Adaptive Bidding in Single-Sided Auctions Under Uncertainty : An Agent-based Approach in Market Engineering /
By: Dinther, Clemens van [author.].
Contributor(s): SpringerLink (Online service)0.
Material type: BookSeries: Whitestein Series in Software Agent Technologies and Autonomic Computing0.Publisher: Basel : Birkh�user Basel, 2007. Description: XVIII, 238 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783764381134.Subject(s): Computer science | Trade | Business | Commerce | Artificial intelligence.1 | Computer Science.2 | Artificial Intelligence (incl. Robotics).2 | Trade.2DDC classification: 006.3 Online resources: Click here to access onlineItem type | Current location | Call number | Status | Date due | Barcode | Item holds |
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PK Kelkar Library, IIT Kanpur | Available | EBK1583 |
Motivation and Fundamentals -- Economic Foundations -- Agent-based Computational Economics -- Agent-based Simulation Approaches and Tools -- Methodological Approaches of MABS in Economics -- Agent-based Simulation Software -- Examination of Bidding under Uncertainty -- Simulation Design -- Assessment of the Simulation Results -- Concluding Discussion and Future Research -- Conclusion.
In the last years electronic markets, especially online auctions, have become very popular and received more and more attention in both, business (B2B) as well as in public practice (B2C and C2C). Science, however, is still far from having studied all phenomena and effects which can be observed on electronic markets. This book shows that and how software agents can be used to simulate bidding behaviour in electronic auctions. The main emphasis of this book is to apply computational economics to market theory. It summarizes the most common and up-to-date agent-based simulation methods and tools and develops the simulation software AMASE. On basis of the introduced methods a model is established to simulate bidding behaviour under uncertainty. The book addresses researchers, computer scientists, economists and students who are interested in applying agent-based computational methods to electronic markets. It helps to learn more about simulations in economics in general and common agent-based methods and tools in particular.
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