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The Oxford Handbook Of Computational Economics And Finance Provides A Survey Of Both The Foundations Of And Recent Advances In The Frontiers Of Analysis And Action. It Is Both Historically And Interdisciplinarily Rich And Also Tightly Connected To The Rise Of Digital Society. It Begins With The Conventional View Of Computational Economics, Including Recent Algorithmic Development In Computing Rational Expectations, Volatility, And General Equilibrium. It Then Moves From Traditional Computing In Economics And Finance To Recent Developments In Natural Computing, Including Applications Of Nature-inspired Intelligence, Genetic Programming, Swarm Intelligence, And Fuzzy Logic. Also Examined Are Recent Developments Of Network And Agent-based Computing In Economics. How These Approaches Are Applied Is Examined In Chapters On Such Subjects As Trading Robots And Automated Markets. The Last Part Deals With The Epistemology Of Simulation In Its Trinity Form With The Integration Of Simulation, Computation, And Dynamics. Distinctive Is The Focus On Natural Computationalism And The Examination Of The Implications Of Intelligent Machines For The Future Of Computational Economics And Finance. Not Merely Individual Robots, But Whole Integrated Systems Are Extending Their Immigration To The World Of Homo Sapiens, Or Symbiogenesis.
This handbook investigates the intersection of computational methodologies and economic theory, questioning how digital intelligence and algorithmic systems reshape the landscape of modern finance. The authors, Mak Kaboudan, Shu-Heng Chen, and Ye-Rong Du, synthesize historical foundations with contemporary advancements to provide a comprehensive framework for understanding the role of intelligent machines in economic modeling. By bridging traditional equilibrium analysis with emerging fields like natural computing, the text argues that the integration of simulation and dynamics is critical for navigating the future of global markets.
What You Will Find
Experts recognize this volume as a comprehensive reference for researchers and practitioners working at the intersection of economics and computer science. Readers frequently note the academic density of the prose, which serves as a rigorous survey of both established computational models and emerging technological frontiers.
Page Count:
0
Publication Date:
2018-01-01
Publisher:
Oxford University Press
ISBN-10:
0199844380
ISBN-13:
9780199844388
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