Implicit measures of actual versus ideal body image : relations with self-reported body dissatisfaction and dieting behaviors

Body dissatisfaction refers to a negative appreciation of one’s own body stemming from a discrepancy between how one perceives his/her body (actual body image) and how he/she wants it to be (ideal body image). To circumvent the limitations of self-report measures of body image, measures were developed that allow for a distinction between actual and ideal body image at the implicit level. The first goal of the present study was to investigate whether self-reported body dissatisfaction is related to implicit measures of actual and ideal body image as captured by the Relational Responding Task (RRT). Secondly, we examined whether these RRT measures were related to several indices of dieting behavior. Women high in body dissatisfaction (n = 30) were characterized by relatively strong implicit I-am-fat beliefs, whereas their implicit I-want-to-be-thinner beliefs were similar to individuals low in body dissatisfaction (n = 37). Implicit body image beliefs showed no added value over explicit body image beliefs in predicting body dissatisfaction and dieting behavior. These findings support the idea that the interplay between ideal and actual body image drives (self-reported) body dissatisfaction. However, strong support for the view that it would be critical to differentiate between explicit and implicit body image beliefs is missing

An Architectural Approach to Ensuring Consistency in Hierarchical Execution

Hierarchical task decomposition is a method used in many agent systems to organize agent knowledge. This work shows how the combination of a hierarchy and persistent assertions of knowledge can lead to difficulty in maintaining logical consistency in asserted knowledge. We explore the problematic consequences of persistent assumptions in the reasoning process and introduce novel potential solutions. Having implemented one of the possible solutions, Dynamic Hierarchical Justification, its effectiveness is demonstrated with an empirical analysis

Towards a goal-oriented agent-based simulation framework for high-performance computing

Currently, agent-based simulation frameworks force the user to choose between simulations involving a large number of agents (at the expense of limited agent reasoning capability) or simulations including agents with increased reasoning capabilities (at the expense of a limited number of agents per simulation). This paper describes a first attempt at putting goal-oriented agents into large agentbased (micro-)simulations. We discuss a model for goal-oriented agents in HighPerformance Computing (HPC) and then briefly discuss its implementation in PyCOMPSs (a library that eases the parallelisation of tasks) to build such a platform that benefits from a large number of agents with the capacity to execute complex cognitive agents.Peer ReviewedPostprint (author's final draft

Micro-Founded Institutions and Macro-Founded Individuals: The Dual Nature of Profit

Starting from the observation that surplus-value is almost always due to the collective undertaking of non additively separable human capital investments, this paper introduces a theory of the institutional structure of production where groups are taken as units of analysis in a multi-level competition framework inspired by Marx’s critique of the ‘abstract man’. The main result is that monopoly profit is not the only meaningful notion of profit besides the value of individual contribution and, as a consequence, freeentry and competition do not necessarily wipe it outvalue, power, conflict, competition, social classes

The role of group values in the relationship between group faultlines and performance

This study explores the moderating effects of group values on the relationship between group faultlines and performance. Faultlines occur when group members align along two or more different demographic characteristics causing a group to split into homogeneous subgroups (adapted from Lau and Murnighan, 1998). We theorize and empirically examine three group values variables: career-, change-, and task-specificity. Analyses are performed on 81 work groups from a Fortune 500 information processing firm. Two levels of performance are considered in connection with group faultlines: individual performance (performance ratings) and group performance (bonuses and stock options). Our results provide support for our model of group values, faultiness and performance

Surplus-Value, Distribution and Exploitation

This paper introduces a notion of exploitation according to which participants in a cooperative production process are exploited to the extent that their earnings coincide with what they would earn from independent participation in the production process. This notion is then used to show that, in general, the institutional structure of production is not the solution to the problem of (opportunistic) exploitation, but may instead be the condition itself for its occurrence. Starting from the observation that surplus-value is almost always created by the collective undertaking of non additively separable investments, the key to the result is to take groups as units of analysis in a Marx-inspired framework driven by the evolutionary principle of differential, multilevel profit realizationbetween-group competition, within-group competition, intra-group relationships, inter-group relationships, efficiency-enhancing distribution.

Continuous Improvement Through Knowledge-Guided Analysis in Experience Feedback

Continuous improvement in industrial processes is increasingly a key element of competitiveness for industrial systems. The management of experience feedback in this framework is designed to build, analyze and facilitate the knowledge sharing among problem solving practitioners of an organization in order to improve processes and products achievement. During Problem Solving Processes, the intellectual investment of experts is often considerable and the opportunities for expert knowledge exploitation are numerous: decision making, problem solving under uncertainty, and expert configuration. In this paper, our contribution relates to the structuring of a cognitive experience feedback framework, which allows a flexible exploitation of expert knowledge during Problem Solving Processes and a reuse such collected experience. To that purpose, the proposed approach uses the general principles of root cause analysis for identifying the root causes of problems or events, the conceptual graphs formalism for the semantic conceptualization of the domain vocabulary and the Transferable Belief Model for the fusion of information from different sources. The underlying formal reasoning mechanisms (logic-based semantics) in conceptual graphs enable intelligent information retrieval for the effective exploitation of lessons learned from past projects. An example will illustrate the application of the proposed approach of experience feedback processes formalization in the transport industry sector