This book constitutes the refereed proceedings of the International Conference on Artificial Neural Networks,ICANN 2001, held in Vienna, Austria in August 2001. The 171 revised papers presented together with three invited contributions were carefully reviewed and selected from around 300 submissions. The papers are organized in topical sections on data analysis and pattern recognition, theory, kernel methods, topographic mapping, independent component analysis, signal processing, time series processing, agent-based economic modeling, selforganization and dynamical systems, robotics and control, vision and image processing, computational neuroscience, and connectionist and cognitive science.
This book constitutes the refereed proceedings of the International Conference on Artificial Neural Networks,ICANN 2001, held in Vienna, Austria in August 2001. The 171 revised papers presented together with three invited contributions were carefully reviewed and selected from around 300 submissions. The papers are organized in topical sections on data analysis and pattern recognition, theory, kernel methods, topographic mapping, independent component analysis, signal processing, time series processing, agent-based economic modeling, selforganization and dynamical systems, robotics and control, vision and image processing, computational neuroscience, and connectionist and cognitive science.
In a rapidly changing economical environment, quick adaptation is one of the crucial tasks for modern management and permanent learning is a key-factor in the struggle for successfully coping with this challenge. The learning process itself is based not only upon the information gathered on the market, but also upon the totality of knowledge within the company. This book develops a theory of a firm that is based on these principles rather than on optimization and classical equilibrium. It uses quantitative models to describe adaptive firm behavior, the various types of learning as well as various domains of application (organization of new production development, adoption of business models, market entry etc.). It gives an introduction to the various mathematical models of learning and to the applications to problems in microeconomics as well as in business administration. The reader can expect a comprehensive introduction to the subject, its significance for economic theory and managerial practice.
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