This volume contains papers presented at the IFAC symposium on Modeling and control of Economic Systems (SME 2001), which was held at the university of Klagenfurt, Austria. The symposium brought together scientists and users to explore current theoretical developments of modeling techniques for economic systems. It contains a section of plenary, invited and contributed papers presented at the SME 2001 symposium. The papers presented in this volume reflect advances both in methodology and in applications in the area of modeling and control of economic systems.

The book focuses on new theoretical results and techniques in the field of intelligent systems and control. It provides in-depth studies on a number of major topics such as Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control Guidance, Navigation and Control of Flight Vehicles and so on. Given its scope, the book will benefit all researchers, engineers, and graduate students who want to learn about cutting-edge advances in intelligent systems, intelligent control, and artificial intelligence.

Recognising that the economy is a complex system with boundedly rational interacting agents, the book presents a theory of behavioral rationality and heterogeneous expectations in complex economic systems and confronts the nonlinear dynamic models with empirical stylized facts and laboratory experiments. The complexity modeling paradigm has been strongly advocated since the late 1980s by some economists and by multidisciplinary scientists from various fields, such as physics, computer science and biology. More recently the complexity view has also drawn the attention of policy makers, who are faced with complex phenomena, irregular fluctuations and sudden, unpredictable market transitions. The complexity tools - bifurcations, chaos, multiple equilibria - discussed in this book will help students, researchers and policy makers to build more realistic behavioral models with heterogeneous expectations to describe financial market movements and macro-economic fluctuations, in order to better manage crises in a complex global economy.

This volume examines concepts of central planning, a cornerstone of political economy in Soviet-type societies. It revolves around the theory of “optimal planning” which promised a profound modernization of Stalinist-style verbal planning. Encouraged by cybernetic dreams in the 1950s and supporting the strategic goals of communist leaders in the Cold War, optimal planners offered the ruling elites a panacea for the recurrent crises of the planned economy. Simultaneously, their planning projects conveyed the pride of rational management and scientific superiority over the West. The authors trace the rise and fall of the research program in the communist era in eight countries of Eastern Europe, including the Soviet Union, and China, describing why the mission of optimization was doomed to fail and why the failure was nevertheless very slow. The theorists of optimal planning contributed to the rehabilitation of mathematical culture in economic research in the communist countries, and thus, to a neoclassical turn in economics all over the ex-communist world). However, because they have not rejected optimal planning as “computopia,” there is a large space left behind for future generations to experiment with Big Optimal Plans anew—based, at this time, on artificial intelligence and machine learning.

Handbook of Computational Economics: Heterogeneous Agent Modeling, Volume Four, focuses on heterogeneous agent models, emphasizing recent advances in macroeconomics (including DSGE), finance, empirical validation and experiments, networks and related applications. Capturing the advances made since the publication of Volume Two (Tesfatsion & Judd, 2006), it provides high-level literature with sections devoted to Macroeconomics, Finance, Empirical Validation and Experiments, Networks, and other applications, including Innovation Diffusion in Heterogeneous Populations, Market Design and Electricity Markets, and a final section on Perspectives on Heterogeneity. - Helps readers fully understand the dynamic properties of realistically rendered economic systems - Emphasizes detailed specifications of structural conditions, institutional arrangements and behavioral dispositions - Provides broad assessments that can lead researchers to recognize new synergies and opportunities

"Advances in Water Resources and Hydraulic Engineering - Proceedings of 16th IAHR-APD Congress and 3rd Symposium of IAHR-ISHS" discusses some serious problems of sustainable development of human society related to water resources, disaster caused by flooding or draught, environment and ecology, and introduces latest research in river engineering and fluvial processes, estuarine and coastal hydraulics, hydraulic structures and hydropower hydraulics, etc. The proceedings covers new research achievements in the Asian-Pacific region in water resources, environmental ecology, river and coastal engineering, which are especially important for developing countries all over the world. This proceedings serves as a reference for researchers in the field of water resources, water quality, water pollution and water ecology. Changkuan Zhang and Hongwu Tang both are professors at Hohai University, China.

Environmental issues is one of the significantly important subjects to be solved on a global scale for attaining sustainable developments in the new century. A major feature of environmental issues is that studies on environments are interdisciplinary and should deal with complex and heterogeneous systems, which include chemical, physical and biological phenomena and further socio-economical activities and technology developments for energy saving and CO 2 emission reduction. The workshop provided the forum for presentation of new developments in the important interdisciplinary field of environmental systems involving the application of concepts, methods and techniques of modeling and control. The aim was to review state-of-the-art systems and control approaches, exchange new results in interdisciplinary fields and look at feasible developments to the future. The scope of this workshop covered various aspects of systems and control approaches to environmental issues: Environmental assessment; Systems approaches to environmental management and strategies; Modeling of global warming and impact analysis on socio-structure; Modeling of ecological systems; Control and optimization of environmental quantities; System reform and integration for environments; Advanced control technology for reduction of energy consumption and CO 2 emission; Cogeneration systems; Control systems approaches to clean energy; Fuel cells and their applications; Systems Integration technologies in urban planning; Systems modeling and data analysis in life cycle assessment; Manufacturing in symbiosis with environments; Modeling and control of waste incineration plant; Water quality control and waste water management; Other related topics.

Handbook in Environmental Economics, Volume 4, the latest in this ongoing series, highlights new advances in the field, with this new volume presenting timely chapters on Modeling Ecosystems and Economic Systems, Framing Sustainability Policy Questions: Who Leads – Ecology or Economics?, Valuing Natural Capital Within an Integrated Economic Ecological, Developing Economies, Urbanization, Climate Change and Health, Viewing Environmental Policy Instruments for Domestic and International Perspective, Quasi experimental Estimation of Environmental Policies, Environment Macro, The Rules for Formal and Informal Institutions in Managing Environmental Resources, and How Should Uncertainty Be Integrated into the Methods for Policy Evaluation? - Answers key policy questions facing environmental agencies in developed and developing economies - Integrates insights from economics and ecology as part of several key chapters - Presents the latest on efforts to review and evaluate the new literatures on field and quasi experiments in environmental economics - Provides the first substantive review of environmental macro economics

Agricultural systems are uniquely complex systems, given that agricultural systems are parts of natural and ecological systems. Those aspects bring in a substantial degree of uncertainty in system operation. Also, impact factors, such as weather factors, are critical in agricultural systems but these factors are uncontrollable in system management. Modern agriculture has been evolving through precision agriculture beginning in the late 1980s and biotechnological innovations in the early 2000s. Precision agriculture implements site-specific crop production management by integrating agricultural mechanization and information technology in geographic information system (GIS), global navigation satellite system (GNSS), and remote sensing. Now, precision agriculture is set to evolve into smart agriculture with advanced systematization, informatization, intelligence and automation. From precision agriculture to smart agriculture, there is a substantial amount of specific control and communication problems that have been investigated and will continue to be studied. In this book, the core ideas and methods from control problems in agricultural production systems are extracted, and a system view of agricultural production is formulated for the analysis and design of management strategies to control and optimize agricultural production systems while exploiting the intrinsic feedback information-exchanging mechanisms. On this basis, the theoretical framework of agricultural cybernetics is established to predict and control the behavior of agricultural production systems through control theory.