Overview
- Authors:
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Natali Hritonenko
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Department of Cybernetics, Kiev University, Kiev, Ukraine
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Yuri Yatsenko
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Glushkov Institute of Cybernetics, Ukrainian Academy of Sciences, Kiev, Ukraine
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Table of contents (15 chapters)
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Front Matter
Pages i-xxxvi
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Integral Dynamical Models of Evolving Systems
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- Natali Hritonenko, Yuri Yatsenko
Pages 3-12
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- Natali Hritonenko, Yuri Yatsenko
Pages 13-26
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- Natali Hritonenko, Yuri Yatsenko
Pages 27-34
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Analysis of One-Sector Integral Dynamical Models
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- Natali Hritonenko, Yuri Yatsenko
Pages 37-52
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- Natali Hritonenko, Yuri Yatsenko
Pages 53-74
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- Natali Hritonenko, Yuri Yatsenko
Pages 75-100
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Analysis of Multi-Sector Integral Dynamical Models
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Front Matter
Pages 101-101
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- Natali Hritonenko, Yuri Yatsenko
Pages 103-114
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- Natali Hritonenko, Yuri Yatsenko
Pages 115-134
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- Natali Hritonenko, Yuri Yatsenko
Pages 135-148
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- Natali Hritonenko, Yuri Yatsenko
Pages 149-162
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- Natali Hritonenko, Yuri Yatsenko
Pages 163-180
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- Natali Hritonenko, Yuri Yatsenko
Pages 181-192
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Applied Problems of Integral Dynamic Models
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Front Matter
Pages 193-193
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- Natali Hritonenko, Yuri Yatsenko
Pages 195-214
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- Natali Hritonenko, Yuri Yatsenko
Pages 215-226
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- Natali Hritonenko, Yuri Yatsenko
Pages 227-232
About this book
Modern economic growth is characterized by structural changes based on the introduction of new technologies into economics. The replacement and renova tion of technologies in industrial environments undergoing technical change is clearly one of the key aspects of economic development. The mathematical modeling of evolutionary economics under technical change (TC) has been rigorously considered by many authors during last decades. There is a wide variety of economic approaches and models describing different aspects of technical change. Among these are the models of embodied technical progress [19], [35], [70], [129], endogenous growth models [94], [102], the models of technological innovations [31], [32], [41], and others. The perspective self organization evolutionary approach is developed in [20], [38], [122], [123], [124], [126], which unites the aspects of diffusion of new technologies, technological and behavioral diversity of firms, learning mechanisms, age-dependent effects, and other important features of real-life economics. On the whole, an interest in evolutionary economics has brought considerable progress in the description and conceptualization of the sources, characteristics, direction and effects of technical change [125]. However, the modeling and control of technology lifetime under technical change has received rather little attention in mathematical economics in con trary to other aspects of technical progress. The lifetime of technologies has rarely been formally treated as a part of more general mathematical theory of economic dynamics. A problem which is still to be resolved consists in establishing the rational strategies of technologies' replacement under various assumptions on the behavior of technical change.
Authors and Affiliations
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Department of Cybernetics, Kiev University, Kiev, Ukraine
Natali Hritonenko
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Glushkov Institute of Cybernetics, Ukrainian Academy of Sciences, Kiev, Ukraine
Yuri Yatsenko