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Computing Boolean Statistical Models
Computer Simulation is a very important tool in modern science, playing an intermediate role between theoretical models and experiments. In particular, an important fraction of the human knowledge about critical phenomena and phase transitions is due to computer simulations performed on statistical models. In this text, a class of statistical models that allows parallel processing using conventional hardware is treated using only personal computers. This class of systems is defined on a discrete lattice of points, and every point holds a Boolean variable that can assume only two values, 1 or 0, these can be associated to the logical values true and false respectively. The parallel processing...
Biology, Sociology, Geology by Computational Physicists
The book requires only rudimentary physics knowledge but ability to program computers creatively and to keep the mind open to simple and not so simple models, based in individuals, for the living world around us.* Interdisciplinary coverage* Research oriented* Contains and explains programs* Based on recent discoveries* Little special knowledge required besides programming* Suitable for undergraduate and graduate research projects
Income Distribution Dynamics of Economic Systems
An overview of the distributive dynamics of economic systems in a broad theoretical and empirical sense from the econophysical viewpoint.
Computer Simulation Studies in Condensed-Matter Physics XI
More than a decade ago, because of the phenomenal growth in the power of computer simulations, The University of Georgia formed the first institutional unit devoted to the use of simulations in research and teaching: The Center for Simulational Physics. As the simulations community expanded further, we sensed a need for a meeting place for both experienced simulators and neophytes to discuss new techniques and recent results in an environment which promoted extended discussion. As a consequence, the Center for Simulational Physics established an annual workshop on Recent Developments in Computer Simulation Studies in Condensed Matter Physics. This year's workshop was the eleventh in this ser...
Information-theoretic causal inference of lexical flow
This volume seeks to infer large phylogenetic networks from phonetically encoded lexical data and contribute in this way to the historical study of language varieties. The technical step that enables progress in this case is the use of causal inference algorithms. Sample sets of words from language varieties are preprocessed into automatically inferred cognate sets, and then modeled as information-theoretic variables based on an intuitive measure of cognate overlap. Causal inference is then applied to these variables in order to determine the existence and direction of influence among the varieties. The directed arcs in the resulting graph structures can be interpreted as reflecting the exis...
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