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Books on the topic 'Complexing agents'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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1

Thomas, Russell. The biodegradation of complexing agents used in the nuclear fuel cycle. Birmingham: University of Birmingham, 1997.

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2

Demazeau, Yves, Bo An, Javier Bajo, and Antonio Fernández-Caballero, eds. Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94580-4.

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3

Bajo, Javier, Juan M. Corchado, Elena María Navarro Martínez, Eneko Osaba Icedo, Philippe Mathieu, Patrycja Hoffa-Dąbrowska, Elena del Val, et al., eds. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94779-2.

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4

Poli, Roberto, and Marco Valerio, eds. Anticipation, Agency and Complexity. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03623-2.

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5

A, Barnett William, Deissenberg Christophe, and Feichtinger Gustav 1940-, eds. Economic complexity: Non-linear dynamics, multi-agents economies, and learning. Amsterdam: Elsevier, 2004.

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6

The complexity of cooperation: Agent-based models of competition and collaboration. Princeton, N.J: Princeton University Press, 1997.

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7

North, Michael J. Managing business complexity: Discovering strategic solutions with agent-based modeling and simulation. New York, NY: Oxford University Press, 2006.

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8

1969-, Janssen Marco, ed. Complexity and ecosystem management: The theory and practice of multi-agent systems. Cheltenham, UK: Edward Elgar, 2002.

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9

North, Michael J. Managing business complexity: Discovering strategic solutions with agent-based modeling and simulation. New York: Oxford University Press, 2006.

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10

Batty, Michael. Cities and complexity: Understanding cities with cellular automata, agent-based models, and fractals. Cambridge, Mass: MIT Press, 2005.

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11

Cities and complexity: Understanding cities with cellular automata, agent-based models, and fractals. Cambridge, Mass: MIT Press, 2005.

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12

Perez, Liliana, Eun-Kyeong Kim, and Raja Sengupta, eds. Agent-Based Models and Complexity Science in the Age of Geospatial Big Data. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-65993-0.

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13

The evolution of the built environment: Complexity, human agency and thermal performance. Oxford: Archaeopress, 2009.

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14

Wilkins, Helen. The evolution of the built environment: Complexity, human agency and thermal performance. Oxford: Archaeopress, 2009.

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15

Wilkins, Helen. The evolution of the built environment: Complexity, human agency and thermal performance. Oxford: Archaeopress, 2009.

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16

Sokolova, Marina V. Decision Making in Complex Systems: The DeciMaS Agent-based Interdisciplinary Framework Approach. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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17

Dam, Koen H. Agent-Based Modelling of Socio-Technical Systems. Dordrecht: Springer Netherlands, 2013.

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18

Verlag, Birkhäuser, ed. Reliable and autonomous computational science: International conference, RACS 2010, Atlanta, Ga, USA, October 27-30, 2010. [Basel]: Springer Basel AG, 2011.

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19

Palmirani, Monica, Ugo Pagallo, Pompeu Casanovas, and Giovanni Sartor, eds. AI Approaches to the Complexity of Legal Systems. Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35731-2.

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20

Taylor, Matthew E. Adaptive and Learning Agents: Second Workshop, ALA 2009, Held as Part of the AAMAS 2009 Conference in Budapest, Hungary, May 12, 2009. Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010.

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21

Filipe, Joaquim. Agents and Artificial Intelligence: Third International Conference, ICAART 2011, Rome, Italy, January, 28-30, 2011. Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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22

service), SpringerLink (Online, ed. Social Self-Organization: Agent-Based Simulations and Experiments to Study Emergent Social Behavior. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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23

Matthew, Knudson, Grześ Marek, and SpringerLink (Online service), eds. Adaptive and Learning Agents: International Workshop, ALA 2011, Held at AAMAS 2011, Taipei, Taiwan, May 2, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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24

Sidorova, Elena, and Diana Boboshko. Taxes and taxation: a workshop. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1216379.

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The textbook implements a practice-oriented approach to the educational process. In addition to the tests, the workshop presents tasks of various levels of complexity, tasks for filling out tax returns and documents used in tax legal relations, and complex tasks. It includes 17 topics, including: the tax system, the tax policy of the state; taxpayers, tax payers and tax agents as subjects of tax legal relations; state bodies involved in tax legal relations; accounting and reporting on taxes in tax inspections; tax administration; the system of customs payments in the Russian Federation; state duty. Meets the requirements of the federal state educational standards of secondary vocational education of the latest generation. It is intended for students of secondary vocational education institutions studying in the enlarged group of specialties 38.00.00 "Economics and Management".
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25

Office, National Audit. Department for Work and Pensions: Dealing with the complexity of the benefits system. London: Stationery Office, 2005.

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26

Jordi, Sabater-Mir, Sichman Jaime Simão, and SpringerLink (Online service), eds. Multi-Agent-Based Simulation XII: International Workshop, MABS 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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27

Progress in macrocyclic chemistry.: The design of selective complexing agents. New York: Wiley, 1987.

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28

Drummond, Laurel A. Structural basis for the design of selective complexing agents for transition metals. Unpublished typescript, 1989.

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29

(Editor), James J. Christensen, ed. Synthesis of Macrocycles: The Design of Selective Complexing Agents (Progress in Macrocyclic Chemistry, Vol 3). Wiley-Interscience, 1987.

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30

Rossini, Michael Madio. Investigation of diazacrown ethers as Pbp2+s complexing agents and use of sol-gels as immobilizing matrices. 1997.

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31

Poli, Roberto, and Marco Valerio. Anticipation, Agency and Complexity. Springer, 2019.

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32

Gallegati, Mauro. Recent Developments in Complexity in Economics. Edward Elgar Publishing, 2021. http://dx.doi.org/10.4337/9781788978781.

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This research review identifies fundamental essays on the theory of complexity and its application in economics. The concept of complexity is linked to that of non-linearity, or rather of heterogeneity and interaction between agents. If a system is non-linear it cannot be broken down. When there is interaction, the total is not the sum of single causes, but rather the emergence of new facts. New properties appear that are not already present in the single elements. If the economic system is complex, mainstream economics is in a cul-de-sac where the macroeconomics is different from the microeconomics. The uncertain future and the agent-based models are the main tools for applying the theory of complexity.
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33

Demazeau, Yves, Bo An, Javier Bajo, and Antonio Fernández-Caballero. Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity : The PAAMS Collection: 16th International Conference, PAAMS 2018, ... Springer, 2018.

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34

Axelrod, Robert. Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press, 1997.

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35

Perez, Liliana, Eun-Kyeong Kim, and Raja Sengupta. Agent-Based Models and Complexity Science in the Age of Geospatial Big Data: Selected Papers from a workshop on Agent-Based Models and Complexity ... Springer, 2017.

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36

Perez, Liliana, Eun-Kyeong Kim, and Raja Sengupta. Agent-Based Models and Complexity Science in the Age of Geospatial Big Data: Selected Papers from a workshop on Agent-Based Models and Complexity ... Springer, 2018.

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37

Giroux, Sylvain, Juan M. Corchado, Javier Bajo, Philippe Mathieu, Elena María Navarro Martínez, Eneko Osaba Icedo, Patrycja Hoffa-Dąbrowska, Elena del Val, and Antonio J. M. Castro. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity : The PAAMS Collection: International Workshops of PAAMS 2018, ... in Computer and Information Science). Springer, 2018.

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38

Philip, Agre, and Rosenschein Stanley J, eds. Computational theories of interaction and agency. Cambridge, Mass: MIT Press, 1996.

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39

Moral Agency and the Politics of Responsibility: Challenging Complexity. Taylor & Francis Group, 2017.

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40

(Editor), William A. Barnett, C. Deissenberg (Editor), and G. Feichtinger (Editor), eds. Economic Complexity, Volume 14: Non-linear Dynamics, Multi-agents Economies and Learning (International Symposia in Economic Theory and Econometrics). Elsevier Science, 2004.

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41

North, Michael J., and Charles M. Macal. Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation. Oxford University Press, USA, 2007.

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42

Axelrod, Robert. Complexity of Cooperation : Agent-Based Models of Competition and Collaboration, the: Agent-Based Models of Competition and Collaboration. Princeton University Press, 1997.

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43

Chehab, Monzer, Elias Antypas, Matthias J. Kirsch, and Aradhana M. Venkatesan. Antibiotics. Edited by Bradley B. Pua, Anne M. Covey, and David C. Madoff. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190276249.003.0002.

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Although infectious complications are rare in interventional radiology (IR), their occurrence can have serious consequences. Considerations for antibiotic prophylaxis and selection of an appropriate antibiotic agent and dosing regimen are essential components of the preprocedural evaluation of patients presenting for IR procedures. As the breadth and complexity of patients and procedures expand, it is critical for the interventional radiologist to have a thorough knowledge of the pathogenesis of infection, the rationale behind prophylaxis in specific clinical scenarios, and the appropriate use of antibiotic agents. The goal of this chapter is to provide the trainee with a comprehensive overview of antibiotic prophylaxis for the most commonly performed procedures in interventional radiology.
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44

Henning, C. Randall. Regime Complexity and Main Argument. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198801801.003.0002.

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International regime complexity provides a framework that is useful for analyzing the questions that are addressed in this study. This chapter discusses the origins and development of the regime complexity approach and locates the arguments of the book relative to it and other approaches to the study of international organization and global governance. It defines the concept of a regime complex, reviews some of the shortcomings of the approach, and shows how the analysis of the complex for international finance contributes to the research program on regime complexity. This study is a comparison of institutional interaction in seven structured cases of lending programs, woven through a narrative of the euro crisis. The chapter then previews the main arguments of the book, including that regime complexity stems from states’ efforts to control agency drift and that key states mediate interinstitutional conflict informally.
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45

Batty, Michael. Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals. The MIT Press, 2007.

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46

Epstein, Joshua M. Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity). Princeton University Press, 2007.

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47

Romanowska, Iza. Agent-Based Modeling for Archaeology. SFI Press, 2021. http://dx.doi.org/10.37911/9781947864382.

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To fully understand not only the past, but also the trajectories, of human societies, we need a more dynamic view of human social systems. Agent-based modeling (ABM), which can create fine-scale models of behavior over time and space, may reveal important, general patterns of human activity. Agent-Based Modeling for Archaeology is the first ABM textbook designed for researchers studying the human past. Appropriate for scholars from archaeology, the digital humanities, and other social sciences, this book offers novices and more experienced ABM researchers a modular approach to learning ABM and using it effectively. Readers will find the necessary background, discussion of modeling techniques and traps, references, and algorithms to use ABM in their own work. They will also find engaging examples of how other scholars have applied ABM, ranging from the study of the intercontinental migration pathways of early hominins, to the weather–crop–population cycles of the American Southwest, to the trade networks of Ancient Rome. This textbook provides the foundations needed to simulate the complexity of past human societies, offering researchers a richer understanding of the past—and likely future—of our species.
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48

Cristelli, Matthieu. Complexity in Financial Markets: Modeling Psychological Behavior in Agent-Based Models and Order Book Models. Springer, 2014.

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49

Lukszo, Zofia, Koen H. Dam, and Igor Nikolic. Agent-Based Modelling of Socio-Technical Systems. Springer, 2012.

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50

Literacy and Mobility: Complexity, Uncertainty and Agency at the Nexus of High School and College. Taylor & Francis Group, 2017.

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