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This new edition of Quantitative Sociodynamics presents a general strategy for interdisciplinary model building and its application to a quantitative description of behavioral changes based on social interaction processes. Originally, the crucial methods for the modeling of complex systems (stochastic methods and nonlinear dynamics) were developed in physics and mathematics, but they have very often proven their explanatory power in chemistry, biology, economics and the social sciences as well. Quantitative Sociodynamics provides a unified and comprehensive overview of the different stochastic methods, their interrelations and properties. In addition, it introduces important concepts from nonlinear dynamics (e.g. synergetics, chaos theory). The applicability of these fascinating concepts to social phenomena is carefully discussed. By incorporating decision-theoretical approaches, a fundamental dynamic model is obtained, which opens new perspectives in the social sciences. It includes many established models as special cases, e.g. the logistic equation, the gravity model, some diffusion models, evolutionary game theory and social field theory. Moreover, it implies numerous new results and is relevant for various application areas, such as opinion formation, migration, the self-organization of behavioral conventions, and the behavior of customers and voters. Theoretical results are complemented and illustrated by numerous computer simulations. Quantitative Sociodynamics is relevant both for social scientists and natural scientists who are interested in the application of stochastic and synergetics concepts to interdisciplinary topics. 

Mathematics. --- Probability Theory and Stochastic Processes. --- Operation Research/Decision Theory. --- Game Theory, Economics, Social and Behav. Sciences. --- Socio- and Econophysics, Population and Evolutionary Models. --- Social Sciences, general. --- Distribution (Probability theory). --- Operations research. --- Social sciences. --- Mathématiques --- Distribution (Théorie des probabilités) --- Recherche opérationnelle --- Sciences sociales --- Social interaction --- Stochastic processes --- Mathematical models --- Social interaction - Mathematical models

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During the last decade I have explored the consequences of what I have chosen to call the 'consistent preferences' approach to deductive reasoning in games. To a great extent this work has been done in coop­ eration with my co-authors Martin Dufwenberg, Andres Perea, and Ylva Sovik, and it has lead to a series of journal articles. This book presents the results of this research program. Since the present format permits a more extensive motivation for and presentation of the analysis, it is my hope that the content will be of interest to a wider audience than the corresponding journal articles can reach. In addition to active researcher in the field, it is intended for graduate students and others that wish to study epistemic conditions for equilibrium and rationalizability concepts in game theory. Structure of the book This book consists of twelve chapters. The main interactions between the chapters are illustrated in Table 0.1. As Table 0.1 indicates, the chapters can be organized into four dif­ ferent parts. Chapters 1 and 2 motivate the subsequent analysis by introducing the 'consistent preferences' approach, and by presenting ex­ amples and concepts that are revisited throughout the book. Chapters 3 and 4 present the decision-theoretic framework and the belief operators that are used in later chapters. Chapters 5, 6, 10, and 11 analyze games in the strategic form, while the remaining chapters-Chapters 7, 8, 9, and 12-are concerned with games in the extensive form.

Economics/Management Science. --- Economic Theory. --- Game Theory, Economics, Social and Behav. Sciences. --- Operations Research/Decision Theory. --- Economics. --- Mathematics. --- Economie politique --- Mathématiques --- Economics --- Mathematics --- Game theory --- Decision Making --- Mathematical models --- Decision making -- Mathematical models. --- Game theory. --- Statistics. --- Decision making --- Business & Economics --- Economic Theory --- Algebra --- Physical Sciences & Mathematics --- Math --- Games, Theory of --- Theory of games --- Operations research. --- Decision making. --- Mathematical models. --- Economic theory. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Mathematical Modeling and Industrial Mathematics. --- Operation Research/Decision Theory. --- Science --- Economic theory --- Political economy --- Social sciences --- Economic man --- Models, Mathematical --- Simulation methods --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Decision Making - Mathematical models

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Support for addressing the on-going global changes needs solutions for new scientific problems which in turn require new concepts and tools. A key issue concerns a vast variety of irreducible uncertainties, including extreme events of high multidimensional consequences, e.g., the climate change. The dilemma is concerned with enormous costs versus massive uncertainties of extreme impacts. Traditional scientific approaches rely on real observations and experiments. Yet no sufficient observations exist for new problems, and "pure" experiments, and learning by doing may be expensive, dangerous, or impossible. In addition, the available historical observations are often contaminated by past actions, and policies. Thus, tools are presented for the explicit treatment of uncertainties using "synthetic" information composed of available "hard" data from historical observations, the results of possible experiments, and scientific facts, as well as "soft" data from experts' opinions, and scenarios. .

Economics/Management Science. --- Operations Research/Decision Theory. --- Optimization. --- Computational Intelligence. --- Engineering Design. --- Economics. --- Mathematical optimization. --- Engineering. --- Engineering design. --- Economie politique --- Optimisation mathématique --- Ingénierie --- Conception technique --- Uncertainty --- -Business --- -339.0151 --- Trade --- Economics --- Management --- Commerce --- Industrial management --- Reasoning --- Mathematical models --- E-books --- Uncertainty -- Mathematical models. --- Uncertainty. --- Business & Economics --- Management Theory --- Economic Theory --- Mathematical models. --- Business. --- Operations research. --- Decision making. --- Computational intelligence. --- Business and Management. --- Operation Research/Decision Theory. --- Design, Engineering --- Engineering --- Industrial design --- Strains and stresses --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Design --- Decision making --- Economics, Mathematical --- Construction --- Industrial arts --- Technology

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Decision-making tools are needed to support environmental management in an increasingly global economy. Addressing threats and identifying actions to mitigate those threats necessitates an understanding of the basic risk assessment paradigm and the tools of risk analysis to assess, interpret, and communicate risks. It also requires modification of the risk paradigm itself to incorporate a complex array of quantitative and qualitative information that shapes the unique political and ecological challenges of different countries and regions around the world. This book builds a foundation to characterize and assess a broad range of human and ecological stressors, and risk management approaches to address those stressors, using chemical risk assessment methods and multi-criteria decision analysis tools. Chapters discuss the current state-of-knowledge with regard to emerging stressors and risk management, focusing on the adequacy of available systematic, quantitative tools to guide vulnerability and threat assessments, evaluate the consequences of different events and responses, and support decision-making. This book opens a dialogue on aspects of risk assessment and decision analysis that apply to real-time (immediate) and deliberative (long-term) risk management processes.

Environment. --- Environmental Management. --- Facility Management. --- Environmental Economics. --- Operations Research/Decision Theory. --- Math. Appl. in Environmental Science. --- Environmental sciences. --- Engineering. --- Environmental management. --- Environmental economics. --- Sciences de l'environnement --- Ingénierie --- Environnement --- Economie de l'environnement --- Gestion --- Environmental management -- Decision making. --- Environmental risk assessment. --- Environmental Sciences --- Earth & Environmental Sciences --- Environmental risk assessment --- Environmental management --- Decision making --- Environmental stewardship --- Stewardship, Environmental --- Operations research. --- Decision making. --- Building repair. --- Buildings --- Facility management. --- Building Repair and Maintenance. --- Operation Research/Decision Theory. --- Repair and reconstruction. --- Economics --- Environmental quality --- Environmental science --- Science --- Environmental sciences --- Management --- Facilities management --- Factory management --- Plant engineering --- Building reconstruction --- Building renovation --- Building repair --- Reconstruction of buildings --- Remodeling of buildings --- Renovation of buildings --- Maintenance --- Repairing --- Architecture --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Environmental aspects --- Economic aspects --- Reconstruction --- Remodeling --- Renovation --- Protection --- Conservation and restoration --- Building construction. --- Construction --- Industrial arts --- Technology --- Buildings—Repair and reconstruction.

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The fields of similarity and preference are still broadening due to the exploration of new fields of application. This is caused by the strong impact of vagueness, imprecision, uncertainty and dominance on human and agent information, communication, planning, decision, action, and control as well as by the technical progress of the information technology itself. The topics treated in this book are of interest to computer scientists, statisticians, operations researchers, experts in AI, cognitive psychologists and economists.

Computer Science. --- Data Structures, Cryptology and Information Theory. --- Operations Research/Decision Theory. --- Computer science. --- Data structures (Computer science). --- Informatique --- Structures de données (Informatique) --- Decision making. --- Fuzzy logic. --- Production planning. --- Computer Science --- Mathematical Statistics --- Mathematics --- Engineering & Applied Sciences --- Physical Sciences & Mathematics --- Databases. --- Embedded computer systems. --- Nonlinear logic --- Embedded systems (Computer systems) --- Data banks --- Data bases --- Databanks --- Database systems --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Manufacturing planning --- Process planning --- Decision making --- Operations research. --- Operation Research/Decision Theory. --- Choice (Psychology) --- Problem solving --- Planning --- Production engineering --- Fuzzy mathematics --- Logic, Symbolic and mathematical --- Fuzzy systems --- Computer systems --- Architecture Analysis and Design Language --- Computer files --- Electronic information resources --- Data structures (Computer scienc. --- Data Structures and Information Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Data structures (Computer science) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science)