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Computational Techniques for Modelling Learning in Economics offers a critical overview of the computational techniques that are frequently used for modelling learning in economics. It is a collection of papers, each of which focuses on a different way of modelling learning, including the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least squares learning, Bayesian learning, boundedly rational models and cognitive learning models. Each paper describes the technique it uses, gives an example of its applications, and discusses the advantages and disadvantages of the technique. Hence, the book offers some guidance in ...
This volume is devoted to innovation with a special focus on its two sides, namely creation and destruction, and on its role in the evolution of capitalist economies. The first part of the book looks at innovation and its effects on economic performance, addressing issues of motives, behavioral rules under uncertainty, actor properties, and technology characteristics. The second part concentrates on potential consequences of innovative activities, in particular structural change, the “innovation-mediated” effect of skill-oriented policies on regional performance, the destructive effects of innovation activities, and the question whether novelty is always good. The role of innovation in the evolution of capitalism itself is discussed in the third part.
Contains eight articles together with comments by twenty authors and discussants on the topic of innovations and sustainability. This volume provides an insight into the relation between innovations and sustainability from the perspective of evolutionary economics.
Considers the discordant state of the capitalist world in the 1990s, drawing on both green and socialist economies. Altvater's central concern is to examine the claims made for the market, both in the history of capitalism and in the globalized market economy.
This volume focuses on issues of vital interest in environmental policy making. Knowledge is needed about the impacts of economic processes on the environment and vice versa; people's preferences regarding the environmental quality (including the availability of (non)renewable natural resources) must be known; and knowledge concerning the effectiveness and efficiency of the available policy instruments is essential. These issues are dealt with in various contributions on environmental-economic modelling, valuation of the environment, the design of environmental policies and the economic consequences of environmental policy.
The science of graphs and networks is now an established tool for modeling and analyzing systems with a large number of interacting components. The contributions to this anthology address different aspects of the relationship between innovation and networks.
Marxian economic thought has a long and distinguished history in Japan dating back to World War I. During the 1920s the main focus was on two areas--the theory of capitalism expounded in the three volumes of Marx's Capital, and the particular characteristics of Japanese capitalism as it developed after the Meiji Restoration of 1868. Rival schools of thought emerged and staged brilliant debates at a time when interest in Marxism in the United States was still almost nonexistent. Since World War II the economics faculties of major Japanese universities have taught both Marxist and neoclassical approaches, and many of the most important writings of U.S. and European Marxists have been translated and are widely used in Japan. There has not, however, been a comparable familiarity with the rich Japanese Marxist tradition in the West. Professor Itoh's book makes an important beginning in rectifying this lopsided situation. It opens with a long and highly informative essay on the development of Marxian economics in Japan, and contains a number of the author's important and original contributions to this stream of thought.
At the start of the new millennium, mankind is challenged by a paradox: the more we know about the world the more uncertain we become in understanding and predicting how it works. This book presents an outline of a new basis for Systems Science, and a methodology for its application in complex environmental, economic, social, and technological systems.
The Routledge International Handbook of Complexity Economics covers the historical developments and early concerns of complexity theorists and brings them into engagement with the world today. In this volume, a distinguished group of international scholars explore the state of the art of complexity economics, and how it may deliver new and relevant insights to the challenges of the 21st century. Complexity science started in 1899 when Henri Poincaré described the three-body problem. The first approaches in economics emerged somewhat later, in the 1980s, driven by the Brussels-Austin school. Since then, complexity economics has gone through numerous developments: departing from linear simpli...
Human societies face a threatening future of resource scarcity and environmental damages. This book addresses the challenge of turning these risks into opportunities and policies. It is a collection of high level contributions from experts of sustainable growth and sustainable resource management. Focussing on economics, sustainability, technology and policy, the book highlights system innovation, leapfrogging strategies of emerging economies, possible rebound effects and international market development. It puts natural resources centre stage and will make an important contribution to achieving the goal of a 21st century Green Economy.