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Evolutionary approach to systems from the entire economy to the behaviour of single markets.
Debunking Economics exposes what many non-economists may have suspected and a minority of economists have long known: that economic theory is not only unpalatable, but also plain wrong. When the original Debunking was published back in 2001, the market economy seemed invincible, and conventional 'neoclassical' economic theory basked in the limelight. Steve Keen argued that economists deserved none of the credit for the economy's performance, and that 'the false confidence it has engendered in the stability of the market economy has encouraged policy-makers to dismantle some of the institutions which initially evolved to try to keep its instability within limits'. That instability exploded with the devastating financial crisis of 2007, and now haunts the global economy with the prospect of another Depression. In this radically updated and greatly expanded new edition - this version of which includes fully integrated graphs and diagrams - Keen builds on his scathing critique of conventional economic theory whilst explaining what mainstream economists cannot: why the crisis occurred, why it is proving to be intractable, and what needs to be done to end it. Essential for anyone who has ever doubted the advice or reasoning of economists, Debunking Economics provides a signpost to a better future.
Nonlinearity, Complexity and Randomness in Economics presents a variety of papers by leading economists, scientists, and philosophers who focus on different aspects of nonlinearity, complexity and randomness, and their implications for economics. A theme of the book is that economics should be based on algorithmic, computable mathematical foundations. Features an interdisciplinary collection of papers by economists, scientists, and philosophers Presents new approaches to macroeconomic modelling, agent-based modelling, financial markets, and emergent complexity Reveals how economics today must be based on algorithmic, computable mathematical foundations
Over the past few years the study of Complex Systems has proven to be a fruitful and expanding field of research. Just as the number of discoveries and applications has grown, so has level of acceptance in academic, government and commercial environments. Theoretical and practical contributions to research have continued to provide a springboard for wide ranging discoveries across many disciplines investigating complex phenomena. This is the third in a series of collected studies on complexity research. This volume addresses one of the central issues of complexity. That is, how are systems put together? How do interactions between individual elements build up into the behavior or properties of an entire system? The topics are: - Organization and Behavior of Computational Systems; - Criticality and Complexity; - Nonlinear Dynamics and Fractals; - Computational Problem Solving with Genetic Algorithms and Cellular Automata; - Evolution, Learning and Artificial Neural Networks; - From Biological Systems to Artificial Life.
This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. With the rapid development of modern economic society, in the process of economic management, informatization has become the mainstream of economic development in the future. At the same time, with the emergence of advanced management technologies such as blockchain technology and big data technology, real market information can be quickly obtained in the process of economic management, which greatly reduces the operating costs of the market economy and effectively enhances the management level of operators, thus contributing to the sustained, rapid and healthy development of the market economy. Under the new situation, the innovative application of economic management research is of great practical significance. 2022 International Conference on Bigdata, Blockchain and Economic Management (ICBBEM 2022) will be held on March 25–27, 2022 in Wuhan, China. ICBBEM 2022 will focus on the latest fields of Bigdata, Blockchain and Economic Management to provide an international platform for experts, professors, scholars and engineers from universities, scientific institutes, enterprises and government-affiliated institutions at home and abroad to share experiences, to expand professional fields, to exchange new ideas face to face, to present research results, and to discuss the key challenging issues and research directions facing the development of this field, with a view to promoting the development and application of theories and technologies in universities and enterprises.
'The following sections are a very good representation of the core developments of complexity thinking in a number of major fields. Our intention is to provide an accessible interdisciplinary introduction to the wonderful intellectual breadth that complexity can offer.' - Jan Bogg and Robert Geyer in the Introduction. Complexity is a new and exciting interdisciplinary approach to science and society that challenges traditional academic divisions, frameworks and paradigms. This book helps the expert, student or policy practitioner have a better understanding of the enormous potential of complexity, and how it relates to their particular area of interest or expertise. It provides excellent representations of the core developments of complexity thinking in a number of major fields. "Complexity, Science and Society" brings together an unrivalled selection of new applications of complexity from leading experts across subjects including medicine and healthcare, education, public policy and social theory, ecology, philosophy, international politics, the arts, modelling and design, and others. Together they offer an unprecedented review of the latest developments. This book is an accessible interdisciplinary introduction to the wonderful intellectual breadth that complexity can offer.
This collection investigates parametric, semiparametric, nonparametric, and nonlinear estimation techniques in statistical modeling.
This book explores the universe and its subsystems from the three lenses of evolutionary (contingent), developmental (predictable), and complex (adaptive) processes at all scales. It draws from prolific experts within the academic disciplines of complexity science, physical science, information and computer science, theoretical and evo-devo biology, cosmology, astrobiology, evolutionary theory, developmental theory, and philosophy. The chapters come from a Satellite Meeting, "Evolution, Development and Complexity" (EDC) hosted at the Conference on Complex Systems, in Cancun, 2017. The contributions have been peer-reviewed and contributors from outside the conference were invited to submit chapters to ensure full coverage of the topics. This book explores many issues within the field of EDC such as the interaction of evolutionary stochasticity and developmental determinism in biological systems and what they might teach us about these twin processes in other complex systems. This text will appeal to students and researchers within the complex systems and EDC fields.
Debunking Economics exposes what many non-economists may have suspected and a minority of economists have long known: that economic theory is not only unpalatable, but also plain wrong. When the original Debunking was published back in 2001, the market economy seemed invincible, and conventional 'neoclassical' economic theory basked in the limelight. Steve Keen argued that economists deserved none of the credit for the economy's performance, and that 'the false confidence it has engendered in the stability of the market economy has encouraged policy-makers to dismantle some of the institutions which initially evolved to try to keep its instability within limits'. That instability exploded with the devastating financial crisis of 2007, and now haunts the global economy with the prospect of another Depression. In this radically updated and greatly expanded new edition, Keen builds on his scathing critique of conventional economic theory whilst explaining what mainstream economists cannot: why the crisis occurred, why it is proving to be intractable, and what needs to be done to end it. Essential for anyone who has ever doubted the advice or reasoning of economists, Debunking Economics provides a signpost to a better future.
This book constitutes the refereed proceedings of 6 international workshops held in conjunction with the 4th International Conference on Business Process Management, BPM 2006, in Vienna, Austria in September 2006. The 40 revised full papers presented were carefully reviewed and selected from a total of 94 overall submissions to six international workshops.