Perspectives on Group Decision and Negotiation: Theory, Technology, and Practice
Description
This book constitutes the refereed proceedings of the 26th International Conference on Group Decision and Negotiation, GDN 2026, held in Katowice, Poland, during June 28-July 1, 2026.
The field of Group Decision and Negotiation focuses on decision processes with at least two participants and a common goal but conflicting individual goals. Research areas of Group Decision and Negotiation include electronic negotiations, experiments, the role of emotions in group decision and negotiations, preference elicitation and decision support for group decisions and negotiations, and conflict resolution principles.
The 15 full papers included in these proceedings were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: AI and Negotiation Analytics; Preference Modeling in Group Decision Contexts; and Conflict Resolution in Complex Decision Contexts.
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Content
.- AI and Negotation Analytics.
.- Negotiating the Small Stuff: AI Agents for Low-Stakes Group Decisions.
.- The Impact of Pre-Trained Language Models for Success Prediction in Digital Negotiations - A Comparative Analysis.
.- Soft Data Analytics in Academic Micro-Net Negotiation.
.- No Silver Bullet: Gains-Concessions Ratio and Outcomes in Bilateral Negotiations.
.- Ethnic Capital in AHP-Driven Preference Elicitation and Public Policy Negotiation.
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Preference Modeling in Group Decision Contexts.
.- MIDIA: A Dual-Reference Scoring Method for Multi-Issue Negotiation Support.
.- Surrogate Weights in Group MCDM Decisions.
.- Group Assessment of Overall Airline Customer Satisfaction from Online Reviews:A B-TOPSIS Approach.
.- Group Decision-Making in Occupational Health and Safety: An Application of the FITradeoff-GDSS.
.- Measuring Compromise in Voting Rules Under Polarization.
.- Active preference elicitation with temporal weighting for linguistic multi-attribute decision making.
.- Multiple Criteria Group Decision as a Rule-based Ensemble Classifier.
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Conflict Resolution in Complex Decision Contexts.
.- Conflict Analysis of China-US Trade Disputes Based on Quantitative Time-Varying Attitude Preferences.
.- Data-driven Conflict Analysis of Decision-makers' Combinatorial Behavior under Power Asymmetry.
.- A Conflict Index based on Inducement Correspondences and its application to 2×2 game classification.