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Table of Contents
Intro
About the Book
Contents
About the Editors
Applications and Decision Support in Agent-Based Negotiation
Distributed Multi-agent Negotiation for Wi-Fi Channel Assignment
1 Introduction
2 Wi-Fi Channel Assignment: A Challenging Negotiation Domain
2.1 Wi-Fi Performance and Utility
2.2 Mediated Negotiation for Wi-Fi Channel Assignment
3 Unmediated Techniques for Wi-Fi Channel Negotiation
3.1 Estimating Utility Through the Graph Model
3.2 Annealing Exploration
3.3 SAOP-Based Unmediated Negotiation
3.4 MOPaC-Based Unmediated Negotiation
4 Experimental Evaluation
4.1 Considered Scenario
4.2 Experimental Settings
4.3 Experimental Results
5 Conclusions and Future Work
References
On Implementing a Simulation Environment for a Cooperative Multi-agent Learning Approach to Mitigate DRDoS Attacks
1 Introduction
1.1 Attackers Assumed in This Research
1.2 Assumed Approach to Overcome the Strategic Attacks
1.3 The Aim
2 Modeling DRDoS
2.1 Overview of DRDoS Attacks
2.2 Modeling Attackers and Defenders
2.3 An Overview of DRDoS Attacks Considered in This Research for Evaluation
3 A Method for Realizing Learning Mechanisms
3.1 The Need for Dynamic Flow Data Generation
3.2 Generating DRDoS Attacks
3.3 Realizing the Filtering Behavior
3.4 Getting Observation Values
3.5 Realizing a Simulator
3.6 The Devices Used for the Simulation
4 Experimental Reproduction of Packet Flows of DRDoS Attacks
4.1 Experiment Environment
4.2 Experimental Evaluation
5 Related Work and Discussion
6 Conclusion
References
A Survey of Decision Support Mechanisms for Negotiation
1 Introduction
2 Related Work
3 Decision Support Mechanisms for Negotiations
3.1 Categorizations and Classifications
3.2 Existing Support Mechanisms
3.3 Available Decision Support Systems for Negotiation
4 Conclusions and Future Work
References
Bidding Support by the Pocket Negotiator Improves Negotiation Outcomes
1 Introduction
2 Economic Decision Support for Negotiation by PN
3 Research Hypotheses
4 User Experiments
4.1 Experimental Setup
4.2 The Adaptation of PN for the Support and No-Support Conditions
4.3 Evaluation Metrics
5 Results
5.1 Negotiation Outcome Results
5.2 Usage of Bidding Support Mechanisms
5.3 Results of the Participant Questionnaire
6 Discussion
6.1 Utility Gain with PN
6.2 The Impact of PN on Cognitive Depletion
6.3 Learning Effect
6.4 The Effect of Training
6.5 The Impact of Design Choices
6.6 Limitations
7 Conclusions and Future Work
A The Pocket Negotiator
Job Negotiation Description
B Online Questionnaire
B.1 List of Questions
B.2 ANOVA analyis of the Questionnaire Results
C Self-Play in PN and Individual Outcomes
References
Automated Negotiating Agent Competition
About the Book
Contents
About the Editors
Applications and Decision Support in Agent-Based Negotiation
Distributed Multi-agent Negotiation for Wi-Fi Channel Assignment
1 Introduction
2 Wi-Fi Channel Assignment: A Challenging Negotiation Domain
2.1 Wi-Fi Performance and Utility
2.2 Mediated Negotiation for Wi-Fi Channel Assignment
3 Unmediated Techniques for Wi-Fi Channel Negotiation
3.1 Estimating Utility Through the Graph Model
3.2 Annealing Exploration
3.3 SAOP-Based Unmediated Negotiation
3.4 MOPaC-Based Unmediated Negotiation
4 Experimental Evaluation
4.1 Considered Scenario
4.2 Experimental Settings
4.3 Experimental Results
5 Conclusions and Future Work
References
On Implementing a Simulation Environment for a Cooperative Multi-agent Learning Approach to Mitigate DRDoS Attacks
1 Introduction
1.1 Attackers Assumed in This Research
1.2 Assumed Approach to Overcome the Strategic Attacks
1.3 The Aim
2 Modeling DRDoS
2.1 Overview of DRDoS Attacks
2.2 Modeling Attackers and Defenders
2.3 An Overview of DRDoS Attacks Considered in This Research for Evaluation
3 A Method for Realizing Learning Mechanisms
3.1 The Need for Dynamic Flow Data Generation
3.2 Generating DRDoS Attacks
3.3 Realizing the Filtering Behavior
3.4 Getting Observation Values
3.5 Realizing a Simulator
3.6 The Devices Used for the Simulation
4 Experimental Reproduction of Packet Flows of DRDoS Attacks
4.1 Experiment Environment
4.2 Experimental Evaluation
5 Related Work and Discussion
6 Conclusion
References
A Survey of Decision Support Mechanisms for Negotiation
1 Introduction
2 Related Work
3 Decision Support Mechanisms for Negotiations
3.1 Categorizations and Classifications
3.2 Existing Support Mechanisms
3.3 Available Decision Support Systems for Negotiation
4 Conclusions and Future Work
References
Bidding Support by the Pocket Negotiator Improves Negotiation Outcomes
1 Introduction
2 Economic Decision Support for Negotiation by PN
3 Research Hypotheses
4 User Experiments
4.1 Experimental Setup
4.2 The Adaptation of PN for the Support and No-Support Conditions
4.3 Evaluation Metrics
5 Results
5.1 Negotiation Outcome Results
5.2 Usage of Bidding Support Mechanisms
5.3 Results of the Participant Questionnaire
6 Discussion
6.1 Utility Gain with PN
6.2 The Impact of PN on Cognitive Depletion
6.3 Learning Effect
6.4 The Effect of Training
6.5 The Impact of Design Choices
6.6 Limitations
7 Conclusions and Future Work
A The Pocket Negotiator
Job Negotiation Description
B Online Questionnaire
B.1 List of Questions
B.2 ANOVA analyis of the Questionnaire Results
C Self-Play in PN and Individual Outcomes
References
Automated Negotiating Agent Competition