1.

Record Nr.

UNINA9910141178403321

Titolo

Nonlinearity, complexity and randomness in economics [[electronic resource] ] : towards algorithmic foundations for economics / / edited by Stefano Zambelli and Donald A.R. Georg

Pubbl/distr/stampa

Chichester, : John Wiley & Sons, 2012

ISBN

1-283-40462-1

9786613404626

1-118-30044-0

1-118-30042-4

Descrizione fisica

1 online resource (255 p.)

Collana

Surveys of Recent Research in Economics

Altri autori (Persone)

ZambelliStefano

GeorgeDonald A. R. <1953->

Disciplina

330.01/519

Soggetti

Economics, Mathematical

Econometrics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Nonlinearity, Complexity and Randomnessin Economics; Contents; Notes on Contributors; 1. Introduction; 2. Towards an Algorithmic Revolution in Economic Theory; 3. An Algorithmic Information-Theoretic Approach to the Behaviour of Financial Markets; 4. Complexity and Randomness in Mathematics: Philosophical Reflections on the Relevance for Economic Modelling; 5. Behavioural Complexity; 6. Bounded Rationality and the Emergence of Simplicity Amidst Complexity; 7. Emergent Complexity in Agent-Based Computational Economics; 8. Non-Linear Dynamics, Complexity and Randomness: Algorithmic Foundations

9. Stock-Flow Interactions, Disequilibrium Macroeconomics and the Role of Economic Policy10. Equilibrium Versus Market Efficiency: Randomness versus Complexity in Finance Markets; 11. Flexible Accelerator Economic Systems as Coupled Oscillators; 12. Shifting Sands: Non-Linearity, Complexity and Randomness in Economics; Index

Sommario/riassunto

Nonlinearity, Complexity and Randomness in Economics presents a variety of papers by leading economists, scientists, and philosophers



who focus on different aspects of nonlinearity, complexity and randomness, and their implications for economics. A theme of the book is that economics should be based on algorithmic, computable mathematical foundations. Features an interdisciplinary collection of papers by economists, scientists, and philosophersPresents new approaches to macroeconomic modelling, agent-based modelling, financial markets, and emergent complexity<b