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EbookBell Team
4.3
98 reviewsISBN 10: 3764387297
ISBN 13: 9783764387297
Author: Huiye Ma
Online auctions are a platform to trade goods on the Internet. In this context, negotiation capabilities for software agents in continuous double auctions (CDAs) are a central concern. Agents need to be able to prepare bids for and evaluate offers on behalf of the users they represent with the aim of obtaining the maximum benefit for their users.
For the agents, their bids are decided according to some bidding strategy. However, in CDAs, it is a complex decision problem because of the inherent uncertainty and dynamics of the auction market. In this book, we present a new bidding strategy for agents to adopt in CDAs and propose tools to enhance the performance of existing bidding strategies in CDAs. The superior performance of the new bidding strategy as well as the tools presented in this book are illustrated through extensive experiments.
Chapter 1: Introduction
1.1 Motivation
1.2 Objectives
1.3 Structure of the Book
Chapter 2: Continuous Double Auction (CDA)
2.1 Introduction to the CDA
2.2 Theoretical and Experimental Market Characteristics
2.3 Automated Trading in CDA Markets
Chapter 3: An Agent-Based Bidding Model
3.1 The Trading Agent
3.2 The Market Environment
3.3 Learning Mechanisms
Chapter 4: Trading Strategies in the CDA
4.1 Static Strategies
4.2 Adaptive Strategies
4.3 Learning-Based Strategies
4.4 Combinations of Strategies
Chapter 5: Experimental Design and Setup
5.1 Experimental Hypotheses
5.2 Simulation Environment and Parameters
5.3 Performance Metrics
Chapter 6: Experimental Results
6.1 Results for Homogeneous Agent Populations
6.2 Results for Heterogeneous Agent Populations
6.3 Analysis of Market Efficiency
6.4 Analysis of Agent Profitability
Chapter 7: Conclusion and Outlook
7.1 Summary of Main Findings
7.2 Limitations of the Study
7.3 Directions for Future Research
bidding strategies in agent-based continuous
bidding agent
bidding strategy auction
bidding strategies for online auctions
agent based bidding
strategy in bidding
Tags: Huiye Ma, Bidding, Strategies