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Books on the topic 'NLO Computation'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Bourigault, Didier, Christian Jacquemin, and Marie-Claude L'Homme, eds. Recent Advances in Computational Terminology. John Benjamins Publishing Company, 2001. http://dx.doi.org/10.1075/nlp.2.

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2

International Conference on Natural Language Processing and Knowledge Engineering (2007 Beijing, China). Proceedings of International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE'07) : Aug. 30-Sep. 1, Beijing China. IEEE, 2007.

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3

Gurevych, Iryna. The People’s Web Meets NLP: Collaboratively Constructed Language Resources. Springer Berlin Heidelberg, 2013.

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4

van Dalen-Oskam, Karina. The Riddle of Literary Quality. Amsterdam University Press, 2023. http://dx.doi.org/10.5117/9789048558148.

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What is literature? Can we measure ‘literariness’ in texts themselves? The innovative Computational Humanities project The Riddle of Literary Quality asked thousands of Dutch readers for their opinion about contemporary Dutch and translated novels. The public shared which novels they had read, what they really thought of them, and how they judged their quality. Their judgments of the same novels were compared with the results of computational analysis of the books. Using evidence from almost 14,000 readers and building on more textual data than ever before, Van Dalen-Oskam and her team uncover

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5

Yi, Man-yŏng. Han'guk kŭndae munhak ŭi hyŏngsŏng kwa chinhwaron. Koryŏ Taehakkyo Minjok Munhwa Yŏn'guwŏn, 2021.

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6

Chang, No-hyŏn. Kaehwagi ŭi sŏsa p'unggyŏng: Uri ŭi kŭndae sŏsa nŭn ŏttŏn mosŭp ŭro ch'ulbal hayŏssŭlkka. Yŏngnak, 2019.

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7

Marszalek-Kowalewska, Katarzyna. Persian Computational Linguistics and NLP. de Gruyter GmbH, Walter, 2023.

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8

Numerical and Evolutionary Optimization - NEO 2017. Springer, 2018.

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9

Numerical and Evolutionary Optimization - NEO 2017. Springer, 2018.

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10

Ccssnlp'16: Computational Social Science and NLP. Association for Computing Machinery, 2016.

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11

Schütze, Oliver, Pierrick Legrand, Leonardo Trujillo, and Yazmin Maldonado. NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico. Springer, 2018.

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12

Schütze, Oliver, Pierrick Legrand, Leonardo Trujillo, and Yazmin Maldonado. NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico. Springer, 2016.

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13

Megerdoomian, Karine. Computational Linguistics. Edited by Anousha Sedighi and Pouneh Shabani-Jadidi. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198736745.013.19.

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This chapter introduces the fields of Computational Linguistics (CL)—the computational modelling of linguistic representations and theories—and Natural Language Processing (NLP)—the design and implementation of tools for automated language understanding and production—and discusses some of the existing tensions between the formal approach to linguistics and the current state of the research and development in CL and NLP. The paper goes on to explain the specific challenges faced by CL and NLP for Persian, much of it derived from the intricacies presented by the Perso-Arabic script in automatic

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14

Kedwan, Ftoon. Nlp Application: Natural Language Questions and SQL Using Computational Linguistics. Taylor & Francis Group, 2023.

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15

Hugtenburg, Stefan, and Neil Yorke-Smith. Delftse Foundations of Computation. TU Delft Open, 2018. http://dx.doi.org/10.5074/t.isbn.9789463660839.

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Delftse Foundations of Computation is a textbook for a one quarter introductory course in theoretical computer science. It includes topics from propositional and predicate logic, proof techniques, set theory and the theory of computation, along with practical applications to computer science. It has no prerequisites other than a general familiarity with computer programming.

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16

Humphreys, Paul. Computational Economics. Edited by Don Ross and Harold Kincaid. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780195189254.003.0013.

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Computational economics is a relatively new research technique in economics, but it is inexorably taking its place alongside the more traditional methods of general theory, abstract modeling, data analysis, and the more recent experimental economics. Perhaps because of its relative newness, the term computational economics currently has no determinate meaning. In contemporary use, it refers to a heterogeneous cluster of techniques implemented on concrete digital computers ranging from the numerical solution of the Black-Scholes partial differential equation for pricing options through automate

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17

Bos, Joppe, and Martijn Stam, eds. Computational Cryptography. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781108854207.

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The area of computational cryptography is dedicated to the development of effective methods in algorithmic number theory that improve implementation of cryptosystems or further their cryptanalysis. This book is a tribute to Arjen K. Lenstra, one of the key contributors to the field, on the occasion of his 65th birthday, covering his best-known scientific achievements in the field. Students and security engineers will appreciate this no-nonsense introduction to the hard mathematical problems used in cryptography and on which cybersecurity is built, as well as the overview of recent advances on

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18

Przepiórkowski, Adam, and Maciej Ogrodniczuk. Advances in Natural Language Processing: 9th International Conference on NLP, PolTAL 2014, Warsaw, Poland, September 17-19, 2014. Proceedings. Springer, 2014.

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19

Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS). Association for Computational Linguistics, 2022.

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20

Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2024). Association for Computational Linguistics, 2024.

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21

Kedwan, Ftoon. NLP Application Through a Rule-Based Mapping Algorithm Between Natural Language Questions and SQL Using Computational Linguistics. CRC Press LLC, 2023.

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22

International Conference on Natural Lang. Proceedings of 2005 International Conference on Natural Language Processing and Knowledge Engineering (IEEE Nlp-Ke'05), Oct.30--Nov. 1, 2005, Wuhan, C. Institute of Electrical & Electronics Enginee, 2005.

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23

Fehr, Hans, and Fabian Kindermann. Introduction to Computational Economics Using Fortran. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198804390.001.0001.

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Introduction to Computational Economics Using Fortran is the essential guide to conducting economic research on a computer. Aimed at students of all levels of education as well as advanced economic researchers, it facilitates the first steps into writing programs using Fortran. Introduction to Computational Economics Using Fortran assumes no prior experience as it introduces the reader to this programming language. It shows the reader how to apply the most important numerical methods conducted by computational economists using the toolbox that accompanies this text. It offers various examples

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24

Gurevych, Iryna, Jungi Kim, and Nicoletta Calzolari. The People’s Web Meets NLP: Collaboratively Constructed Language Resources. Springer, 2015.

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25

Nerbonne, John. Natural Language Processing in Computer-Assisted Language Learning. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0037.

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This article examines the application of natural language processing to computer-assisted language learning (CALL) including the history of work in this field over the last thirtyfive years and focuses on current developments and opportunities. It always refers to programs designed to help people learn foreign languages. CALL is a large field — much larger than computational linguistics. This article outlines the areas of CALL to which computational linguistics (CL) can be applied. CL programs process natural languages such as English and Spanish, and the techniques are therefore often referre

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26

Dobson, James E. Critical Digital Humanities. University of Illinois Press, 2019. http://dx.doi.org/10.5622/illinois/9780252042270.001.0001.

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This book seeks to develop an answer to the major question arising from the adoption of sophisticated data-science approaches within humanities research: are existing humanities methods compatible with computational thinking? Data-based and algorithmically powered methods present both new opportunities and new complications for humanists. This book takes as its founding assumption that the exploration and investigation of texts and data with sophisticated computational tools can serve the interpretative goals of humanists. At the same time, it assumes that these approaches cannot and will not

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27

Lobina, David J. The derivations into the interfaces. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785156.003.0004.

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The structure of a given linguistic expression and the structure of the derivation that generates such an expression are two very different things; hence, they need not bear an isomorphic relationship. This chapter shows that the derivations of linguistic expressions are not recursive in the sense of computer science: there are no self-calls, and thus no deferred operations. Instead, the combination of merge, interface conditions, lexical items, and general computational properties brings about an iterative process, even if every stage of a derivation is recursively generated, keeping to the s

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28

Gallistel, C. Randy. The Neurobiological Bases for the Computational Theory of Mind. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190464783.003.0013.

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The language of thought hypothesis is one of Fodor’s seminal contributions to cognitive science. Prominent among the objections to it has been the argument that there is no neurobiological evidence for materially realized symbols in the brain. If memory is materially realized by enduring alterations in synaptic conductances, then this is true, because the synaptic-conductance hypothesis is simply the ancient associative learning hypothesis couched in neurobiological language. Associations are not symbols and cannot readily be made to function as such, thus neurobiologists are unable to say how

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29

NLTK Essentials: Build cool NLP and machine learning applications using NLTK and other Python libraries. Packt Publishing, 2015.

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30

Thornton, Rosalind. Acquisition of Questions. Edited by Jeffrey L. Lidz, William Snyder, and Joe Pater. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199601264.013.14.

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The last 40 years of research on the acquisition of questions within the generative framework is reviewed, starting with Brown’s (1968) predictions for the form of wh-questions in English. Evidence from children’s answers to questions is taken to support children have access to the syntactic computation required for question formation. This leads to an examination of children’s non-adult productions; questions with no I to C movement, why-questions, whose-questions as well as long-distance questions with wh-copying and questions with partial movement. We also review evidence from English and o

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31

Laver, Michael, and Ernest Sergenti. Spatial Dynamics of Political Competition. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0002.

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This chapter sets up the core problem of the present volume. To demonstrate that this problem is analytically intractable, it uses results from a subfield of geometry that deals with “Voronoi tessellations” (or tilings) that has powerful applications in many disciplines. Largely unnoticed by political scientists, this work addresses a problem of “competitive spatial location” that is directly analogous to the problem of dynamic competition between a set of political parties competing with each other by offering rival policy programs. One result from this field is that the problem of competitiv

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32

Bateman, John, and Michael Zock. Natural Language Generation. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0015.

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Communication via a natural language requires two fundamental skills, producing text and understanding it. This article introduces the field of computational approaches to the former-natural language generation (NLG) showing some of the theoretical and practical problems that linguists, computer scientists, and psychologists have encountered when trying to explain how language works in machines or in their minds. The corresponding task of NLG spans a wide spectrum: ranging from planning some action to executing it. Providing architectures in which all of these decisions can be made to coexist,

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33

Laver, Michael, and Ernest Sergenti. In Conclusion. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0012.

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This concluding chapter summarizes key themes and presents some final thoughts. This book started with the twin premises that understanding multiparty competition is a core concern for everyone interested in representative democracy and that multiparty competition should be understood as an evolving dynamic system, not a stationary state. Given these premises, it investigated the dynamics of multiparty competition using computational agent-based modeling, a new technology that is ideally suited to providing systematic answers to the types of question we want to ask. This allows the modeling of

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34

Stefan, Vogenauer. Ch.1 General Provisions, General Provisions III: Arts 1.6–1.12—Application of the PICC, Art.1.12. Oxford University Press, 2015. http://dx.doi.org/10.1093/law/9780198702627.003.0016.

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This commentary focuses on Article 1.12 of the UNIDROIT Principles of International Commercial Contracts (PICC) concerning holidays and time zones and their effect on periods of time set by the parties. Official holidays and non-business days are included in the computation of periods and have no effect on the duration of the period according to Art 1.12(1), unless the parties agree otherwise, such as by referring specifically to ‘working days’. Holidays and non-business days, however, become relevant if the last day of the period falls on such a day. The determination of the applicable time z

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35

Crespo Miguel, Mario. Automatic corpus-based translation of a spanish framenet medical glossary. 2020th ed. Editorial Universidad de Sevilla, 2020. http://dx.doi.org/10.12795/9788447230051.

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Computational linguistics is the scientific study of language from a computational perspective. It aims is to provide computational models of natural language processing (NLP) and incorporate them into practical applications such as speech synthesis, speech recognition, automatic translation and many others where automatic processing of language is required. The use of good linguistic resources is crucial for the development of computational linguistics systems. Real world applications need resources which systematize the way linguistic information is structured in a certain language. There is

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36

Advances in Natural Language Processing: 9th International Conference on NLP, PolTAL 2014, Warsaw, Poland, September 17-19, 2014. Proceedings. Springer, 2014.

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37

Isahara, Hitoshi, and Kyoko Kanzaki. Advances in Natural Language Processing: 8th International Conference on NLP, JapTAL 2012, Kanazawa, Japan, October 22-24, 2012, Proceedings. Springer, 2012.

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38

Gershman, Samuel. What Makes Us Smart. Princeton University Press, 2021. http://dx.doi.org/10.23943/princeton/9780691205717.001.0001.

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At the heart of human intelligence rests a fundamental puzzle: How are we incredibly smart and stupid at the same time? No existing machine can match the power and flexibility of human perception, language, and reasoning. Yet, we routinely commit errors that reveal the failures of our thought processes. This book makes sense of this paradox by arguing that our cognitive errors are not haphazard. Rather, they are the inevitable consequences of a brain optimized for efficient inference and decision making within the constraints of time, energy, and memory—in other words, data and resource limita

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39

Abramsky, S., Dov M. Gabbay, and T. S. E. Maibaum, eds. Handbook of Logic in Computer Science: Volume 5. Algebraic and Logical Structures. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780198537816.001.0001.

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Logic is now widely recognized as one of the foundational disciplines of computing, and its applications reach almost every aspect of the subject, from software engineering and hardware to programming languages and AI. The Handbook of Logic in Computer Science is a multi-volume work covering all the major areas of application of logic to theoretical computer science. The handbook comprises six volumes, each containing five or six chapters giving an in-depth overview of one of the major topics in field. It is the result of many years of cooperative effort by some of the most eminent frontline r

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40

Zhao, Jun, Yang Liu, and Maosong Sun. Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data: 13th China National Conference, CCL 2014, and First International Symposium, NLP-NABD 2014, Wuhan, China, October 18-19, 2014. Proceedings. Springer, 2014.

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41

Zhang, Min, Zhiyuan Liu, Yang Liu, and Maosong Sun. Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data: 14th China National Conference, CCL 2015 and Third International Symposium, NLP-NABD 2015, Guangzhou, China, November 13-14, 2015, Proceedings. Springer, 2015.

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42

Zhang, Min, Haifeng Wang, Maosong Sun, and Dekang Lin. Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data: 12th China National Conference, CCL 2013 and First International Symposium, NLP-NABD 2013, Suzhou, China, October 10-12, 2013, Proceedings. Springer, 2013.

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43

Liu, Zhiyuan, Yang Liu, Maosong Sun, Hongfei Lin, and Xuanjing Huang. Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data: 15th China National Conference, CCL 2016, and 4th International Symposium, NLP-NABD 2016, Yantai, China, October 15-16, 2016, Proceedings. Springer, 2016.

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44

Stanford, James N. New England English. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190625658.001.0001.

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For nearly 400 years, New England has held an important place in the development of American English, and “New England accents” are very well known in popular imagination. But since the 1930s, no large-scale academic book project has focused specifically on New England English. While other research projects have studied dialect features in various regions of New England, this is the first large-scale scholarly project to focus solely on New England English since the Linguistic Atlas of New England. This book presents new research covering all six New England states, with detailed geographic, p

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45

Shaikh, Mohd Faraz. Machine Learning in Detecting Auditory Sequences in Magnetoencephalography Data : Research Project in Computational Modelling and Simulation. Technische Universität Dresden, 2021. http://dx.doi.org/10.25368/2022.411.

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Does your brain replay your recent life experiences while you are resting? An open question in neuroscience is which events does our brain replay and is there any correlation between the replay and duration of the event? In this study I tried to investigate this question by using Magnetoencephalography data from an active listening experiment. Magnetoencephalography (MEG) is a non-invasive neuroimaging technique used to study the brain activity and understand brain dynamics in perception and cognitive tasks particularly in the fields of speech and hearing. It records the magnetic field generat

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46

Succi, Sauro. Lattice Boltzmann Models for Microflows. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0029.

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The Lattice Boltzmann method was originally devised as a computational alternative for the simulation of macroscopic flows, as described by the Navier–Stokes equations of continuum mechanics. In many respects, this still is the main place where it belongs today. Yet, in the past decade, LB has made proof of a largely unanticipated versatility across a broad spectrum of scales, from fully developed turbulence, to microfluidics, all the way down to nanoscale flows. Even though no systematic analogue of the Chapman–Enskog asymptotics is available in this beyond-hydro region (no guarantee), the fa

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47

Peacocke, Christopher. The Primacy of Metaphysics. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198835578.001.0001.

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Is the metaphysics of a domain prior in the order of philosophical explanation to a theory of intentional contents and meanings about that domain? Or is the opposite true? This book argues from the nature of meaning and intentional content to the conclusion that content and meaning are never prior to the metaphysics. For every domain, either a metaphysics-first view or a no-priority view is correct. Metaphysics-first views are developed for several specific domains. For extensive magnitudes, a new realistic metaphysics is developed, and this metaphysics is used to explain features of the perce

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48

Rothman, Kenneth J., Krista F. Huybrechts, and Eleanor J. Murray. Epidemiology. 3rd ed. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/oso/9780197751541.001.0001.

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Abstract This book gives an overview of the concepts that form the underpinnings of epidemiology and epidemiologic research. The aim is to create a coherent fabric of epidemiologic thinking for the reader. The emphasis is not on statistics, formulas, or computation, but on the underlying epidemiologic principles and concepts. This core content is supplemented with historical notes, a discussion of scientific inference, details about infectious disease epidemiology, and some advanced topics that serve as an on-ramp into further study for those who elect to pursue it. The overall organization is

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49

Shapiro, Lawrence A. Embodied Cognition. Edited by Eric Margolis, Richard Samuels, and Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0006.

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The article explains the history, core concepts, methodological practices, and future prospects of embodied cognition. Cognitivism treats cognition, including perception, as a constructive process in which computational operations transform a static representation into a goal state. Cognition begins with an input representation so that the psychological subject can be conceived as a passive receptor of information. The cognitivist's primary concern is the discovery of algorithms by which inputs such as those representing shading are transformed into outputs such as those representing shape. Th

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50

White, Benjamin L. Counting Paul. Oxford University PressNew York, NY, 2025. https://doi.org/10.1093/9780197802274.001.0001.

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Abstract This book argues that there is no mathematical solution to the question of the authorship of the Pauline Epistles in the New Testament. For more than two hundred years, linguistic features of the Pauline Epistles have been counted, averaged, and compared. The book shows that, by measuring one text against another, scholars have thought that the authentic Pauline stylome would emerge as the incontrovertible standard for uncovering canonical forgeries in the Apostle’s name. It describes how the analysis of authorial style took on increasing argumentative weight as a way out of the many

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