John Foster and Jason Potts
- Published in print:
- 2006
- Published Online:
- May 2006
- ISBN:
- 9780199290475
- eISBN:
- 9780191603495
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/0199290474.003.0005
- Subject:
- Economics and Finance, Economic Systems
This chapter argues that evolutionary economics should be founded upon complex systems theory rather than neo-Darwinian analogies concerning natural selection, which focus on supply side ...
More
This chapter argues that evolutionary economics should be founded upon complex systems theory rather than neo-Darwinian analogies concerning natural selection, which focus on supply side considerations and competition amongst firms and technologies. It suggests that conceptions such as production and consumption functions should be replaced by network representations, in which the preferences or, more correctly, the aspirations of consumers are fundamental and, as such, the primary drivers of economic growth. Technological innovation is viewed as a process that is intermediate between these aspirational networks, and the organizational networks in which goods and services are produced. Consumer knowledge becomes at least as important as producer knowledge in determining how economic value is generated. It becomes clear that the stability afforded by connective systems of rules is essential for economic flexibility to exist, but that too many rules result in inert and structurally unstable states. In contrast, too few rules result in a more stable state, but at a low level of ordered complexity. Economic evolution from this perspective is explored using random and scale free network representations of complex systems.Less
This chapter argues that evolutionary economics should be founded upon complex systems theory rather than neo-Darwinian analogies concerning natural selection, which focus on supply side considerations and competition amongst firms and technologies. It suggests that conceptions such as production and consumption functions should be replaced by network representations, in which the preferences or, more correctly, the aspirations of consumers are fundamental and, as such, the primary drivers of economic growth. Technological innovation is viewed as a process that is intermediate between these aspirational networks, and the organizational networks in which goods and services are produced. Consumer knowledge becomes at least as important as producer knowledge in determining how economic value is generated. It becomes clear that the stability afforded by connective systems of rules is essential for economic flexibility to exist, but that too many rules result in inert and structurally unstable states. In contrast, too few rules result in a more stable state, but at a low level of ordered complexity. Economic evolution from this perspective is explored using random and scale free network representations of complex systems.
James Ladyman, Don Ross, and and David Spurrett with John Collier
- Published in print:
- 2007
- Published Online:
- September 2007
- ISBN:
- 9780199276196
- eISBN:
- 9780191706127
- Item type:
- book
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199276196.001.0001
- Subject:
- Philosophy, Metaphysics/Epistemology, Philosophy of Science
This book argues that the only kind of metaphysics that can contribute to objective knowledge is one based specifically on contemporary science as it really is, and not on philosophers' a priori ...
More
This book argues that the only kind of metaphysics that can contribute to objective knowledge is one based specifically on contemporary science as it really is, and not on philosophers' a priori intuitions, common sense, or simplifications of science. In addition to showing how recent metaphysics has drifted away from connection with all other serious scholarly inquiry as a result of not heeding this restriction, this book demonstrates how to build a metaphysics compatible with current fundamental physics (“ontic structural realism”), which, when combined with metaphysics of the special sciences (“rainforest realism”), can be used to unify physics with the other sciences without reducing these sciences to physics itself. Taking science metaphysically seriously, this book argues, means that metaphysicians must abandon the picture of the world as composed of self-subsistent individual objects, and the paradigm of causation as the collision of such objects. The text assesses the role of information theory and complex systems theory in attempts to explain the relationship between the special sciences and physics, treading a middle road between the grand synthesis of thermodynamics and information, and eliminativism about information. The consequences of the books' metaphysical theory for central issues in the philosophy of science are explored, including the implications for the realism versus empiricism debate, the role of causation in scientific explanations, the nature of causation and laws, the status of abstract and virtual objects, and the objective reality of natural kinds.Less
This book argues that the only kind of metaphysics that can contribute to objective knowledge is one based specifically on contemporary science as it really is, and not on philosophers' a priori intuitions, common sense, or simplifications of science. In addition to showing how recent metaphysics has drifted away from connection with all other serious scholarly inquiry as a result of not heeding this restriction, this book demonstrates how to build a metaphysics compatible with current fundamental physics (“ontic structural realism”), which, when combined with metaphysics of the special sciences (“rainforest realism”), can be used to unify physics with the other sciences without reducing these sciences to physics itself. Taking science metaphysically seriously, this book argues, means that metaphysicians must abandon the picture of the world as composed of self-subsistent individual objects, and the paradigm of causation as the collision of such objects. The text assesses the role of information theory and complex systems theory in attempts to explain the relationship between the special sciences and physics, treading a middle road between the grand synthesis of thermodynamics and information, and eliminativism about information. The consequences of the books' metaphysical theory for central issues in the philosophy of science are explored, including the implications for the realism versus empiricism debate, the role of causation in scientific explanations, the nature of causation and laws, the status of abstract and virtual objects, and the objective reality of natural kinds.
David S. Wilson, Alan Kirman, and Julia Lupp
- Published in print:
- 2016
- Published Online:
- May 2017
- ISBN:
- 9780262035385
- eISBN:
- 9780262337717
- Item type:
- chapter
- Publisher:
- The MIT Press
- DOI:
- 10.7551/mitpress/9780262035385.003.0001
- Subject:
- Economics and Finance, History of Economic Thought
How are we to understand economic institutions that are comprised of multiple, interacting individuals who operate on various spatial and temporal scales, all of which are impacted by a myriad of ...
More
How are we to understand economic institutions that are comprised of multiple, interacting individuals who operate on various spatial and temporal scales, all of which are impacted by a myriad of factors? Economics has based its efforts largely on general equilibrium theory, yet this dominant paradigm has two fundamental flaws: it assumes that economic systems are at equilibrium and utilizes Homo economicus (a fictitious being) to define preferences, behavior, and abilities. Because these assumptions deviate so drastically from reality, there is doubt whether incremental changes can ever render it effective. Thus, alternative approaches have emerged. Evolutionary theory has brought novel insight to explain the behavior of individuals and institutions, and complexity theory has provided context to understand economies as complex adaptive systems. To permit greater understanding of economics and public policy, this Ernst Strüngmann Forum explored the integration of concepts from complexity theory and evolutionary theory. The hope was that this discourse would spur a synthesis and lead to the creation of a new economic framework—one capable of modeling economic systems as complexly adaptive and frequently out of equilibrium, based on the preferences, behavior, and abilities of real human beings and the diverse processes involved.Less
How are we to understand economic institutions that are comprised of multiple, interacting individuals who operate on various spatial and temporal scales, all of which are impacted by a myriad of factors? Economics has based its efforts largely on general equilibrium theory, yet this dominant paradigm has two fundamental flaws: it assumes that economic systems are at equilibrium and utilizes Homo economicus (a fictitious being) to define preferences, behavior, and abilities. Because these assumptions deviate so drastically from reality, there is doubt whether incremental changes can ever render it effective. Thus, alternative approaches have emerged. Evolutionary theory has brought novel insight to explain the behavior of individuals and institutions, and complexity theory has provided context to understand economies as complex adaptive systems. To permit greater understanding of economics and public policy, this Ernst Strüngmann Forum explored the integration of concepts from complexity theory and evolutionary theory. The hope was that this discourse would spur a synthesis and lead to the creation of a new economic framework—one capable of modeling economic systems as complexly adaptive and frequently out of equilibrium, based on the preferences, behavior, and abilities of real human beings and the diverse processes involved.
Robert Axtell, Alan Kirman, Iain D. Couzin, Daniel Fricke, Thorsten Hens, Michael E. Hochberg, John E. Mayfield, Peter Schuster, and Rajiv Sethi
- Published in print:
- 2016
- Published Online:
- May 2017
- ISBN:
- 9780262035385
- eISBN:
- 9780262337717
- Item type:
- chapter
- Publisher:
- The MIT Press
- DOI:
- 10.7551/mitpress/9780262035385.003.0005
- Subject:
- Economics and Finance, History of Economic Thought
Complex systems theory and evolutionary theory hold important insight for economics, yet to date they have played a limited role in shaping modern economic theory. This chapter reviews different ...
More
Complex systems theory and evolutionary theory hold important insight for economics, yet to date they have played a limited role in shaping modern economic theory. This chapter reviews different notions of equilibrium and explores four distinct areas relevant to the incorporation of evolutionary and complexity ideas into economics, finance, and policy. It investigates the determinants of major economic transitions, such as the Industrial Revolution or the collapse of the Soviet Union. It asks whether evolutionary processes should lead to an increase in complexity, on average, of economic and social systems over time. It reviews modern theories of group learning in biology, which have both evolutionary and complexity dimensions, to see if they might be relevant to human social institutions, such as firms. It analyzes whether the structure of human interactions or individual human intelligence is primarily responsible for the performance of our institutions. Finally, it finds that methods of evolutionary analysis and of complex systems to be extremely useful in capturing the open-ended, evolving nature of an economy composed of interactive agents and suggests that these methods be used to create to more realistic models of actual markets and economies.Less
Complex systems theory and evolutionary theory hold important insight for economics, yet to date they have played a limited role in shaping modern economic theory. This chapter reviews different notions of equilibrium and explores four distinct areas relevant to the incorporation of evolutionary and complexity ideas into economics, finance, and policy. It investigates the determinants of major economic transitions, such as the Industrial Revolution or the collapse of the Soviet Union. It asks whether evolutionary processes should lead to an increase in complexity, on average, of economic and social systems over time. It reviews modern theories of group learning in biology, which have both evolutionary and complexity dimensions, to see if they might be relevant to human social institutions, such as firms. It analyzes whether the structure of human interactions or individual human intelligence is primarily responsible for the performance of our institutions. Finally, it finds that methods of evolutionary analysis and of complex systems to be extremely useful in capturing the open-ended, evolving nature of an economy composed of interactive agents and suggests that these methods be used to create to more realistic models of actual markets and economies.
Terence C. Burnham, Stephen E. G. Lea, Adrian V. Bell, Herbert Gintis, Paul W. Glimcher, Robert Kurzban, Leonhard Lades, Kevin McCabe, Karthik Panchanathan, Miriam Teschl, and Ulrich Witt
- Published in print:
- 2016
- Published Online:
- May 2017
- ISBN:
- 9780262035385
- eISBN:
- 9780262337717
- Item type:
- chapter
- Publisher:
- The MIT Press
- DOI:
- 10.7551/mitpress/9780262035385.003.0008
- Subject:
- Economics and Finance, History of Economic Thought
This chapter explores how the economic model of individual behavior can be improved by incorporating a number of insights from evolutionary theory and complex systems theory. Insights from ...
More
This chapter explores how the economic model of individual behavior can be improved by incorporating a number of insights from evolutionary theory and complex systems theory. Insights from psychology, the neurosciences, and the behavioral strand of economics may be better understood from an evolutionary and complexity perspective. It takes an integrated interdisciplinary approach to economic phenomena. Core concepts in economic theory (preference and choice) are clarified and Tinbergen’s “four questions” about the origins of behavior are used to provide a framework. Informed by Tinbergen, areas from behavioral science are presented which may be useful for understanding economic behavior: some are directly evolutionary, while others come from scientific contexts informed by evolutionary theory. Each area has yielded well researched ideas that provide considerable insight into human nature. It concludes with a review of where research stands today and where it could be directed in the future.Less
This chapter explores how the economic model of individual behavior can be improved by incorporating a number of insights from evolutionary theory and complex systems theory. Insights from psychology, the neurosciences, and the behavioral strand of economics may be better understood from an evolutionary and complexity perspective. It takes an integrated interdisciplinary approach to economic phenomena. Core concepts in economic theory (preference and choice) are clarified and Tinbergen’s “four questions” about the origins of behavior are used to provide a framework. Informed by Tinbergen, areas from behavioral science are presented which may be useful for understanding economic behavior: some are directly evolutionary, while others come from scientific contexts informed by evolutionary theory. Each area has yielded well researched ideas that provide considerable insight into human nature. It concludes with a review of where research stands today and where it could be directed in the future.
David S Wilson and Alan Kirman (eds)
- Published in print:
- 2016
- Published Online:
- May 2017
- ISBN:
- 9780262035385
- eISBN:
- 9780262337717
- Item type:
- book
- Publisher:
- The MIT Press
- DOI:
- 10.7551/mitpress/9780262035385.001.0001
- Subject:
- Economics and Finance, History of Economic Thought
Two widely heralded yet contested approaches to economics have emerged in recent years. One follows an older, rather neglected approach which emphasizes evolutionary theory in terms of individuals ...
More
Two widely heralded yet contested approaches to economics have emerged in recent years. One follows an older, rather neglected approach which emphasizes evolutionary theory in terms of individuals and institutions. The other emphasizes economies as complex adaptive systems. Important concepts from evolutionary theory include the distinction between proximate and ultimate causation, multilevel selection, cultural change as an evolutionary process, and human psychology as a product of gene–culture coevolution. Relevant concepts from complexity theory include self-organization, fractals, chaos, sensitive dependence, basins of attraction, and path dependence. This book explores these two bodies of theory and their potential impact on economics. Central themes include the challenges that emerge through integration, evolutionary behavioral economics, and the evolution of institutions. Practical applications are provided and avenues for future research highlighted.Less
Two widely heralded yet contested approaches to economics have emerged in recent years. One follows an older, rather neglected approach which emphasizes evolutionary theory in terms of individuals and institutions. The other emphasizes economies as complex adaptive systems. Important concepts from evolutionary theory include the distinction between proximate and ultimate causation, multilevel selection, cultural change as an evolutionary process, and human psychology as a product of gene–culture coevolution. Relevant concepts from complexity theory include self-organization, fractals, chaos, sensitive dependence, basins of attraction, and path dependence. This book explores these two bodies of theory and their potential impact on economics. Central themes include the challenges that emerge through integration, evolutionary behavioral economics, and the evolution of institutions. Practical applications are provided and avenues for future research highlighted.
