By Clemens van Dinther
ISBN-10: 3764380942
ISBN-13: 9783764380946
In the final years digital markets, particularly on-line auctions, became very hot and bought progressively more consciousness in either, company (B2B) in addition to in public perform (B2C and C2C). technological know-how, despite the fact that, remains to be faraway from having studied all phenomena and results that are saw on digital markets. This booklet indicates that and the way software program brokers can be utilized to simulate bidding behaviour in digital auctions. the most emphasis of this booklet is to use computational economics to marketplace thought. It summarizes the most typical and up to date agent-based simulation tools and instruments and develops the simulation software program AMASE. On foundation of the brought tools a version is tested to simulate bidding behaviour lower than uncertainty.
The publication addresses researchers, machine scientists, economists and scholars who're attracted to utilizing agent-based computational the way to digital markets. It is helping to profit extra approximately simulations in economics generally and customary agent-based equipment and instruments specifically.
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Additional info for Adaptive Bidding in Single-Sided Auctions Under Uncertainty: An Agent-based Approach in Market Engineering
Sample text
G. the number of competitors). It has an impact on the auction outcome as well. Both, bidding behaviour and auction outcome, are of main interest for economist who search for optimal strategies and market equilibria. This work studies the impact of uncertainty about one’s own private valuation on the bidder behaviour and the auction outcome. The following section summarizes the related work on bidding under uncertainty. 4 Bidding in Auctions under Uncertainty The problem of uncertainty about the own valuation is known in literature in the context of merger and acquisitions where more than one company is potentially willing to takeover one competitor.
34 Chapter 2. Economic Foundations (3) Testing The developed system is tested regarding its operational functionality and its economic properties. • Operational functionality It is important to assure that the implemented system works correct. Therefore, it has to be checked if the code maps to the specified requirements (verification). Common techniques such as unit testing can be applied. Additionally, it is necessary to verify if the requirements themselves are correct or if additional requirements exist (validation).
According to the ME process, CAME starts with the design of an electronic market.
