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Perspective relativity : a conceptual examination of the applicability of an articulated notion of "perspective" to such matters as the problem of meaningsHeppel, V. J. H. January 1985 (has links)
The aim of this thesis is to articulate and defend a general notion of 'perspectives' and some of the ways that they relate to one another, in order to help to clarify one of the preliminary conceptual problems in cybernetics, namely, the relation between energy propagation (signal) and information propagation (message). The literature on this topic is meagre, although the literature relevant to it is too great to cover comprehensively. The approach closely follows the ideas of Thomas Kuhn and Paul Feyerabend in the philosophy of science. It is found that the perspective notion has possible uses other than that of signal and message, since the same arguments apply to a wide variety of conceptual and human situations. The concepts considered include: point of view, field space, overall view, three broad categories of perspective difference, compatible and incompatible perspectives, the effect of values and goals, and mutual sensitivity and relevance of perspective spaces. There are five chapters: the first introduces the perspective approach to the 'problem of meanings' and provides a brief introduction to the other four chapters; the second examines two fragments of the philosophical background; the third offers a relatively informal discussion of perspectives and perspective relativity; the fourth suggests an example of a terminology of perspectives (true to perspective relativity, not the only possible one); and the final chapter summarises some immediate results as well as suggesting some possible specialised applications, including political models, information retrieval and machine intelligence.
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Experimental analysis and modelling of the behavioural interactions underlying the coordination of collective motion and the propagation of information in fish schools / Analyse expérimentale et modélisation des interactions comportementales impliquées dans la coordination des déplacements collectifs et la propagation d'information des bancs de poissonLecheval, Valentin 05 December 2017 (has links)
Les bancs de poissons sont des entités pouvant regrouper plusieurs milliers d'individus qui se déplacent de façon synchronisée, dans un environnement sujet à de multiples perturbations, qu'elles soient endogènes (e.g. le départ soudain d'un congénère) ou exogènes (e.g. l'attaque d'un prédateur). La coordination de ces bancs de poissons, décentralisée, n'est pas encore totalement comprise. Si les mécanismes sous-jacents aux interactions sociales proposés dans des travaux précédents reproduisent qualitativement les structures collectives observées dans la nature, la quantification de ces interactions et l'accord quantitatif entre ces mesures individuelles et les motifs collectifs sont encore rares dans les recherches récentes et forment l'objet principal de cette thèse. L'approche de ce travail repose sur une étroite combinaison entre les méthodes expérimentales et de modélisation dans l'objectif de découvrir les liens entre les comportements individuels et les structures observées à l'échelle collective. Nous avons caractérisé et quantifié les interactions et mécanismes à l'origine, d'abord, de la coordination des individus dans les bancs de poissons et, ensuite, de la propagation d'information, quand le groupe subit une perturbation endogène ou exogène. Ces travaux, tous réalisés en étudiant la même espèce de poisson d'eau douce, le nez-rouge (Hemigrammus rhodostomus), ont mobilisé une diversité de méthodes expérimentales, d'analyses statistique et de modélisation, à l'interface de l'éthologie, de la physique statistique et des sciences computationnelles. / Fish schools are systems in which thousands of individuals can move in a synchronised manner in a changing environment, with endogenous perturbations (e.g. when a congener leaves the group) or exogenous (e.g. the attack of a predator). The coordination of fish schools, decentralised, is not completely understood yet. If the mechanisms underlying social interactions discussed in previous studies qualitatively match the social patterns observed in nature, the quantification of these interactions and the quantitative match between individual measurements and collective patterns are still sparse in recent works and are the main focus of this thesis. This work combines closely experimental and modelling methods in order to investigate the links between the individual behaviours and the patterns observed at the collective scale. We have characterised and quantified the interactions and mechanisms at the origin of, first, the coordination of individuals in fish schools and, second, the propagation of information, when the group is under endogenous or exogenous perturbations. This thesis focuses on one freshwater fish species, the rummy-nose tetra (Hemigrammus rhodostomus), and is the result of a diversity of experimental methods, statistical analyses and modelling, at the interface of ethology, statistical physics and computational sciences.
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Modelling And Analyzing The Uncertainty Propagation In Vector-based Network Structures In GisYarkinoglu Gucuk, Oya 01 September 2007 (has links) (PDF)
Uncertainty is a quantitative attribute that represents the difference between reality
and representation of reality. Uncertainty analysis and error propagation modeling reveals
the propagation of input error through output.
Main objective of this thesis is to model the uncertainty and its propagation for
dependent line segments considering positional correlation.
The model is implemented as a plug-in, called Propagated Band Model (PBM)
Plug-in, to a commercial desktop application, GeoKIT Explorer. Implementation of the
model is divided into two parts. In the first one, model is applied to each line segment of
the selected network, separately. In the second one, error in each segment is transmitted
through the line segments from the start node to the end node of the network. Outcomes are
then compared with the results of the G-Band model which is the latest uncertainty model
for vector features. To comment on similarities and differences of the outcomes,
implementation is handled for two different cases. In the first case, users digitize the
selected road network. In the second case recently developed software called Interactive
Drawer (ID) is used to allow user to define a new network and simulate this network
through Monte Carlo Simulation Method. PBM Plug-in is designed to accept the outputs of
these implementation cases as an input, as well as generating and visualizing the
uncertainty bands of the given line network.
Developed implementations and functionality are basically for expressing the
importance and effectiveness of uncertainty handling in vector based geometric features,
especially for line segments which construct a network.
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