Adaptive Bidding in Single-Sided Auctions Under Uncertainty: An Agent-Based Approach in Market Engineering

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.