Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection : International Workshops of PAAMS 2023, Guimaraes, Portugal, July 12–14, 2023, Proceedings

This book constitutes the refereed proceedings of the International Workshops on Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection, PAAMS 2023, held in Guimaraes, Portugal, during July 12–14, 2023. The 14 full papers included in this book were carefully reviewed and selected from 26 submissions. They were organized in topical sections as follows: provides a unique opportunity to bring multi-disciplinary experts, academics, and practitioners together to exchange their experience in the development of agents and multi-agent systems. Preface Organization Contents Workshop on Adaptive Smart areaS and Intelligent Agents (ASSIA) Workshop on Adaptive Smart areaS and Intelligent Agents (ASSIA) Organization Organizing Committee Program Committee Agrobots Architecture and Agrobots-Sim Simulator for Dynamic Agri-Robot Coordination 1 Introduction 2 Preliminaries and State of the Art 3 Multi-agent Based Agrobots Architecture 4 Agrobots-SIM 4.1 Simulator Requirements for Agrorobot Applications 4.2 Patrolling_SIM 4.3 Agrobots-SIM: An Extension and Modification of Patrolling_SIM 5 Simulation Use-Case 6 Conclusions and Future Work References Improving Public Transportation Efficiency Through Accurate Bus Passenger Demand 1 Introduction 2 Data 2.1 Data Source 2.2 Pre-processing 3 Methods 3.1 Experiment Design 4 Results 4.1 Prediction Accuracy 5 Conclusions References Pre-processing Techniques and Model Aggregation for Plant Disease Prevention 1 Introduction 2 System Description 3 Experimental Setup 3.1 Preprocessing 3.2 Classification Fusion 3.3 Experiment Results 4 Conclusions and Future Work References A SPADE Multi-agent Application for Outdoor CO2 Monitoring 1 Introduction 2 State of Art 3 SPADE and SPADE Artifact Extension 4 Application to Case Study: CO2 PROJECT 5 Multi-agent System for CO2 Concentration Monitoring 5.1 Sensor Artifacts 5.2 Zone Agents 5.3 Dashboard Agent 5.4 Scalability and Adaptation of Application 6 Conclusions and Future Improvements References Blockchain-Enabled Reward System for Sustainable Last-Mile Delivery in Urban Logistics: A Case Study on SimFleet Platform 1 Introduction 2 Background 3 Proposed Framework 3.1 SimFleet Platform 3.2 Blockchain Implementation 3.3 Reward System 4 Discussion 5 Conclusion References Station Balancing System of a Bike Sharing System by Means of a Multi-agent System in Collaboration with the User’s Decision 1 Introduction 2 State of Art 3 Multi-agent System Architecture for Station Rebalancing of a Bike-Sharing System 3.1 Balancing System 3.2 User System 3.3 Simulation System 4 Case Study 4.1 Experimental Set-Up 4.2 Simulation Algorithm 4.3 Results 5 Conclusions and Future Work References Workshop on Character Computing (C2) Workshop on Character Computing (C2) Organization Organizing Committee Program Committee Ethical Self-driving Cars: Resolving Conflicting Moral Decisions Among Groups of Vehicles 1 Introduction 2 Building Blocks 2.1 Topic Language 2.2 Communication Language 3 System Design 3.1 Knowledge Base Builder 3.2 Dialogue Manager 3.3 Utterance Generator and Arguments Tracker 3.4 Argumentation Solver 3.5 Cutoff Timer Checker 4 Evaluation 5 Related Work 6 Conclusions and Future Work References Multi-modal Explainable Music Recommendation Based on the Relations Between Character and Music Listening Behavior 1 Introduction 2 Background and Related Work 3 Methodology 3.1 Data Gathering 3.2 Data Pre-processing and Analysis 4 Implementation 5 Experimental Design 6 Results and Discussion 7 Conclusion and Future Work References Character-Based Habit Recommender System*-4pt 1 Introduction 2 Related Work 3 Habit and Character Dataset 3.1 Data Collection 3.2 Data Pre-Processing 3.3 Data Analysis 3.4 Character-habit Data Gathered Results and Discussion 4 CHabit Recommendation System 4.1 System Architecture 4.2 Character Recognition Module 4.3 Recommender System Module 4.4 Habit Addition Module 4.5 Web Application Implementation 5 Testing and Evaluation 6 Results and Discussion 7 Conclusion References A Gamification of Psychological Tests for the Detection of Impaired Social Functioning 1 Introduction 2 Related Work 2.1 Social Anhedonia 2.2 Increased Altruistic Punishment 2.3 Diminished Cooperativeness 2.4 Reduced Empathy 2.5 Theory of Mind 3 Methodology 3.1 Game Design and Characters 3.2 Social Anhedonia 3.3 Increased Altruistic Punishment 3.4 Diminished Cooperativeness 3.5 Reduced Empathy 3.6 Theory of Mind (ToM) 4 Results and Analysis 5 Conclusion and Future Work References Workshop on Decision Support, Recommendation, and Persuasion in Artificial Intelligence (DeRePAI) Workshop on Decision Support, Recommendation, and Persuasion in Artificial Intelligence (DeRePAI) Organization Organizing Committee Program Committee Trust-based Negotiation in Multiagent Systems: A Systematic Review 1 Introduction 2 An Empirical Quantitative Analysis 3 Types of Trust in Negotiation 4 Challenges and Open Issues in Modeling Trust in Negotiation 5 Conclusion References Negotiation Algorithm for Multi-agent Pickup and Delivery Tasks 1 Introduction 2 Background and Related Work 3 Problem Definition 4 Rolling Horizon Negotiation 4.1 Negotiation Algorithm 4.2 Rolling Horizon Negotiation 5 Experimental Evaluation 5.1 Warehouse Overview 5.2 Tasks 5.3 Parameter Set 5.4 Results 6 Conclusions References Validating State-Wide Charging Station Network Through Agent-Based Simulation 1 Introduction 2 Materials and Methods 2.1 SimFleet 2.2 Genetic Algorithm 2.3 Experimental Setup 3 Experimental Results 3.1 Aborted Trips 3.2 Trip Deviation 3.3 Discussion 4 Conclusions References Challenges and Solutions in Large-Scale News Recommenders 1 Introduction 2 Challenges Faced in News Recommenders 2.1 Recency 2.2 Cold-Start 2.3 Dynamic Context 3 Strategies to Overcome News Recommender Challenges 3.1 Combining Recency with User Preferences 3.2 Session-Based Methods 3.3 Fallback Models 3.4 Measuring Cold-Start in Item-Based Recommendations 3.5 Reinforcement Learning-Based Approaches 4 Conclusion References Author Index