The costs of benefits: help-refusals highlight key trade-offs of social life.

Social living provides opportunities for cooperative interdependence and concomitant opportunities to obtain help from others in times of need. Nevertheless, people frequently refuse help from others, even when it would be beneficial. Decisions to accept or reject aid offers may provide a window into the adaptive trade-offs recipients make between costs and benefits in different key domains of social life. Following from evolutionary and ecological perspectives, we consider how help-recipient decision making might reflect qualitatively different threats to goal attainment within six fundamental domains of social life (coalition formation, status, self-protection, mate acquisition, mate retention, and familial care). Accepting help from another person is likely to involve very different threats and opportunities depending on which domains are currently active. This approach can generate a variety of novel empirical predictions and suggest new implications for the delivery of aid.     

风险决策中的领域特异性

风险领域特异性指某特定领域内的风险决策和偏好可能会受到领域内特有的风险因素影响, 因而会导致领域特异性的行为。基于期望法则的风险决策理论认为, 风险倾向具有跨情境的稳定性。但近20年行为决策领域的证据表明, 风险倾向具有领域特异性, 其机制探索、测量工具和影响因素方面均取得了积极进展。从机制探索历程来看, 以往主流机制着重从风险−回报框架解构领域特异性的风险行为, 近年研究在丰富其机制检验证据的同时, 开始从进化、人格、动机等新的视角进行解读; 在测量工具层面, 领域特异性风险量表仍占主导地位, 并在多种文化、内容领域和群体间得到了进一步检验和扩展, 其他基于不同内容领域划分的风险领域特异性量表也具有较好的信效度; 在影响因素层面, 大量研究从遗传、环境、个体差异等角度探索了导致风险领域特异性的前因变量。未来研究方向应注重整合各风险内容领域, 在更加细化的风险领域检验现有理论, 并进一步探索个体层面的领域特异性规律。     

The career of metaphor

A central question in metaphor research is how metaphors establish mappings between concepts from different domains. The authors propose an evolutionary path based on structure-mapping theory. This hypothesis--the career of metaphor--postulates a shift in mode of mapping from comparison to categorization as metaphors are conventionalized. Moreover, as demonstrated by 3 experiments, this processing shift is reflected in the very language that people use to make figurative assertions. The career of metaphor hypothesis offers a unified theoretical framework that can resolve the debate between comparison and categorization models of metaphor. This account further suggests that whether metaphors are processed directly or indirectly, and whether they operate at the level of individual concepts or entire conceptual domains, will depend both on their degree of conventionality and on their linguistic form.     

Two Is Not Always Better Than One: A Critical Evaluation of Two-System Theories

ABSTRACT— Over the past two decades, there has been an upsurge in theoretical frameworks alluding to the existence of two different processing systems that supposedly operate according to different rules. This article critically examines the scientific advance offered by these theories (in particular advances in the domains of reasoning, decision making, and social cognition) and questions their theoretical coherence as well as the evidence for their existence. We scrutinize the conceptual underpinnings of two-system models and explicate the assumptions underlying these models to see whether they are reasonable. We also evaluate the empirical paradigms used to validate two-system models and ponder about their explanatory strength and predictive power. Given the popularity of these models, we discuss the appeal of two-system theories and suggest potential reasons for their prevalence. We comment on the potential costs associated with these models and allude to the desired nature of potential alternatives. We conclude that two-system models currently provide little scientific advance, and we encourage researchers to adopt more rigorous conceptual definitions and employ more stringent criteria for testing the empirical evidence in support for two-system theories.     

Modeling the Dynamics of Risky Choice

Individuals make decisions under uncertainty every day. Decisions are based on incomplete information concerning the potential outcome or the predicted likelihood with which events occur. In addition, individuals' choices often deviate from the rational or mathematically objective solution. Accordingly, the dynamics of human decision making are difficult to capture using conventional, linear mathematical models. Here, we present data from a 2-choice task with variable risk between sure loss and risky loss to illustrate how a simple nonlinear dynamical system can be employed to capture the dynamics of human decision making under uncertainty (i.e., multistability, bifurcations). We test the feasibility of this model quantitatively and demonstrate how the model can account for up to 86% of the observed choice behavior. The implications of using dynamical models for explaining the nonlinear complexities of human decision making are discussed as well as the degree to which the theory of nonlinear dynamical systems might offer an alternative framework for understanding human decision making processes.     

决策风格的理论发展及建构：基于信息加工视角

决策风格是人们在决策中表现出来的习惯性或独特的行为模式, 对决策、管理等领域均有重要影响。近年兴起的决策风格理论主要基于个体信息加工策略, 如基于双加工理论和基于后悔情绪的决策风格模型等。决策风格对个体决策的影响表现在决策策略与偏差、情绪和无意识加工等方面。该领域在诸如决策风格的主要理论、测量工具和理论检验等方面亦取得积极进展, 未来研究方向应注意基于双加工理论和进化心理学建构决策风格理论。     

Domain-specific and domain-general processes underlying metacognitive judgments

Metacognition and self-awareness are commonly assumed to operate as global capacities. However, there have been few attempts to test this assumption across multiple cognitive domains and metacognitive evaluations. Here, we assessed the covariance between “online” metacognitive processes, as measured by decision confidence judgments in the domains of perception and memory, and error awareness in the domain of attention to action. Previous research investigating metacognition across task domains have not matched stimulus characteristics across tasks raising the possibility that any differences in metacognitive accuracy may be influenced by local task properties. The current experiment measured metacognition in perceptual, memorial and attention tasks that were closely matched for stimulus characteristics. We found that metacognitive accuracy across the three tasks was dissociated suggesting that domain specific networks support an individual’s capacity for accurate metacognition. This finding was independent of objective performance, which was controlled using a staircase procedure. However, response times for metacognitive judgments and error awareness were associated suggesting that shared mechanisms determining how these meta-level evaluations unfold in time may underlie these different types of decision. In addition, the relationship between these laboratory measures of metacognition and reports of everyday functioning from participants and their significant others (informants) was investigated. We found that informant reports, but not self reports, predicted metacognitive accuracy on the perceptual task and participants who underreported cognitive difficulties relative to their informants also showed poorer metacognitive accuracy on the perceptual task. These results are discussed in the context of models of metacognitive regulation and neuropsychological evidence for dissociable metacognitive systems. The potential for the refinement of metacognitive assessment in clinical populations is also discussed.     

Rethinking the explanatory power of dynamical models in cognitive science

In this paper I offer an interventionist perspective on the explanatory structure and explanatory power of (some) dynamical models in cognitive science: I argue that some “pure” dynamical models – ones that do not refer to mechanisms at all – in cognitive science are “contextualized causal models” and that this explanatory structure gives such models genuine explanatory power. I contrast this view with several other perspectives on the explanatory power of “pure” dynamical models. One of the main results is that dynamical models need not refer to underlying mechanisms in order to be explanatory. I defend and illustrate this position in terms of dynamical models of the A-not-B error in developmental psychology as elaborated by Thelen and colleagues, and dynamical models of unintentional interpersonal coordination developed by Richardson and colleagues.     

A Model of Students' Decimal Computation Procedures

A model that describes the construction and execution of decimal computation procedures is presented. Our hypothesis is that students compute by relying solely on syntax-based rules; semantic knowledge has no effect on performance. To test the claim, a model is developed in which computation procedures are viewed as chains of component symbol manipulation rules. The model assumes that students acquire through instruction the individual rules that achieve subgoals in the computation process. The task for the procedural system is to select rules that satisfy each subgoal in sequence. The model specifies the rules of the system and identifies the syntactic features of the task that affect the selection of individual rules at each decision point. It then predicts the relative difficulty of decimal computation items and predicts the procedural flaw that will occur most frequently on each item. Written test and interview data are presented to test the predictions. Concluding comments discuss the nature of students' computation procedures, compare the model with other models of computation performance, and outline how the model might inform instruction.     

Approche systémique et interindividuelle des rapports travail/hors travail : rôle des processus de reconnaissance dans une situation de reconversion professionnelle

Contrary to models which favour a bipolar approach of work/non work relationships, and an individualizing conception of their regulation mechanisms, we suggest a plural and systemic definition of life domains. We also defend a relational approach of elaboration processes of their possible conflicts. Contents discourses analysis from employees confronted with a redundancy scheme, shows how their professional reintegration strategies go always through an individual and collective deliberation about the meaning, the nature and hierarchy of relationships that are supposed to be established between their different domains of life. In the past, in the present and the future, in every domain of life, individual and collective others, targets and supports of recognizing, are materially and affectively associated with those deliberations.     

Breaking the rules in perceptual information integration

We develop a broad theoretical framework for modelling difficult perceptual information integration tasks under different decision rules. The framework allows us to compare coactive architectures, which combine information before it enters the decision process, with parallel architectures, where logical rules combine independent decisions made about each perceptual source. For both architectures we test the novel hypothesis that participants break the decision rules on some trials, making a response based on only one stimulus even though task instructions require them to consider both. Our models take account of not only the decisions made but also the distribution of the time that it takes to make them, providing an account of speed-accuracy tradeoffs and response biases occurring when one response is required more often than another. We also test a second novel hypothesis, that the nature of the decision rule changes the evidence on which choices are based. We apply the models to data from a perceptual integration task with near threshold stimuli under two different decision rules. The coactive architecture was clearly rejected in favor of logical-rules. The logical-rule models were shown to provide an accurate account of all aspects of the data, but only when they allow for response bias and the possibility for subjects to break those rules. We discuss how our framework can be applied more broadly, and its relationship to Townsend and Nozawa’s (1995) Systems-Factorial Technology.     

主观价值计算与整合的神经机制及其影响因素

决策在人类社会发展的历程中扮演着非常重要的作用,而对其神经机制的探讨才不过几十年的时间。基于价值的决策理论,强调人们首先计算和表征事物的价值,随后比较和决策。在人脑中负责主观价值计算的神经基础有腹内侧前额叶皮层、眶额皮层以及其他脑区,而负责价值整合的脑区有腹内侧前额叶皮层、眶额皮层、背外侧前额叶皮层等。其中时间和风险的价值计算有着相同的神经基础,并且人脑可以将不同属性以及成本进行整合形成主观价值,按照曲线交互作用范式进行。通过自我控制、注意和认知调节等方法,同样可以调制人们的主观价值大小。未来需要继续强调模式分析、个体差异、老龄化和基因对价值计算的影响。     

决策中社会价值取向的理论与测评方法

传统经济学决策理论强调利己性假设, 认为个体是理性的并由个人利益所驱动的。但是, 个体在相依情境中的社会动机要比利己性假设更为复杂, 具有较大的个体差异。社会价值取向是指个体在相依情境中对自己收益和他人收益分配的特定偏好, 是一个用来描述个体对他人利益关注程度的个体差异的概念。本文回顾了测量社会价值取向的三优势测量、环形测验和滑块测验等方法, 强调了不同测评方法的优点与不足, 并简要总结了决策、社会认知、共情、亲社会行为等领域内相关的社会价值取向研究。未来的研究则需要探索社会价值取向与不同社会因素的交互作用, 以及不同社会价值取向个体的神经机制等方面的研究。     

Is it worth generating rules from neural network ensembles?

Although many authors generated comprehensible models from individual networks, much less work has been done in the explanation of ensembles. DIMLP is a special neural network model from which rules are generated at the level of a single network and also at the level of an ensemble of networks. We applied ensembles of 25 DIMLP networks to several datasets of the public domain and a classification problem related to post-translational modifications of proteins. For the classification problems of the public domain, the average predictive accuracy of rulesets extracted from ensembles of neural networks was significantly better than the average predictive accuracy of rulesets generated from ensembles of decision trees. By varying the architectures of DIMLP networks we found that the average predictive accuracy of rules, as well as their complexity were quite stable. The comparison to other rule extraction techniques applied to neural networks showed that rules generated from DIMLP ensembles gave very good results. In the last problem related to bioinformatics, the best result obtained by ensembles of DIMLP networks was also significantly better than the best result obtained by ensembles of decision trees. Thus, although neural networks take much longer to train than decision trees and also rules are generated at a greater computational cost (however, still polynomial), at least for several classification problems it was worth using neural network ensembles, as extracted rules were more accurate, on average. The DIMLP software is available for PC-Linux under http://us.expasy.org/people/Guido.Bologna.html.     

Signal detection models for the same–different task

Signal detection models for the same–different task are presented. In contrast to the standard approach that only considers the proportion correct, the models apply to the full four by two same–different table. The approach allows one to consider models that recognize bias and other effects. Two basic signal detection models, associated with different decision rules, are presented. A version of the covert decisions rule is introduced that directly allows for same–different bias, in contrast to earlier versions. It is shown how to fit the models with standard software for nonlinear mixed models. The models are applied to data from a recent same–different study.     

On decision rules and information processing strategies for choices among multiattribute alternatives

Abstract.— It is suggested that a decision in a complex situation can be described as a sequential process in which different decision rules and information processing strategies can be used at different points in time. Examples of possible decision rules are presented in an approximate order of complexity. Two ways for processing the information in a decision situation, viz., breadth-first or depth-first strategies, are discussed and suggestions are made about their relationship to particular decision rules. Finally, it is proposed that the order of application of particular rules in a decision process is guided by a tendency to minimize cognitive effort.     

Animal sociobiology and comparative psychology: A review

The implications of sociobiology for comparative psychology are discussed. First, the following preliminary topics are considered: (a) the historical origins of sociobiology, and (b) the general criticisms leveled at this field. Second, the characteristics of the evolutionary functional approach to animal behavior are outlined: (a) the individual focus of natural selection, with its associated implications for the evolution of altruism, and (b) the use of mathematical models, notably optimality and games theory models. Third, it is suggested that the evolutionary functional approach can enrich the study of comparative psychology in the following ways: (a) by providing a broad framework for interspecific comparisons based on the principle of natural selection, and (b) by aiding the study of motivation and learning mechanisms through focusing attention on the function of such mechanisms.