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Relevant bibliographies by topics / Causal fields

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Academic literature on the topic 'Causal fields'

Author: Grafiati

Published: 4 May 2024

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Books on the topic "Causal fields"

1

Finite quantum electrodynamics: The causal approach. 2nd ed. Springer, 1995.

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2

Continuing la causa: Organizing labor in California's strawberry fields. FirstForumPress, A Division of Lynne Rienner Publishers, Inc., 2013.

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3

Baumgärtel, Hellmut. Causal nets of operator algebras: Mathematical aspects of algebraic quantum field theory. Akademie Verlag, 1992.

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4

Death scenes: An investigator's field guide. CRC Press, 2012.

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5

Mazo, Aleksandr, and Konstantin Potashev. The superelements. Modeling of oil fields development. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043236.

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This monograph presents the basics of super-element modeling method of two-phase fluid flows occurring during the development of oil reservoir. The simulation is performed in two stages to reduce the spatial and temporal scales of the studied processes. In the first stage of modeling of development of oil deposits built long-term (for decades) the model of the global dynamics of the flooding on the super-element computational grid with a step equal to the average distance between wells (200-500 m). Local filtration flow, caused by the action of geological and technical methods of stimulation, are modeled in the second stage using a special mathematical models using computational grids with high resolution detail for the space of from 0.1 to 10 m and time — from 102 to 105 C. The results of application of the presented models to the solution of practical tasks of development of oil reservoir. Special attention is paid to the issue of value transfer in filtration-capacitive properties of the reservoir, with a detailed grid of the geological model on the larger grid reservoir models. Designed for professionals in the field of mathematical and numerical modeling of fluid flows occurring during the development of oil fields and using traditional commercial software packages, as well as developing their own software. May be of interest to undergraduate and graduate students studying in areas such as "Mechanics and mathematical modeling", "Applied mathematics", "Oil and gas".

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Death scene investigations: A field guide. Taylor & Francis, 2008.

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7

Lipich, Tamara, and Eduard Lykov. Analysis of police practices in the field of combating crime. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1913533.

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The monograph is an original work devoted to the philosophical and legal analysis of police practices within the boundaries of European culture, as well as the analysis of police practices in the field of youth crime. This topic is especially relevant in connection with the ongoing discussions in society on such problems as the problems of power and force, the use of violence. The authors identify the cultural and historical identification of the phenomenon of the police, give a philosophical and anthropological analysis of the specifics of police practices in European culture against the background of law enforcement by the police. The phenomenon of sovereignty and the correlation of police and political is analyzed, which is especially important in modern conditions. The analysis of police practices in the field of youth crime is carried out, where the causes and features of youth crime and juvenile delinquency are identified. Of particular interest is the analysis of prevention and ways of countering juvenile delinquency and youth crime. For students, postgraduates and teachers of law schools and faculties, as well as a wide range of readers interested in combating crime.

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8

Hitchcock, Christopher. Causal Modelling. Edited by Helen Beebee, Christopher Hitchcock, and Peter Menzies. Oxford University Press, 2010. http://dx.doi.org/10.1093/oxfordhb/9780199279739.003.0015.

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‘Causal modelling’ is a general term that applies to a wide variety of formal methods for representing, and facilitating inferences about, causal relationships. The end of the twentieth century saw an explosion of work on causal modelling, with contributions from such fields as statistics, computer science, and philosophy; as well as from more subject-specific disciplines such as econometrics and epidemiology. This article focuses on two programmes that have attracted considerable philosophical attention, one due to the computer scientist Judea Pearl and his collaborators, and the other to the philosophers Peter Spirtes, Clark Glymour, and Richard Scheines. It offers a much simplified presentation of causal models that emphasizes various points of philosophical interest.

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9

Waldmann, Michael R., ed. The Oxford Handbook of Causal Reasoning. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.001.0001.

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Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. In the past decades, the important role of causal knowledge has been discovered in many areas of cognitive psychology. Despite the ubiquity of causal reasoning, textbooks of cognitive psychology have neglected this growing field. The goal of The Oxford Handbook of Causal Reasoning is to fill this gap. The handbook brings together the leading researchers in the field of causal reasoning and offers state-of-the-art presentations of theories and research. It provides introductions of competing theories of causal reasoning, and discusses its role in various cognitive functions and domains. The final section presents research from neighboring fields.

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10

Hoefer, Carl. Causation in Spacetime Theories. Edited by Helen Beebee, Christopher Hitchcock, and Peter Menzies. Oxford University Press, 2010. http://dx.doi.org/10.1093/oxfordhb/9780199279739.003.0035.

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Although Russell maintained that causation was not to be found in advanced physical theories (which is described in this article), even he would have admitted that, if one must talk of cause–effect relations between events, then spacetime theories may well place constraints on what sorts of causal relations may exist and how they may be arranged in time. They may also imply the possibility of surprising and unexpected causal relations, and even serious causal anomalies. This article looks at what the three most important spacetime theories imply about causation. It starts with a brief look at Newtonian physics, looks at how important changes are introduced by Special Relativity theory, and finally turns to the rich causal fields of General Relativity models.

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