Recent Advances in Agent-based Negotiation: Formal Models and Human Aspects

Preface
Contents
Editors and Contributors
Human Aspects in Agent-based Negotiation
Effect of Awareness of Other Side's Gain on Negotiation Outcome, Emotion, Argument, and Bidding Behavior
1 Introduction
2 Related Work
3 Human–Human Negotiation
3.1 Awareness of Opponent's Gain
3.2 Emotions in Negotiation
3.3 Argumentation in Negotiation
4 Bidding Behavior
5 Structured Human Negotiations
6 Experimental Evaluation
6.1 Experimental Setup
6.2 Analysis of Negotiation Outcome
6.3 Analysis of Arguments
6.4 Analysis of Bidding Behavior
6.5 Analysis of Emotion
6.6 Analysis of Questionnaire
7 Conclusion and Future Work
References
Facilitation in Abstract Argumentation with Abstract Interpretation
1 Introduction
1.1 Abstract Interpretation as Facilitation
2 Technical Preliminaries
2.1 Abstract Argumentation
2.2 Order and Galois Connection for Abstract Interpretation
3 Argumentation Frameworks for Abstraction
3.1 Lattices
3.2 Abstraction and Concretisation
3.3 Computation of Abstract Space Argumentation Frameworks from a Concrete Space Argumentation Framework
3.4 Preferred Sets in Concrete and Abstract Spaces
3.5 Comparisons to Dung Preferred Semantics and cf2 Semantics, and Observations
4 Conclusion with Related Work
4.1 Related Work
4.2 Conclusion
References
How to Recognize and Explain Bidding Strategies in Negotiation Support Systems
1 Introduction
2 Related Work
3 Typical Bidding Strategies
4 Bids, Utilities and Moves
4.1 Optimal Bidding Strategy Recognition
5 Expectations and Aberrations
6 Generating Explanations
7 Evaluation
7.1 Preparation
7.2 Conditions
7.3 Metrics
8 Results
8.1 Pilot 1
8.2 Pilot 2
8.3 Full Experiment
9 Conclusion
References
Negotiation Frameworks, Strategies, and Recommenders
NegMAS: A Platform for Situated Negotiations
1 Introduction
2 Situated Negotiations
3 System Design
3.1 Issues and Outcomes
3.2 Utility Functions
3.3 Negotiators
3.4 Controllers
3.5 Agents
3.6 Mechanisms
3.7 Worlds
4 Tools and Common Components
5 Applications: Focus on SCML
6 Using NegMAS for Developing SCM Agents
7 Conclusions
References
Can a Reinforcement Learning Trading Agent Beat Zero Intelligence Plus at Its Own Game?
1 Introduction
2 Trading Agents
2.1 ZI Agents
2.2 ZIP Agents
2.3 RL Agents (ZIQ+)
3 Setup
4 Results
5 Conclusions
References
Negotiation in Hidden Identity: Designing Protocol for Werewolf Game
1 Introduction
2 Background
2.1 Werewolf Game: Hidden Identity in Communication Game
2.2 Game AI Studies: From Chess to Werewolf
3 Model of Werewolf Games
3.1 Basic Rule on Close-Rule Werewolf Game
3.2 Lack of Objective Resources
3.3 Reasoning for Modeling the Intentions of Others
3.4 Persuasion as Modeling Self from the Perspective of Others
3.5 Requirements for a Werewolf Game Protocol
4 Werewolf Game Protocol
4.1 Word
4.2 Sentence
4.3 Operator
4.4 Grammar Notes
4.5 About Omitting Subjects (UNSPEC)
4.6 Example Sentences
5 Conclusion
References
Multi-Agent Recommender System
1 Introduction
2 Literature Review
2.1 Machine Learning (ML)
2.2 Recommender Systems (RS)
3 The MARS Recommender System
3.1 MARS Architecture
3.2 Training and Test Data
3.3 The Manager Agent
4 Experimental Evaluation
4.1 Dataset
4.2 Data Pre-processing
4.3 Implementation Environment
4.4 Evaluation Metrics
5 Performance Analysis of MARS
5.1 Performance of the Components MARS
5.2 A Comparison of MARS with Other Systems
6 Conclusion and Future Work
References