Exploring the Strategy Space of Negotiating Agents A Framework for Bidding, Learning and Accepting in Automated Negotiation /
This book reports on an outstanding thesis that has significantly advanced the state-of-the-art in the area of automated negotiation. It gives new practical and theoretical insights into the design and evaluation of automated negotiators. It describes an innovative negotiating agent framework that e...
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Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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Edition: | 1st ed. 2016. |
Series: | Springer Theses, Recognizing Outstanding Ph.D. Research,
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Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Introduction
- Background
- A Component-based Architecture to Explore the Space of Negotiation Strategies
- Effective Acceptance Conditions
- Accepting Optimally with Incomplete Information
- Measuring the Performance of Online Opponent Models
- Predicting the Performance of Opponent Models
- A Quantitative Concession-Based Classification Method of Bidding Strategies
- Optimal Non-adaptive Concession Strategies
- Putting the Pieces Together
- Conclusion.