Adaptive Bidding in Single-Sided Auctions under Uncertainty

This book details the use of software agents to simulate bidding behavior in electronic auctions. It applies computational economics to market theory. Coverage summarizes the most common and up-to-date agent-based simulation methods and tools and develops the simulation software AMASE. It also establishes a model, on the basis of the introduced methods, to simulate bidding behavior under uncertainty.

The book will help readers to learn more about simulations in economics in general and common agent-based methods and tools in particular. It identifies basic definitions and details how to build an appropriate model for the posed research question. It presents quantitative results for the problem of valuation uncertainty. These results significantly contribute to existing research in computational economics and supplements interesting research aspects.

One of the first books on the use of software agents to simulate bidding behaviour in electronic auctions Introduces market theory and computational economics together Gives an overview on the most common and up-to-date agent-based simulation methods

Contenu
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.