On the Relationship Between the Generalized Equality Classifier and ART 2 Neural Networks

In this paper, we introduce the Generalized Equality Classifier (GEC) for use as an unsupervised clustering algorithm in categorizing analog data. GEC is based on a formal definition of inexact equality originally developed for voting in fault tolerant software applications. GEC is defined using a metric space framework. The only parameter in GEC is a scalar threshold which defines the approximate equality of two patterns. Here, we compare the characteristics of GEC to the ART2-A algorithm (Carpenter, Grossberg, and Rosen, 1991). In particular, we show that GEC with the Hamming distance performs the same optimization as ART2. Moreover, GEC has lower computational requirements than AR12 on serial machines.

Achieving Gender Equality

This essay asserts that both men and women must work together to break the ubiquitous glass ceiling in the sciences.

Discourses of equality in post-Agreement Northern Ireland

This article analyses the use of equality as a concept central to the implementation of the 1998 Good Friday Agreement in Northern Ireland. The authors argue that, although equality legislation is succeeding in redressing previous discrimination in society, the discourses that have emerged around it have exacerbated competition and polarization between communities for two main reasons. Firstly, in " selling' the Agreement to their supporters, political elites have appropriated community-specific definitions of the concept, thus reinforcing rather than weakening group differences. Secondly, the practice of equality legislation involves the definitive categorization of individuals as members of particular groups. This article examines these processes and their effects through the analysis of the discourse of nationalist and Unionist Party elites and of individual Catholics and Protestants. This is done in order to capture the dynamics of change in political communication and identification rather than simply describing institutional alterations.