The subjective quality of episodic future thought and the experience of meaning in life

Two studies assessed whether mentally simulating specific future events to occur in familiar (vs. unfamiliar) settings indirectly increases meaning life via the subjective quality of the simulations. Participants in both studies (N = 344) were randomly assigned to visualize themselves doing something in familiar (e.g. home) or unfamiliar (e.g. fantasy world) settings in the future. They then rated the subjective quality of these visualizations and completed a measure of meaning in life. We replicated previous findings by showing that mental simulations involving familiar settings were of greater subjective quality than simulations involving unfamiliar settings. However, we also found that simulating future events in familiar (vs. unfamiliar) settings indirectly increased the perceived meaningfulness of life. These findings integrate research in cognitive psychology with research on the psychology of well-being and reveal how mental time travel contributes to the perception that one’s life has meaning.     

航空模拟舱飞行行为的EPIC理论仿真

利用计算机技术,以执行过程交互控制(EPIC)理论框架为基础,建立了一个虚拟飞行员飞行过程的计算模型,并对人在复杂任务下的作业绩效进行了仿真。结果表明：(1)该研究在原有EPIC理论基础上发展的仿真模型合理可行;(2)仿真结果和实验结果拟合良好,模型具有良好的预测能力。该研究为以仿真方法研究复杂任务的心理过程提供了一次有益的尝试。     

Is computer simulation changing the face of experimentation?

Morrison points out many similarities between the roles of simulation models and other sorts of models in science. On the basis of these similarities she claims that running a simulation is epistemologically on a par with doing a traditional experiment and that the output of a simulation therefore counts as a measurement. I agree with her premises but reject the inference. The epistemological payoff of a traditional experiment is greater (or less) confidence in the fit between a model and a target system. The source of this payoff is the existence of a causal interaction with the target system. A computer experiment, which does not go beyond the simulation system itself, lacks any such interaction. So computer experiments cannot confer any additional confidence in the fit (or lack thereof) between the simulation model and the target system.     

A Conundrum Concerning Creation

In this paper, I expose a conundrum regarding divine creation as Leibniz conceives of such creation. What energizes the conundrum is that the concept of omnibenevolence—“consequential omnibenevolence”—that the Leibnizian argument for the view that the actual world is the best of all possible worlds presupposes, appears to sanction the conclusion that God has no practical reasons to create the actual world.

Researching a Local Heroin Market as a Complex Adaptive System

This project applies agent-based modeling (ABM) techniques to better understand the operation, organization, and structure of a local heroin market. The simulation detailed was developed using data from an 18-month ethnographic case study. The original research, collected in Denver, CO during the 1990s, represents the historic account of users and dealers who operated in the Larimer area heroin market. Working together, the authors studied the behaviors of customers, private dealers, street-sellers, brokers, and the police, reflecting the core elements pertaining to how the market operated. After evaluating the logical consistency between the data and agent behaviors, simulations scaled-up interactions to observe their aggregated outcomes. While the concept and findings from this study remain experimental, these methods represent a novel way in which to understand illicit drug markets and the dynamic adaptations and outcomes they generate. Extensions of this research perspective, as well as its strengths and limitations, are discussed.     

Consensus scoring, correct responses and reliability of the MSCEIT V2

The scoring protocol adopted by the MSCEIT V2 has been criticised since its development. The present study raises questions regarding the value of consensus scoring by analysing responses within the categorical subscales of Changes and Blends using the Optimal Scaling technique within the Categorical Principal Components Analysis (CATPCA) via Statistical Package for the Social Sciences (SPSS), (n = 206). On a number of occasions, there was no clear agreement as to the “correct” response to items within these categorical subscales. Such an issue seems integral to the application of the MSCEIT V2 and one which deserves more attention. On a more positive note, improvements were made to the reliabilities of the subscales of Changes and Blends, using Optimal Scaling, but less so for Changes. Nevertheless, this raises the possibility of improving the reliabilities of other subscales in the MSCEIT V2 and in turn improving the power of subsequent statistical tests.     

Spatial representations elicit dual-coding effects in mental imagery

Spatial aspects of words are associated with their canonical locations in the real world. Yet little research has tested whether spatial associations denoted in language comprehension generalize to their corresponding images. We directly tested the spatial aspects of mental imagery in picture and word processing (Experiment 1). We also tested whether spatial representations of motion words produce similar perceptual-interference effects as demonstrated by object words (Experiment 2). Findings revealed that words denoting an upward spatial location produced slower responses to targets appearing at the top of the display, whereas words denoting a downward spatial location produced slower responses to targets appearing at the bottom of the display. Perceptual-interference effects did not obtain for pictures or for words lacking a spatial relation. These findings provide greater empirical support for the perceptual-symbols system theory ( Barsalou, 1999, 2008 ).     

Fishing for the right words: decision rules for human foraging behavior in internal search tasks

Animals depleting one patch of resources must decide when to leave and switch to a fresh patch. Foraging theory has predicted various decision mechanisms; which is best depends on environmental variation in patch quality. Previously we tested whether these mechanisms underlie human decision making when foraging for external resources; here we test whether humans behave similarly in a cognitive task seeking internally generated solutions. Subjects searched for meaningful words made from random letter sequences, and as their success rate declined, they could opt to switch to a fresh sequence. As in the external foraging context, time since the previous success and the interval preceding it had a major influence on when subjects switched. Subjects also used the commonness of sequence letters as a proximal cue to patch quality that influenced when to switch. Contrary to optimality predictions, switching decisions were independent of whether sequences differed little or widely in quality.     

基于概化理论的方差分量变异量估计

概化理论广泛应用于心理与教育测量实践中, 方差分量估计是进行概化理论分析的关键。方差分量估计受限于抽样, 需要对其变异量进行探讨。采用蒙特卡洛(Monte Carlo)数据模拟技术, 在正态分布下讨论不同方法对基于概化理论的方差分量变异量估计的影响。结果表明: Jackknife方法在方差分量变异量估计上不足取; 不采取Bootstrap方法的“分而治之”策略, 从总体上看, Traditional方法和有先验信息的MCMC方法在标准误及置信区间这两个变异量估计上优势明显。     

ACACIA: an agent-based program for simulating behavior to reach long-term goals

We present ACACIA, an agent-based program implemented in Java StarLogo 2.0 that simulates a two-dimensional microworld populated by agents, obstacles and goals. Our program simulates how agents can reach long-term goals by following sensorial-motor couplings (SMCs) that control how the agents interact with their environment and other agents through a process of local categorization. Thus, while acting in accordance with this set of SMCs, the agents reach their goals through the emergence of global behaviors. This agent-based simulation program would allow us to understand some psychological processes such as planning behavior from the point of view that the complexity of these processes is the result of agent–environment interaction.