Search results for "Organizing"

From deterministic cellular automata to coupled map lattices

2016

A general mathematical method is presented for the systematic construction of coupled map lattices (CMLs) out of deterministic cellular automata (CAs). The entire CA rule space is addressed by means of a universal map for CAs that we have recently derived and that is not dependent on any freely adjustable parameters. The CMLs thus constructed are termed real-valued deterministic cellular automata (RDCA) and encompass all deterministic CAs in rule space in the asymptotic limit $\kappa \to 0$ of a continuous parameter $\kappa$. Thus, RDCAs generalize CAs in such a way that they constitute CMLs when $\kappa$ is finite and nonvanishing. In the limit $\kappa \to \infty$ all RDCAs are shown to ex…

Stepping up to strike: a union mobilization case study of Polish migrant workers in the Netherlands

2015

This article examines a union mobilization of Polish temporary agency workers in the Netherlands. The case study contributes to the migrant organizing literature a micro-level account of the dynamics of mobilization from the viewpoint of the migrants and organizers involved. The findings emphasize the importance of key actors in building solidarities within and between different groups of workers in fragmented workplaces, with implications for unions seeking new ways to respond to changing employment practices. This study highlights some of the possibilities and limitations of organizing among contractually fragmented workforces.

How do we understand other's intentions? - An implementation of mindreading in artificial systems -

Self organizing maps as a novel tool for data analysis in education

2016

Young people currently live and are connected to the virtual world in a natural and simple way. Nevertheless, in spite of the great advantages of the use of Information and Communication Technology, and particularly social networks, there are several drawbacks, principally security and privacy of net users. However, human behaviour is strongly non-linear, so usual statistical analysis does not yield accurate results. Now, machine learning algorithms are very common in solving real life non-linear problems, such as economics, medicine and engineering. So it would be worthy to apply this methodology on education data sets. In this work, a non-linear, visual algorithm named Self Organizing Map…

Nonlinear embeddings: Applications to analysis, fractals and polynomial root finding

2016

We introduce $\mathcal{B}_{\kappa}$-embeddings, nonlinear mathematical structures that connect, through smooth paths parameterized by $\kappa$, a finite or denumerable set of objects at $\kappa=0$ (e.g. numbers, functions, vectors, coefficients of a generating function...) to their ordinary sum at $\kappa \to \infty$. We show that $\mathcal{B}_{\kappa}$-embeddings can be used to design nonlinear irreversible processes through this connection. A number of examples of increasing complexity are worked out to illustrate the possibilities uncovered by this concept. These include not only smooth functions but also fractals on the real line and on the complex plane. As an application, we use $\mat…

Order Parameters for Self-Organizing Maps

1998

We introduce and discuss different approaches to construct order parameters for Kohonen’s Self-Organizing Maps. As one approach the notion of an order parameter in the sense of Haken’s synergetics is studied and contrasted with organization measures using SOM structure information.

Overcoming Barriers to Transnational Organizing Through Identity Work : Finnish-Estonian Trade Union Cooperation

2018

This article analyses a project by Finnish and Estonian unions to adopt ‘organizing model’ strategies through establishing the transnational ‘Baltic Organising Academy’. Initially aimed at Estonian workplaces, successful campaigns inspired Finnish unions to copy the model in Finland. This cooperation was originally motivated by labour market interdependence between the two countries, and the failure of past social-partnership oriented union strategies in Estonia. The willingness of Finnish and Estonian unions to commit resources to transnational cooperation around an ‘organizing model’ marks a dramatic departure from the unions’ previous strategies. This change was accomplished by transnati…

Growing Hierarchical Self-organizing Maps and Statistical Distribution Models for Online Detection of Web Attacks

2013

In modern networks, HTTP clients communicate with web servers using request messages. By manipulating these messages attackers can collect confidential information from servers or even corrupt them. In this study, the approach based on anomaly detection is considered to find such attacks. For HTTP queries, feature matrices are obtained by applying an n-gram model, and, by learning on the basis of these matrices, growing hierarchical self-organizing maps are constructed. For HTTP headers, we employ statistical distribution models based on the lengths of header values and relative frequency of symbols. New requests received by the web-server are classified by using the maps and models obtaine…

A classification of motivation and behavior change techniques used in self-determination theory-based interventions in health contexts

2020

While evidence suggests that interventions based on self-determination theory have efficacy in motivating adoption and maintenance of health-related behaviors, and in promoting adaptive psychological outcomes, the motivational techniques that comprise the content of these interventions have not been comprehensively identified or described. The aim of the present study was to develop a classification system of the techniques that comprise self-determination theory interventions, with satisfaction of psychological needs as an organizing principle. Candidate techniques were identified through a comprehensive review of self-determination theory interventions and nomination by experts. The study…

Simulating music with associative self-organizing maps

2018

Abstract We present an architecture able to recognise pitches and to internally simulate likely continuations of partially heard melodies. Our architecture consists of a novel version of the Associative Self-Organizing Map (A-SOM) with generalized ancillary connections. We tested the performance of our architecture with melodies from a publicly available database containing 370 Bach chorale melodies. The results showed that the architecture could learn to represent and perfectly simulate the remaining 20% of three different interrupted melodies when using a context length of 8 centres of activity in the A-SOM. These promising and encouraging results show that our architecture offers somethi…