Evolutive equilibrium selection I: symmetric two player binary choice games

The aim of the paper is the construction of a distributional model which enables the study of the evolutionary dynamics that arise for symmetric games, and the equilibrium selection mechanisms that originate from such processes. The evolution of probability distributions over the state variables is studied using the Fokker-Planck diffusion equation. Equilibrium selection using the ��basin of attraction�� approach, and a selection process suggested by Pontryagin are contrasted. Examples are provided for all generic 2-person symmetric binary choice games

The heterogeneous effect of selection in secondary schools: understanding the changing role of ability

Previous work by the authors suggested that during the 1970s and 1980s, a person?s early cognitive ability became a less important determinant of his or her eventual educational achievement. Furthermore, over the same time period, family background started to have a greater impact on a person?s achievement. Given that this coincided with the gradual demise of the British selective grammar school system, it would seem that the role of selection (ability tracking) in the school system merits further investigation. This paper explores the inter-relationship between school selection, ability and educational achievement. Our regression and matching results indicate that the most able pupils in the selective school system did do better than those of similar ability in the mixed ability school system. We do not find evidence of significant negative effects of tracking for low/middle ability students

Color identification testing device

Testing device, which determines ability of a technician to identify color-coded electric wires, is superior to standard color blindness tests. It tests speed of wire selection, detects partial color blindness, allows rapid testing, and may be administered by a color blind person

Partner Selection in Public Goods Experiments

This paper studies the effect of introducing costly partner selection for the voluntary contribution to a public good. Subjects participate in six sequences of five rounds of a two-person public good game in partner design. At the end of each sequence, subjects can select a new partner out of six group members. Unidirectional and bidirectional partner selection mechanisms are introduced and compared to controls with random partner rematching. Results demonstrate significantly higher cooperation in correspondence to unidirectional partner selection than to bidirectional selection and random rematching. Average monetary effort for being able to choose a partner is substantially high and remains stable.Public goods, Partner selection, Experimental economics

Implicit Logic in Managerial Discourse: A Case Study in Choice of Selection Criteria

Little attention has been paid in mainstream selection theory to how selectors choose to justify criteria and whether there is evidence of any consistency or logic in the manner in which they do so. This paper addresses these questions within a socio-cognitive framework. A newly developed coding system is used to analyse and explain the discourse of 22 managers in justifying selection criteria for technical operators in a European broadcasting company. It was found that, even for a very technical position, managers with experience of the job for which candidates were being selected were more concerned with the values, beliefs and personalities of candidates. It also was found that, independently of their different levels of seniority and experience of selection or interviewing, all managers are more concerned with Person-Organisation Fit for both present and future needs than with immediate Person-Job Fit. The consistency of the findings suggests that there is an ‘implicit logic’ in the manner in which managers as selectors adopt criteria derived from implicit learning and tacit knowledge of both operational and organisational experience.

Person Re-Identification by Deep Joint Learning of Multi-Loss Classification

Existing person re-identification (re-id) methods rely mostly on either localised or global feature representation alone. This ignores their joint benefit and mutual complementary effects. In this work, we show the advantages of jointly learning local and global features in a Convolutional Neural Network (CNN) by aiming to discover correlated local and global features in different context. Specifically, we formulate a method for joint learning of local and global feature selection losses designed to optimise person re-id when using only generic matching metrics such as the L2 distance. We design a novel CNN architecture for Jointly Learning Multi-Loss (JLML) of local and global discriminative feature optimisation subject concurrently to the same re-id labelled information. Extensive comparative evaluations demonstrate the advantages of this new JLML model for person re-id over a wide range of state-of-the-art re-id methods on five benchmarks (VIPeR, GRID, CUHK01, CUHK03, Market-1501).Comment: Accepted by IJCAI 201