PRIMA 2022: Principles and Practice of Multi-Agent Systems

Robustness of Congestion Pricing in Traffic Networks with Link-specific Noise.- Explanation-based Negotiation Protocol for Health Coaching.- Cooperative driving at intersections through agent-based argumentation.- Dyadic Obligations: Proofs and Countermodels via Hypersequents.- On Normative Reinforcement Learning via Safe Reinforcement Learning.- Analysis of Carbon Neutrality Scenarios of Industrial Consumers Using Electric Power Market Simulations.- Task Allocation on Networks with Execution Uncertainty.- Incorporating AI methods in micro-dynamic analysis to support group-specific policy-making.- False-Name-Proof Facility Location on Wheel Graphs.- Improving Problem Decomposition and Regulation in Distributed Multi-Agent Path Finder (DMAPF).- Assume-Guarantee Verification of Strategic Ability.- Sample Complexity of Learning Multi-Value Opinions in Social Networks.- A Hybrid Model of Traffic Assignment and Control for Autonomous Vehicles.- MTIRL: Multi-trainer interactive reinforcementlearning system.- Action Languages Based Actual Causality in Decision Making Contexts.- Goal-oriented coordination with cumulative goals.- Optimal Parameter Selection Using Explainable AI for Time-Series Anomaly Detection.- Does Order Simultaneity Affect the Data Mining Task in Financial Markets? -- Effect Analysis of Order Simultaneity using Artificial Market.- Fine-grained Prediction and Control of Covid-19 Pandemic in a City: Application to Post-Initial Stages.- Preference Aggregation Mechanisms for a Tourism-Oriented Bayesian Recommender.- Weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness.- Learning to Classify Logical Formulas based on their Semantic Similarity.- Time Series Predictive Models for Opponent Behavior Modeling in Bilateral Negotiations.- An MCTS-based Algorithm to Solve Sequential CFGs on Valuation Structures.- The FastMap Pipeline for Facility Location Problems.- An Axiomatic Approach to