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Published: 14 March 2023

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1

Awcock, M. J. A system dynamics model for communications networks. [Malvern, Worcs.]: Royal Signals & Radar Establishment, 1985.

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2

Group model building: Facilitating team learning using system dynamics. Chichester: J. Wiley, 1996.

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3

Sitompul, Rislima F. Merancang model pengembangan masyarakat pedesaan dengan pendekatan system dynamics. Jakarta: Lembaga Ilmu Pengetahuan Indonesia, 2009.

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4

Jones, G. N. Identification of system dynamics of a high incidence research model. Sheffield: University of Sheffield, Dept. of Control Engineering, 1990.

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5

David, Hampton Roy, and George C. Marshall Space Flight Center., eds. A " Kane's Dynamics" model for the active rack isolation system. Marshall Space Flight Center, Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 2001.

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6

Rocşoreanu, C. The FitzHugh-Nagumo model: Bifurcation and dynamics. Dordrecht: Kluwer Academic Publishers, 2000.

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7

Grancharova, Alexandra. Explicit Nonlinear Model Predictive Control: Theory and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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8

Antonio, Palacios, Schweitzer Frank, Kacprzyk Janusz, Sornette Didier 1957-, Érdi Péter, Schuster Peter, Reichl L. E, et al., eds. Applications of Nonlinear Dynamics: Model and Design of Complex Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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9

A, Mulac Richard, Celestina Mark L, and Lewis Research Center, eds. A model for closing the inviscid form of the average-passage equation system. [Cleveland, Ohio: National Aeronautics and Space Administration, Lewis Research Center, 1986.

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10

Merten, Peter P. Know-how transfer by multinational corporations to developing countries: A system dynamics model with spiral loops. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1986.

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11

Tulenko, Edward. The design and development of a Gaming interface for the System Dynamics Model of Software Project Management. Monterey, Calif: Naval Postgraduate School, 1989.

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12

P. Th. L. M. van Woerkom. Dynamics of flexible spacecraft: An analysis of approaches toward mathematical model order reduction. Amsterdam: National Aerospace Laboratory, 1985.

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13

P. Th. L. M. van Woerkom. Dynamics of flexible spacecraft: The internal balancing approach towards mathematical model order reduction. Amsterdam: National Aerospace Laboratory, 1985.

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14

1966-, Caponetto R., Fortuna L. 1953-, and Frasca Mattia, eds. Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems. Singapore: World Scientific, 2008.

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15

Swindell, Daniel W. Design and development of a user interface and user manual for a System Dynamics Model of Software Management. Monterey, Calif: Naval Postgraduate School, 1989.

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16

Simmermacher, Todd. Topics in Model Validation and Uncertainty Quantification, Volume 5: Proceedings of the 31st IMAC, A Conference on Structural Dynamics, 2013. New York, NY: Springer New York, 2013.

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17

Simmermacher, T. Topics in Model Validation and Uncertainty Quantification, Volume 4: Proceedings of the 30th IMAC, A Conference on Structural Dynamics, 2012. New York, NY: Springer New York, 2012.

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18

F, Walker James, Trefny Charles J, and NASA Glenn Research Center, eds. Parametric studies of the ejector process within a turbine-based combined-cycle propulsion system. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 1999.

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19

Barbera, Filippo, Roberto Paladini, and Marco Vedovato. Venice Original E-commerce dell’artigianato artistico e tradizionale veneziano. Venice: Fondazione Università Ca’ Foscari, 2022. http://dx.doi.org/10.30687/978-88-6969-615-2.

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In the last few years, many researchers have highlighted the economic and cultural impact that crafts have on the development of territories, enhancing local identities and traditions. Various researches also point to the close relationship between trade (sometimes called ‘neighbourhood’ trade), crafts and historic centres, in terms of quality of life, and socio-economic and identity development of territories, showing their new centrality to processes of urban development and regeneration and the formation of social capital. It is evident how enterprise contributes to local development through social interactions based on negotiated and open collaborations between microenterprises, community and network. It was well argued how small business (commerce, crafts and neighbourhood stores) has always played an important role as a social garrison in sparsely populated areas, allowing cities and particularly urban centres to become more lively or livable, being able to give or take away quality from the city and the territory, attributing peculiarity, security and specificity to places or trivialising them in a homogenised landscape. Among the services of social utility recognised to the artisan workshop are: the guarantee of services useful to the livability of the place, the garrisoning of territories and the development of social relations, the promotion of local identity and its know-how, and the creation of employment opportunities through modest initial availability of capital. At the same time, the worsening recessionary dynamics that have occurred in the global economy over the past two decades and the disruptive digital transition have exposed such enterprises to increasing difficulties, disruptively accentuating the decline in competitiveness and propensity to innovate of a large proportion of craft SMEs, of which the socioeconomic literature does not see significant adaptations to the changed environment, such as reconfiguring the business model, adopting a totally new strategic plan adapting to the digital transition, generational transition, and adopting innovative organisational or system behaviours. This volume presents the Venice Original E-Commerce case – a project carried out by the Venice Metropolitan CNA thanks to the support of J.P. Morgan, the support of the Venice Rovigo Chamber of Commerce and the sponsorship of the City of Venice and Ca’ Foscari University of Venice – as a reference project intervention to focus on a possible model of intervention to support culturally-valued artisan micro-enterprises, intervening on the process of strategic renewal and the conditions to foster generational turnover, understood as an opportunity to fill the gap on the digitisation of the artisan sector.
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20

Vennix, Jac. Group Model Building: Facilitating Team Learning Using System Dynamics. Wiley & Sons, Incorporated, John, 2000.

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21

Helfrich, Nicki Daniel. Sectoral Endogenous Growth by Education in a System Dynamics Model. Fraunhofer IRB Verlag, 2011.

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22

Sewell, Janet M. An experimental flow model of a centifugal casting system. 1989.

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23

Sewell, Janet M. An experimental flow model of a centifugal casting system. 1989.

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24

Estimating C-17 Operating and Support Costs: Development of a System Dynamics Model. Storming Media, 2001.

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25

A System Dynamics model of the Bioavailability of Metals in Constructed Wetland Sediment. Storming Media, 1997.

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26

Schmid, Hans-Jörg. The Dynamics of the Linguistic System. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198814771.001.0001.

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This book develops a model of language which can be characterized as functionalist, usage-based, dynamic, and complex-adaptive. Its core idea is that linguistic structure is not stable and uniform, but continually refreshed and in fact reconstituted by the feedback-loop interaction of three components: usage, i.e. the interpersonal and cognitive activities of speakers in concrete communication; conventionalization, i.e. the social processes taking place in speech communities; and entrenchment, i.e. the cognitive processes taking place in the minds of individual speakers. Extending the so-called Entrenchment-and-Conventionalization Model, the book shows that what we call the Linguistic System is created, sustained, and continually adapted by the ongoing interaction between usage, conventionalization, and entrenchment. The model contributes to closing the gap in usage-based models concerning how exactly usage is transformed into collective and individual grammar and how these two grammars in turn feed back into usage. The book exploits and extends insights from an exceptionally wide range of fields, including usage-based cognitive linguistics, psycholinguistics, interactional linguistics and pragmatics, historical linguistics, sociolinguistics and the sociology and philosophy of language, as well as quantitative corpus linguistics. It makes numerous original suggestions about, among other things, how cognitive processing and representation are related and about the manifold ways in which individuals and communities contribute to shaping language and bringing about language variation and change. It presents a coherent account of the role of forces that are known to affect language structure, variation, and change, e.g. economy, efficiency, extravagance, embodiment, identity, social order, prestige, mobility, multilingualism, and language contact.
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27

Merten, Peter P. Know-How Transfer by Multinational Corporations to Developing Countries: A System Dynamics Model with Spiral Loops. Creative Media Partners, LLC, 2018.

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28

Merten, Peter P. Know-How Transfer by Multinational Corporations to Developing Countries: A System Dynamics Model with Spiral Loops. Creative Media Partners, LLC, 2018.

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29

Merten, Peter P. Know-How Transfer by Multinational Corporations to Developing Countries: A System Dynamics Model with Spiral Loops. Franklin Classics Trade Press, 2018.

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30

(Editor), Alexander N. Gorban, Nikolas K. Kazantzis (Editor), I. G. Kevrekidis (Editor), Hans C. Öttinger (Editor), and Constantinos Theodoropoulos (Editor), eds. Model Reduction and Coarse-Graining Approaches for Multiscale Phenomena. Springer, 2006.

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31

Georgescu, A., C. Rocsoreanu, and N. Giurgiteanu. The FitzHugh-Nagumo Model - Bifurcation and Dynamics (MATHEMATICAL MODELLING: THEORY AND APPLICATIONS Volume 10). Springer, 2000.

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32

Simmermacher, Todd, Scott Cogan, and Babak Moaveni. Topics in Model Validation and Uncertainty Quantification, Volume 5: Proceedings of the 31st IMAC, A Conference on Structural Dynamics, 2013. Springer, 2013.

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33

Simmermacher, Todd, Scott Cogan, Babak Moaveni, and Costas Papadimitriou. Topics in Model Validation and Uncertainty Quantification, Volume 5: Proceedings of the 31st IMAC, A Conference on Structural Dynamics, 2013 ... Society for Experimental Mechanics Series). Springer, 2015.

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34

Simmermacher, Todd, Scott Cogan, Babak Moaveni, and Costas Papadimitriou. Topics in Model Validation and Uncertainty Quantification, Volume 5: Proceedings of the 31st IMAC, A Conference on Structural Dynamics, 2013 ... Society for Experimental Mechanics Series). Springer, 2013.

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35

Baer, Madeline. Global Dynamics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190693152.003.0003.

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Chapter 3 explores how global actors promote the human right to water and sanitation at the global level, the venues in which they carry out their campaigns, and the resistance they face to redefining water and sanitation as human rights. The chapter analyzes how the water justice movement works to build political will for the human right to water and sanitation in the first stage in the “moments of social transformation” model, when abstract norms become accepted as held beliefs. The analysis focuses on three venues where activists advocate for the human right to water and sanitation: the United Nations General Assembly, the Human Rights Council, and the World Water Forum. The chapter explores the mechanisms at play in these campaigns, revealing a highly contested process pitting rights promoters against powerful adversaries in the global system, including representatives from the United States, the United Kingdom, and Canada.
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36

Simmermacher, T., Scott Cogan, L. G. Horta, and R. Barthorpe. Topics in Model Validation and Uncertainty Quantification, Volume 4: Proceedings of the 30th IMAC, A Conference on Structural Dynamics, 2012 ... Society for Experimental Mechanics Series). Springer, 2014.

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37

Laver, Michael, and Ernest Sergenti. The Evolutionary Dynamics of Decision Rule Selection. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0008.

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This chapter extends the survival-of-the-fittest evolutionary environment to consider the possibility that new political parties, when they first come into existence, do not pick decision rules at random but instead choose rules that have a track record of past success. This is done by adding replicator-mutator dynamics to the model, according to which the probability that each rule is selected by a new party is an evolving but noisy function of that rule's past performance. Estimating characteristic outputs when this type of positive feedback enters the dynamic model creates new methodological challenges. The simulation results show that it is very rare for one decision rule to drive out all others over the long run. While the diversity of decision rules used by party leaders is drastically reduced with such positive feedback in the party system, and while some particular decision rule is typically prominent over a certain period of time, party systems in which party leaders use different decision rules are sustained over substantial periods.
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38

Goswami, B. N., and Soumi Chakravorty. Dynamics of the Indian Summer Monsoon Climate. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.613.

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Lifeline for about one-sixth of the world’s population in the subcontinent, the Indian summer monsoon (ISM) is an integral part of the annual cycle of the winds (reversal of winds with seasons), coupled with a strong annual cycle of precipitation (wet summer and dry winter). For over a century, high socioeconomic impacts of ISM rainfall (ISMR) in the region have driven scientists to attempt to predict the year-to-year variations of ISM rainfall. A remarkably stable phenomenon, making its appearance every year without fail, the ISM climate exhibits a rather small year-to-year variation (the standard deviation of the seasonal mean being 10% of the long-term mean), but it has proven to be an extremely challenging system to predict. Even the most skillful, sophisticated models are barely useful with skill significantly below the potential limit on predictability. Understanding what drives the mean ISM climate and its variability on different timescales is, therefore, critical to advancing skills in predicting the monsoon. A conceptual ISM model helps explain what maintains not only the mean ISM but also its variability on interannual and longer timescales.The annual ISM precipitation cycle can be described as a manifestation of the seasonal migration of the intertropical convergence zone (ITCZ) or the zonally oriented cloud (rain) band characterized by a sudden “onset.” The other important feature of ISM is the deep overturning meridional (regional Hadley circulation) that is associated with it, driven primarily by the latent heat release associated with the ISM (ITCZ) precipitation. The dynamics of the monsoon climate, therefore, is an extension of the dynamics of the ITCZ. The classical land–sea surface temperature gradient model of ISM may explain the seasonal reversal of the surface winds, but it fails to explain the onset and the deep vertical structure of the ISM circulation. While the surface temperature over land cools after the onset, reversing the north–south surface temperature gradient and making it inadequate to sustain the monsoon after onset, it is the tropospheric temperature gradient that becomes positive at the time of onset and remains strongly positive thereafter, maintaining the monsoon. The change in sign of the tropospheric temperature (TT) gradient is dynamically responsible for a symmetric instability, leading to the onset and subsequent northward progression of the ITCZ. The unified ISM model in terms of the TT gradient provides a platform to understand the drivers of ISM variability by identifying processes that affect TT in the north and the south and influence the gradient.The predictability of the seasonal mean ISM is limited by interactions of the annual cycle and higher frequency monsoon variability within the season. The monsoon intraseasonal oscillation (MISO) has a seminal role in influencing the seasonal mean and its interannual variability. While ISM climate on long timescales (e.g., multimillennium) largely follows the solar forcing, on shorter timescales the ISM variability is governed by the internal dynamics arising from ocean–atmosphere–land interactions, regional as well as remote, together with teleconnections with other climate modes. Also important is the role of anthropogenic forcing, such as the greenhouse gases and aerosols versus the natural multidecadal variability in the context of the recent six-decade long decreasing trend of ISM rainfall.
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39

Sapiri, Hasimah, Jafri Zulkepli Hew, Norazura Ahmad, Norhaslinda Zainal Abidin, and Nurul Nazihah Hawari. Introduction to system dynamic modelling and vensim software. UUM Press, 2017. http://dx.doi.org/10.32890/9789672064084.

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System dynamics simulation modelling technique is taught to students at undergraduate and graduate levels.The students are taught how to develop a system dynamics model of the system under study. This book is written to help students understand the concepts and fundamental elements of system dynamics simulation, and provide a step-by-step guide in conducting a system dynamics study. This book is suitable for students who are studying system dynamics simulation modelling at undergraduate and graduate levels.It offers the concepts and application of system dynamics as well as provides an approach for modelling effectively.Having read this book, the reader will be able to: Learn the concept of system dynamics simulation and its application, Understand the important steps of modelling process, andConduct a system dynamics study successfully.
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40

Hertz, Jana C., Primatia Romana Wulandari, and Budiati Prasetiamartati. Knowledge System Development: Insights From Indonesia and International Applications. RTI Press, 2022. http://dx.doi.org/10.3768/rtipress.2022.bk.0026.2209.

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Knowledge System Development: Insights from Indonesia and International Applications illustrates how knowledge systems work in the evidence-based policy making process and the dynamics of different actors in the ecosystem. Applying the Knowledge System Model 2.0 in Indonesia and in selected international case studies, it explores key issues and dynamics in the knowledge-to-policy process in Indonesia and offers important insights for application in other country contexts. Written from the unique vantage point of knowledge system actors themselves in cooperation with development practitioners and researchers, the book captures efforts to clarify the roles of different actors in the knowledge system and how they interacted to influence policy. When the actors and institutions in the knowledge system interact and challenge each other to articulate and commit to a shared purpose, it is easier to navigate the inherent tensions between technical solutions and political objectives to advance the reform agenda. Intermediaries in the knowledge system can play an important role in facilitating the interactions between these actors and institutions.
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41

Boydstun, Amber E., and Annelise Russell. From Crisis to Stasis: Media Dynamics and Issue Attention in the News. Oxford University Press, 2016. http://dx.doi.org/10.1093/acrefore/9780190228637.013.56.

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Media coverage does not ebb and flow. Rather, media coverage rapidly moves from crisis to stasis and back again. The result of these attention dynamics is news reporting that is disproportional to the breadth and pace of policy problems in the world, where some balloon in the news beyond expectations and others fade quickly (or never make the news at all). These patterns of news coverage result from the powerful role that momentum plays in the news-generation process. Forces of positive feedback drive news outlets to chase each new hot story quickly, while negative feedback forces drive news outlets to stay locked onto a hot story at hand. Together, these forces drive news coverage to lurch and fixate, lurch and fixate, again and again. Thus, although previous research has conceived of the news-generation process functioning either as a “patrol” system (where news outlets act as sentinels, tracking each policy problem as it unfolds in the world) or as an “alarm” system (where news outlets move in quick bursts from one policy problem to the next, with little to no in-depth coverage), both these previous models tell only half the story. Rather, the news-generation process is best understood through the alarm/patrol hybrid model, where news outlets often lurch from one hot item to the next but sometimes become entrenched in an unfolding storyline. The alarm/patrol hybrid model helps explain the particular phenomenon of “media storms” that can occur, where a sudden surge in media attention can vault a previously ignored issue into the center of public and political attention; think of the Catholic priest abuse scandal, or the scene in Ferguson, Missouri, after Michael Brown’s death. The lurching/fixating dynamics of media attention have far-ranging implications for citizen information and political response, contributing to a wider system of disproportionate information processing where some topics are attended to and others are largely ignored. In particular, because policymakers take so many of their cues from the news, it is likely the case that the lurching/fixating patterns of our media system exacerbate the punctuated patterns of government in turn.
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42

Eimanis, Mārcis. Usage of Double-Helical Propulsion Principle in Underwater Vehicles. RTU Press, 2022. http://dx.doi.org/10.7250/9789934227370.

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The Thesis describes a new underwater vehicle propulsion type developed by the author. Flow and vehicle interaction dynamics are studied, and factors impacting the flow, control methods and the ability to move in other media (in addition to fluid) are reviewed. A geometry of the propulsion system was created by studying its hydrodynamic properties using special CFD software. A mathematical model for the control system was created. The dynamics of the underwater vehicle were modelled with the multibody dynamics modelling software MSC Adams, using the developed control system and the water resistance model developed with CFD software. Flow dynamics were combined with multibody mechanism dynamics using the metamodeling and numerical experiment approach. Numerical experiments in bulk or granular media were performed using the discrete element method, simulating the vehicle movement using the EDEM software. Within the framework of the Thesis, a prototype of the model was also created for observing the model behaviour in real-life conditions. High-quality and good fit results were obtained from the mathematical model and the physical prototype dynamics, proving the performance of both the new propulsion principle and the control system.
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43

Huffaker, Ray, Marco Bittelli, and Rodolfo Rosa. Empirically Detecting Causality. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.003.0008.

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Phenomenological models mathematically describe relationships among empirically observed phenomena without attempting to explain underlying mechanisms. Within the context of NLTS, phenomenological modeling goes beyond phase space reconstruction to extract equations governing real-world system dynamics from a single or multiple observed time series. Phenomenological models provide several benefits. They can be used to characterize the dynamics of variable interactions; for example, whether an incremental increase in one variable drives a marginal increase/decrease in the growth rate of another, and whether these dynamic interactions follow systematic patterns over time. They provide an analytical framework for data driven science still searching for credible theoretical explanation. They set a descriptive standard for how the real world operates so that theory is not misdirected in explaining fanciful behavior. The success of phenomenological modeling depends critically on selection of governing parameters. Model dimensionality, and the time delays used to synthesize dynamic variables, are guided by statistical tests run for phase space reconstruction. Other regression and numerical integration parameters can be set on a trial and error basis within ranges providing numerical stability and successful reproduction of empirically-detected dynamics. We illustrate phenomenological modeling with solutions of the Lorenz model so that we can recognize the dynamics that need to be reproduced.
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44

Glazov, M. M. Electron Spin Decoherence by Nuclei. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198807308.003.0007.

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The discussion of the electron spin decoherence and relaxation phenomena via the hyperfine interaction with host lattice spins is presented here. The spin relaxation processes processes limit the conservation time of spin states as well as the response time of the spin system to external perturbations. The central spin model, where the spin of charge carrier interacts with the bath of nuclear spins, is formulated. We also present different methods to calculate the spin dynamics within this model. Simple but physically transparent semiclassical treatment where the nuclear spins are considered as largely static classical magnetic moments is followed by more advanced quantum mechanical approach where the feedback of electron spin dynamics on the nuclei is taken into account. The chapter concludes with an overview of experimental data and its comparison with model calculations.
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45

La Canna, Giovanni. Heart valve disease (mitral valve disease): anatomy and morphology of the mitral valve. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0034.

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The mitral valve is a complex anatomical structure that includes the valve tissue (leaflets), the left atrioventricular junction (annulus), and the valve suspension system (chordae tendineae, papillary muscles, and left ventricle). Its functional anatomy can be analysed using two- and three-dimensional transthoracic and transoesophageal echocardiography. Based on certain hallmarks (commissures, clefts), in vivo mitral valve tissue anatomy can be accurately categorized. In addition, three-dimensional reconstruction provides a quantitative model for comprehensive valve analysis. This chapter describes the anatomy and morphology of the mitral valve, including the subvalvular suspension system and functional anatomy and dynamics of the mitral annulus.
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46

Stuck and Exploited Refugees and Asylum Seekers in Italy Between Exclusion, Discrimination and Struggles. Venice: Fondazione Università Ca’ Foscari, 2021. http://dx.doi.org/10.30687/978-88-6969-532-2.

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This volume analyses exclusion processes, segregation dynamics and the forms of discrimination of refugees and asylum seekers in Italy, where the reception system is marked by opaqueness and arbitrariness and is becoming increasingly similar to the model of “camps”. The numerous vibrant contributions present a fully-fledged system of inferiorization, characterised by labour exploitation, housing discomfort, meagre rights and control strategies, exacerbated by the COVID-19 pandemic, which has led to a sharp worsening of the health, work, housing and administrative conditions. A framework that has found opposition in the daily resistance and in the struggles of asylum seekers.
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47

Zürn, Michael. Are there Realistic Models of Global Governance with Cosmopolitan Intent? An Empirical Assessment. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198819974.003.0010.

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This chapter considers the development of a better global governance system, investigating the empirical viability and plausibility of four models of global order with cosmopolitan intent. Each of the four models of global order is discussed in order to identify the normative ideas and empirical premises built into each. On this basis, an empirical assessment of the feasibility of various normative theories is carried out by introducing the concept of contributory trends or door-opening dynamics. These trends may empower a model of global order in a critical juncture. In this way, the notion of contributory trends serves as a bridge between empirical observations and prescriptive ideas about global order and allows for a comparative assessment of the four models. The model of cosmopolitan pluralism turns out to be the most promising one when judging on the basis of contributory trends.
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48

Boudreau, Joseph F., and Eric S. Swanson. Percolation and universality. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0008.

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Percolation deals with global properties of random configurations of local objects. While simple to implement in models, understanding percolation requires skill in pattern recognition and analysis. A cluster recognition algorithm is developed to obtain properties of percolation models. The fractal nature of a percolating system is discussed, along with general features of fractals. Scaling laws and critical exponents, which are central features of modern approaches to complex systems, are also introduced and illustrated with percolating systems. The important concept of a correlation function is also used to characterize these systems. Finally, the insensitivity of large classes of model systems with respect to short range dynamics, known as universality, is discussed in the context of percolation. This is illustrated with the modern concepts of coarse graining and the renormalization group.
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49

Kavokin, Alexey V., Jeremy J. Baumberg, Guillaume Malpuech, and Fabrice P. Laussy. Quantum description of light–matter coupling. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198782995.003.0005.

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In this chapter we study with the tools developed in Chapter 3 the basic models that are the foundations of light–matter interaction. We start with Rabi dynamics, then consider the optical Bloch equations that add phenomenologically the lifetime of the populations. As decay and pumping are often important, we cover the Lindblad form, a correct, simple and powerful way to describe various dissipation mechanisms. Then we go to a full quantum picture, quantizing also the optical field. We first investigate the simpler coupling of bosons and then culminate with the Jaynes–Cummings model and its solution to the quantum interaction of a two-level system with a cavity mode. Finally, we investigate a broader family of models where the material excitation operators differ from the ideal limits of a Bose and a Fermi field.
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50

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 decision making by party leaders, in what is clearly an analytically intractable setting, in terms of the informal rules of thumb that might be used by real human beings, rather than the formally provable best response strategies used by traditional formal theorists. Whether people use the dynamic model of multiparty competition or some better model of this vital but complex political process, there is no doubt that the computational approach deployed in this book offers vast potential to ask and answer interesting and important questions.
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