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Computable economics : the Arne Ryde memorial lectures

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TLDR
In this paper, the authors present a child's guide to computing in the context of games, and discuss the modern theory of induction, adaptive behaviour, and effective playability in arithmetical games.
Abstract
1. Introduction and Outline 2. Computable Economics: Pioneers and Precursors 3. Computable Rationality 4. Adaptive Behaviour 5. The Modern Theory of Induction 6. Learning in a Computable Setting 7. Effective Playability in Arithmetical Games 8. Notes on Computational Complexity 9. Explorations in Computable Economics 10. Concluding Reflections Appendix: A Child's Guide to Computability

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Journal ArticleDOI

From simplistic to complex systems in economics

TL;DR: The applicability of complex systems theory in economics is evaluated and compared with standard approaches to economic theorising based upon constrained optimisation as mentioned in this paper, and it is argued that much of heterodox thought, particularly in neo-Schumpeterian and neo-Austrian evolutionary economics, can be placed within a complex systems perspective upon the economy.
Posted Content

Response to worrying trends in econophysics

TL;DR: A response to the recent worrying trends in economics critique written by four respected theoretical economists can be found in this paper, where the authors differ with the authors on some of their criticism, and partly with their proposed remedy.
Journal ArticleDOI

Why is Economics not a Complex Systems Science

TL;DR: In this article, it is argued that all parts of the economy are inhabited by complex adaptive systems operating in complicated historical contexts and that this should be acknowledged at the core of economic analysis.
Posted Content

The next stage: quantum game theory

TL;DR: In this paper, the history, basic ideas and recent development in quantum game theory are discussed and the possible future development of quantum game theories and its impact on information processing and the emerging information society.
Book ChapterDOI

Economics as Distributed Computation

TL;DR: Viewing human society as a large-scale distributed system for the production of individual welfare leads naturally to agent computing, and it is argued that agents are the only way for social scientists to effectively harness exponential growth in computational capabilities.