for which a final appraisal had already been established. The results of our study help to resolve conflicting findings from the literature regarding congruent vs. incongruent effects of remembering emotional events on affective processing. We discuss implications of our findings for the conception of emotions and for the dynamics of emotion regulation processes.     

Periventricular leukomalacia (PVL): an identical twin case study illustration of white matter dysfunction and nonverbal learning disability (NLD).

This paper discusses the implications of Periventricular Leukomalacia (PVL) lesions for the development of Nonverbal Learning Disabilities (NLD) as illustrated through an identical twin case study. PVL lesions were identified in an 8-year-old child, but were not detected in his identical twin brother who served as a matched comparison. While the nonclinical twin displayed a largely unremarkable neuropsychological profile, the clinical twin evidenced a distinct pattern of social, intellectual, academic, and neuropsychological test results often identified among children with PVL and those with the NLD syndrome. The clinical and theoretical implications for this case study are discussed.     

Periventricular Leukomalacia (PVL): An Identical Twin Case Study Illustration of White Matter Dysfunction and Nonverbal Learning Disability (NLD)*

This paper discusses the implications of Periventricular Leukomalacia (PVL) lesions for the development of Nonverbal Learning Disabilities (NLD) as illustrated through an identical twin case study. PVL lesions were identified in an 8-year-old child, but were not detected in his identical twin brother who served as a matched comparison. While the nonclinical twin displayed a largely unremarkable neuropsychological profile, the clinical twin evidenced a distinct pattern of social, intellectual, academic, and neuropsychological test results often identified among children with PVL and those with the NLD syndrome. The clinical and theoretical implications for this case study are discussed.     

Bayesian techniques for analyzing group differences in the Iowa Gambling Task: A case study of intuitive and deliberate decision-makers

The Iowa Gambling Task (IGT) is one of the most popular experimental paradigms for comparing complex decision-making across groups. Most commonly, IGT behavior is analyzed using frequentist tests to compare performance across groups, and to compare inferred parameters of cognitive models developed for the IGT. Here, we present a Bayesian alternative based on Bayesian repeated-measures ANOVA for comparing performance, and a suite of three complementary model-based methods for assessing the cognitive processes underlying IGT performance. The three model-based methods involve Bayesian hierarchical parameter estimation, Bayes factor model comparison, and Bayesian latent-mixture modeling. We illustrate these Bayesian methods by applying them to test the extent to which differences in intuitive versus deliberate decision style are associated with differences in IGT performance. The results show that intuitive and deliberate decision-makers behave similarly on the IGT, and the modeling analyses consistently suggest that both groups of decision-makers rely on similar cognitive processes. Our results challenge the notion that individual differences in intuitive and deliberate decision styles have a broad impact on decision-making. They also highlight the advantages of Bayesian methods, especially their ability to quantify evidence in favor of the null hypothesis, and that they allow model-based analyses to incorporate hierarchical and latent-mixture structures.     

Validity evidence of the Health-Related Quality of Life for Drug Abusers Test based on the Biaxial Model of Addiction

The aim of this work is to show evidence of the validity of the Health-Related Quality of Life for Drug Abusers Test (HRQoLDA Test). This test was developed to measure specific HRQoL for drugs abusers, within the theoretical addiction framework of the biaxial model. The sample comprised 138 patients diagnosed with opiate drug dependence. In this study, the following constructs and variables of the biaxial model were measured: severity of dependence, physical health status, psychological adjustment and substance consumption. Results indicate that the HRQoLDA Test scores are related to dependency and consumption-related problems. Multiple regression analysis reveals that HRQoL can be predicted from drug dependence, physical health status and psychological adjustment. These results contribute empirical evidence of the theoretical relationships established between HRQoL and the biaxial model, and they support the interpretation of the HRQoLDA Test to measure HRQoL in drug abusers, thus providing a test to measure this specific construct in this population.     

An adaptive network model covering metacognition to control adaptation for multiple mental models

Learning processes can be described by adaptive mental (or neural) network models. If metacognition is used to regulate learning, the adaptation of the mental network becomes itself adaptive as well: second-order adaptation. In this paper, a second-order adaptive mental network model is introduced for metacognitive regulation of learning processes. The focus is on the role of multiple internal mental models, in particular, the case of visualisation to support learning of numerical or symbolic skills. The second-order adaptive network model is illustrated by a case scenario for the role of visualisation to support learning multiplication at the primary school.     

A general latent assignment approach for modeling psychological contaminants

Data from psychological experiments are rife with ‘contaminants’, which can generally be defined as data generated by psychological processes different from those intended as the object of study. Contaminant data can interfere with the testing of substantive psychological models and their parameters, so it is important to have methods for their identification and removal. After noting that current practices in cognitive modeling for dealing with contaminants are not completely satisfactory, we argue for a general latent mixture approach to the problem. We demonstrate the tractability and effectiveness of the approach concretely, through a series of four applications. These applications involve a simple choice problem, a diffusion model of a response time and accuracy in decision-making, a hierarchical signal detection model of recognition memory, and a reinforcement learning model of decision-making on bandit problems. We conclude that developing models of contaminant processes requires the same sort of creative effort that is needed to model substantive psychological processes, but that it is a necessary endeavour that can be coherently and usefully pursued within the latent mixture modeling approach.     

Connectionism and Self: James,Mead, and the Stream of Enculturated Consciousness

William James conceptualized I, the self as subject as a stream of consciousness. When this conception is augmented with George Herbert Mead's view of self as a radically socialized and enculturated process, a result is the James-Mead model of dynamic self as a stream of enculturated consciousness. In this paper, we argue that connectionism is best suited to theorize this challenging notion. Based on the view that a connectionist model should describe psychological processes that carry out psychological functions grounded in a biological living system, we propose the I-SELF (Imitative and Sequence Learning Functional) model, which is designed to capture the temporal dynamics of a stream of consciousness whose content can be acquired via symbolically mediated social interaction with others in society. We identify four implications of the James-Mead model of dynamic self (embodiment, narrative and self, individual and collective self, and culture and self), and report computer simulations to show the utility of I-SELF in conceptualizing the dynamic self-processes in the contemporary social psychological literature. Theoretical and metatheoretical implications of the connectionist approach to self are discussed.     

Affective guidance in the Iowa gambling task

It has been suggested that affective states can guide higher level cognitive processes and that such affective guidance may be particularly important when real-life decisions are made under uncertainty. We ask whether affect guides decisions in a laboratory task that models real-life decisions under uncertainty. In the Iowa gambling task (IGT), participants search for monetary payoffs in an uncertain environment. Recent evidence against an affective guidance interpretation of the IGT indicates a need to set a standard for what counts as evidence of affective guidance. We present a novel analysis of IGT, and our results show that participants’ galvanic skin response (GSR) reflects an affective process that precedes and guides cognition. Specifically, prior to participants’ knowledge of the optimal strategy, their GSRs are significantly higher when they are about to select from a bad deck, relative to a good deck, and this difference in GSR is correlated with a behavioral preference for the good deck.     

Separating sensitivity from response bias: implications of comparisons of yes-no and forced-choice tests for models and measures of recognition memory

A fundamental challenge to psychological research is the measurement of cognitive processes uncontaminated by response strategies resulting from different testing procedures. Test-free estimates of ability are vital when comparing the performance of different groups or different conditions. The current study applied several sets of measurement models to both forced-choice and yes-no recognition memory tests and concluded that the traditional signal-detection model resulted in distorted estimates of accuracy. Two-factor models were necessary to separate memory sensitivity from response bias. These models indicated that (a) memory accuracy did not differ across the tests and (b) the tests relied on the same underlying memory processes. The results illustrate the pitfalls of using a single-component model to measure accuracy in tasks that reflect 2 or more underlying processes.     

IGT-Open: An open-source,computerized version of the Iowa Gambling Task

The Iowa Gambling Task (IGT) is commonly used to understand the processes involved in decision-making. Though the task was originally run without a computer, using a computerized version of the task has become typical. These computerized versions of the IGT are useful, because they can make the task more standardized across studies and allow for the task to be used in environments where a physical version of the task may be difficult or impossible to use (e.g., while collecting brain imaging data). Though these computerized versions of the IGT have been useful for experimentation, having multiple software implementations of the task could present reliability issues. We present an open-source software version of the Iowa Gambling Task (called IGT-Open) that allows for millisecond visual presentation accuracy and is freely available to be used and modified. This software has been used to collect data from human subjects and also has been used to run model-based simulations with computational process models developed to run in the ACT-R architecture.     

Effect of Islamic psycho-spiritual therapy in managing craving,withdrawal symptoms,and mental health problems among cannabis users

ABSTRACT

The present study is an examination of Islamic psycho-spiritual therapy in managing craving, withdrawal symptoms, and mental health problems among cannabis users. Homogeneous purposive sampling was used in the selection of the sample. The therapy and administration of three scales (Marijuana Craving Scale Short Form; Cannabis Withdrawal Scale; Mental Health Inventory) were undertaken among 40 Muslim male cannabis users whose age ranged between 14 and 37 years on pre- and post-test analysis. The results highlighted the significant differences in the respective dimensions of the Craving and Withdrawal Scales and the Mental Health Inventory such as compulsivity, emotionality, expectancy and purposefulness, withdrawal intensity and negative impact of withdrawal symptoms, anxiety, depression, loss of behavioural/emotional control, emotional ties, life satisfaction, psychological distress, psychological well-being, and mental health index.     

初中生风险决策表现的认知建模分析:自尊及性别的影响

选取山东省某初中308名学生,采用爱荷华博弈任务,使用“效用-固着”模型对决策包含的动机、认知、反应心理过程进行认知建模分析,探究自尊水平和性别对初中生风险决策表现的影响。结果发现,初中生的风险决策表现不佳,对损失不敏感。在控制年级的影响后,分层回归分析表明:(1)自尊水平和性别对决策的动机过程的影响存在交互作用,男生无论自尊高低对收益都较为关注,女生中高自尊者更加关注收益。(2)决策成绩不存在显著的性别差异,但男生更多选择有着较高损失值的不利选项,而女生更多选择损失频率较低的有利选项。(3)自尊的影响主要体现在动机和认知过程,高自尊水平者在动机过程中更多表现出对损失的规避,在认知过程中更多地考虑维持之前的决策选择。     

Positive and negative recency effects in retirement savings decisions

Retirement savings decisions can be influenced by the fund composition of the retirement savings plan. In 2 experiments, strong composition effects were observed, with a larger percentage of resources being invested in stock funds when more stock than bond funds were offered. Although participants changed their allocations repeatedly, the opportunity to learn did not alter the composition effects. Learning processes led to positive and negative recency effects as well, providing evidence that allocations were strongly influenced by the recent performance of the different allocation options. Two learning models were tested to explain these learning processes. The first, a local adaptation learning model, assumes that people change their behavior on the basis of recent experience, whereas the second, a reinforcement learning model, assumes that decisions are made on the basis of the totality of accumulated experience. The local adaptation model was more accurate in predicting allocation decisions, in explaining positive and negative recency effects, and in showing why composition effects are not overcome by learning.     

不同类型罪犯在爱荷华赌博任务中的决策功能缺陷

采用爱荷华赌博任务(Behcara等人1994年版本)测量了8类共222名在监男性罪犯以及32名普通男性的决策功能, 并运用前景效用学习模型分析了不同类型罪犯在情感决策中的心理功能缺陷。罪犯组选择牌1的比例与控制组没有显著差异, 选择牌2的比例显著高于控制组, 选择牌3和牌4的比例显著低于控制组。暴力犯和涉黑犯对收益和损失都不敏感, 对过去的预期效用折扣很快; 吸毒犯(已戒除)、涉毒犯、盗窃犯和抢劫犯对奖赏加工正常, 对惩罚不敏感; 经济犯选择一致性最低; 性罪犯选择一致性最高。结果表明不同类型罪犯在爱荷华赌博任务中都具有决策功能缺陷, 但他们的决策功能缺陷由不同的心理功能缺陷所致。