Psychologists in Academic Health Settings: Key Contributors to Dynamic Interplay Among Research, Clinical Practice, and Policy Domains

Psychologists in academic health systems are in a unique position to impact the dynamic interplay among research, clinical practice, and policy domains. In addition to their specialty expertise in psychopathology, particular types of physical illness and disease, and health promotion, psychologists have substantial knowledge of human behavior, refined scientific skills, knowledge and experience in the effective delivery of clinical services, strengths in written expression, and a collaborative orientation. This combination of strengths makes psychologists extremely well-suited for (a) interdisciplinary efforts to develop and implement evidence-based assessment and intervention strategies with biological, psychological, behavioral, and social components, and (b) leadership and advocacy efforts that impact the quality and availability of health care services.     

An evolutionary system for neural logic networks using genetic programming and indirect encoding

Nowadays, intelligent connectionist systems such as artificial neural networks have been proved very powerful in a wide area of applications. Consequently, the ability to interpret their structure was always a desirable feature for experts. In this field, the neural logic networks (NLN) by their definition are able to represent complex human logic and provide knowledge discovery. However, under contemporary methodologies, the training of these networks may often result in non-comprehensible or poorly designed structures. In this work, we propose an evolutionary system that uses current advances in genetic programming that overcome these drawbacks and produces neural logic networks that can be arbitrarily connected and are easily interpretable into expert rules. To accomplish this task, we guide the genetic programming process using a context-free grammar and we encode indirectly the neural logic networks into the genetic programming individuals. We test the proposed system in two problems of medical diagnosis. Our results are examined both in terms of the solution interpretability that can lead in knowledge discovery, and in terms of the achieved accuracy. We draw conclusions about the effectiveness of the system and we propose further research directions.     

Impulse processing: a dynamical systems model of incremental eye movements in the visual world paradigm

The Visual World Paradigm (VWP) presents listeners with a challenging problem: They must integrate two disparate signals, the spoken language and the visual context, in support of action (e.g., complex movements of the eyes across a scene). We present Impulse Processing, a dynamical systems approach to incremental eye movements in the visual world that suggests a framework for integrating language, vision, and action generally. Our approach assumes that impulses driven by the language and the visual context impinge minutely on a dynamical landscape of attractors corresponding to the potential eye-movement behaviors of the system. We test three unique predictions of our approach in an empirical study in the VWP, and describe an implementation in an artificial neural network. We discuss the Impulse Processing framework in relation to other models of the VWP.     

坡度知觉及其影响因素的研究进展

人们对于地表斜坡的知觉是非常不准确的,通常表现为对坡度估计过高。但是,研究发现,在以行为的方式对坡度进行模拟时,所模拟的坡度值却与实际坡度基本一致。这种面对同一视觉线索出现的视知觉与行为不一致的现象即为坡度知觉中的“知觉-行为分离”。本文回顾了影响坡度知觉的各种因素,涉及视觉线索、认知判断、感觉通道、生理状态以及报告方式等方面的研究,并对坡度知觉的未来研究进行了展望。     

An analytic tableau calculus for a temporalised belief logic

A tableau is a refutation-based decision procedure for a related logic, and is among the most popular proof procedures for modal logics. In this paper, we present a labelled tableau calculus for a temporalised belief logic called TML⁺, which is obtained by adding a linear-time temporal logic onto a belief logic by the temporalisation method of Finger and Gabbay. We first establish the soundness and the completeness of the labelled tableau calculus based on the soundness and completeness results of its constituent logics. We then sketch a resolution-type proof procedure that complements the tableau calculus and also propose a model checking algorithm for TML⁺ based on the recent results for model checking procedures for temporalised logics. TML⁺ is suitable for formalising trust and agent beliefs and reasoning about their evolution for agent-based systems. Based on the logic TML⁺, the proposed labelled tableau calculus could be used for analysis, design and verification of agent-based systems operating in dynamic environments.     

High regularities in eye-movement patterns reveal the dynamics of the visual working memory allocation mechanism

With only two to five slots of visual working memory (VWM), humans are able to quickly solve complex visual problems to near optimal solutions. To explain the paradox between tightly constrained VWM and impressively complex human visual problem-solving ability, we propose several principles for dynamic VWM allocation. In particular, we propose that complex visual information is represented in a temporal manner using only a few slots of VWM that include global and local visual chunks. We built a model of human traveling salesman problem solving based on these principles of VWM allocation and tested the model with eye-movement data. Exactly as the model predicted, human eye movements during traveling salesman problem solving have precise quantitative regularities with regard to both the general statistical pattern of attentional fixations and how they vary across individuals with different VWM capacities. Even though VWM capacity is very limited, eye movements dynamically allocate VWM resources to both local and global information, enabling attention to fine details without loss of the big picture.     

Public good provision in inter‐team conflicts: Effects of asymmetry and profit‐sharing rule

A fundamental problem in organizations is designing mechanisms for eliciting voluntary contributions from individual members of a team who are entrapped in a social dilemma. To solve the problem, we utilize a game‐theoretical framework that embeds the traditional within‐team social dilemma in a between‐team competition for an exogenously determined prize. In equilibrium, such competition enhances the incentive to contribute, thereby reducing free‐riding. Extending existing literature, we focus on asymmetric competitions between teams of unequal size, and competitions between more than two teams. Comparing two protocols for sharing the prize—egalitarian and proportional profit‐sharing rules—we find that (i) free‐riding diminishes and (ii) team members contribute more toward their team's effort when they belong to the larger team and when the profit‐sharing rule is proportional. (iii) Additionally, under the egalitarian profit‐sharing rule team members contribute more than predicted by the equilibrium solution. We discuss implications of our findings for eliciting contributions in competitive environments. Copyright © 2009 John Wiley & Sons, Ltd.     

The community substance use environment: The development and predictive ability of a multi‐method and multiple‐reporter measure

This study tested the feasibility and utility of developing a multiple‐method and multiple‐reporter measure that describes the community substance use environment. Data on community‐level norms and availability of substances were reported by 5261 students and 181 prevention‐focused community leaders (CL) involved in the 28 promoting school–university–community partnerships to enhance resilience (PROSPER) Project communities between 2002 and 2005. Additionally, locations of alcohol and tobacco outlets were geocoded. Initially, these four subscales were aggregated to measure the community substance use environment. Analyses demonstrated this measure was associated with community rates of adolescent reported cigarette use, but it was not associated with community rates of adolescent reported alcohol use. Further analyses tested the relative strength of the four different subscales in predicting rates of student use. Implications of these results for the field of community‐based prevention are discussed, as well as limitations and future directions. Copyright © 2009 John Wiley & Sons, Ltd.     

Substantive and procedural norms in normative multiagent systems

Procedural norms are instrumental norms addressed to agents playing a role in the normative system, for example to motivate these role playing agents to recognize violations or to apply sanctions. Procedural norms have first been discussed in law, where they address legal practitioners such as legislators, lawyers and policemen, but they are discussed now too in normative multiagent systems to motivate software agents. Procedural norms aim to achieve the social order specified using regulative norms like obligations and permissions, and constitutive norms like counts-as obligations. In this paper we formalize procedural, regulative and constitutive norms using input/output logic enriched with an agent ontology and an abstraction hierarchy. We show how our formalization explains Castelfranchi's notion of mutual empowerment, stating that not only the agents playing a role in a normative system are empowered by the normative system, but the normative system itself is also empowered by the agents playing a role in it. In our terminology, the agents are not only institutionally empowered, but they are also delegated normative goals from the system. Together, institutional empowerment and normative goal delegation constitute a mechanism which we call delegation of power, where agents acting on behalf of the normative system become in charge of recognizing which institutional facts follow from brute facts.     

Rigorous Experiments on Monkey Love: An Account of Harry F. Harlow’s Role in the History of Attachment Theory

On the basis of personal reminiscences an account is given of Harlow’s role in the development of attachment theory and key notions of attachment theory are being discussed. Among other things, it is related how Harlow arrived at his famous research with rhesus monkeys and how this made Harlow a highly relevant figure for attachment theorist Bowlby.