Recent Advances in Agent-Based Negotiation: Applications and Competition Challenges

Description

This book comprises carefully selected and reviewed outcomes of the 13th International Workshop on Automated Negotiations (ACAN) held in Vienna, 2022, in conjunction with International Joint Conference on Artificial Intelligence (IJCAI) 2022. It focuses on the applications and challenges of agent-based negotiation including agreement technology, mechanism design, electronic commerce, recommender systems, supply chain management, social choice theory, and others. This book is intended for the academic and industrial researchers of various communities of autonomous agents and multi-agent systems, as well as graduate students studying in those areas or having interest in them. 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 The 13th International Automated Negotiating Agent Competition Challenges and Results 1 Introduction 2 Automated Negotiation League 2.1 Background 2.2 Negotiation Problem 2.3 Challenge 2.4 Method 2.5 Submissions 3 Supply-Chain Management League 3.1 The OneShot Track 3.2 The Standard Track 3.3 The Collusion Track 3.4 Competition Mechanics 4 Competition Results 4.1 Automated Negotiation League Results 4.2 Supply-Chain Negotiation Results 5 Conclusion and Discussion References AhBuNe Agent: Winner of the Eleventh International Automated Negotiating Agent Competition (ANAC 2020) 1 Introduction 2 ANAC 2020 Negotiation Setting 3 Proposed Negotiation Strategy 3.1 Preference Elicitation 3.2 Estimating the Importance Order of the Issues 3.3 Opponent Modeling 3.4 Offering Strategy 3.5 Acceptance Strategy 4 Evaluation 4.1 Setup of the Tournament 4.2 Results 5 Conclusion References Agenda-Based Automated Negotiation Through Utility Decomposition 1 Introduction 2 Related Work 2.1 Automated Negotiation 2.2 Utility Functions 2.3 Interdependent Issues 2.4 Negotiation Protocols 2.5 Negotiation Platforms 3 The Divide-and-Conquer Approach 3.1 Decomposable Alternating Offers Protocol (DAOP) 3.2 Decomposition Mechanism in DAOP 4 Experiments 4.1 Experimental Settings 4.2 Agent Settings 4.3 Results 4.4 Discussion 5 Conclusion and Future Work References Concession Strategy Adjustment in Automated Negotiation Problems 1 Introduction 2 Parameters of Agents 3 Parameter Tuning Strategy 4 Experiments 4.1 Settings of Experiments 4.2 Results of Experiments 5 Discussion and Conclusion References Author Index