Cognitive discrimination: A benchmark experimental study.

Pattern Discrimination Using Feedforward Networks: A Benchmark Study of Scaling Behavior

The discrimination powers of Multilayer perceptron (MLP) and Learning Vector Quantisation (LVQ) networks are compared for overlapping Gaussian distributions. It is shown, both analytically and with Monte Carlo studies, that the MLP network handles high dimensional problems in a more eecient way than LVQ. This is mainly due to the sigmoidal form of the MLP transfer function, but also to the the ...

Experimental benchmark for casting problems

The problem motivating the current work is a mould filling during casting process. The aim of our analysis is to provide a simple experimental model simulating the main flow characteristics accompanying such process. Hence, the hot fluid is supplied under high pressure into an inclined box. Fluid flows inside the box between two cold isothermal walls, passing obstacles simulating internal compl...

Cognitive Network Structure: an Experimental Study

In this paper we present first experimental results about a small group of people exchanging private and public messages in a virtual community. Our goal is the study of the cognitive network that emerges during a chat seance. We used the Derrida coefficient and the triangle structure under the working assumption that moods and perceived mutual affinity can produce results complementary to a fu...

Experimental Studies of Discrimination

An Experimental Study of Statistical Discrimination by Employers

This paper reports findings of an experiment motivated by a dynamic labor market model that considers the problem faced by an employer in making hiring decisions of workers of different types. The question examined here is how quickly employers learn about the ability of a group of workers through observing the performance of representatives of that group in the workplace. If prior opinions are...