{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":25,"n_cols":5,"rows_kept":25,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[9,2,9,3],[19,2,19,3],[20,2,20,3],[22,2,22,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9911047692903321"]
[null,null,"Autore",null,"Mathieu Philippe"]
[null,null,"Titolo",null,"Advances in Practical Applications of Agents, Multi-Agent Systems, and Computational Social Science: The PAAMS Collection : 23rd International Conference, PAAMS 2025, Lille, France, June 25–27, 2025, Proceedings / / edited by Philippe Mathieu, Fernando De la Prieta"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026"]
[null,null,"ISBN",null,"3-032-07638-2"]
[null,null,"Edizione",null,"[1st ed. 2026.]"]
[null,null,"Descrizione fisica",null,"1 online resource (584 pages)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 16031"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Data structures (Computer science)"]
[{"$nulls":4},"Information theory"]
[{"$nulls":4},"Software engineering"]
[{"$nulls":4},"Computer engineering"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Structures and Information Theory"]
[{"$nulls":4},"Software Engineering"]
[{"$nulls":4},"Computer Engineering and Networks"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Main Track.  -- Transformer Based Models for Offline Multi-Agent Reinforcement Learning.  -- Theory and Practice of Natural Strategy Checking in Concurrent Games with Imperfect Information.  -- Optimizing road intersections using phase scheduling.  -- SysTemp: A Multi-Agent System for Template-Based Generation of SysML v2.  -- Evaluating Infrastructure-Less Cooperative Parking Guidance via Agent-Based Simulation.  -- Multi-Agent Reinforcement Learning with Automated Negotiation for Serial Supply Chain Management.  -- Royal FLush: a MAS-based platform for Decentralized Federated Learning based on SPADE agents.  -- Prioritized Path Planning for Multi-Agent Pickup and Delivery with Multi-Item Packing Problem.  -- Distribution Model: Separation of Concerns to Facilitate the Distribution of Agent-Based Models.  -- Towards an LLM-powered Social Digital Twinning Platform.  -- Knowledge Graph-Enhanced Multi-Agent Infrastructure "]
[{"$nulls":4},"for coupling physical and digital robotic environments.  -- Applying an Innovative TCN and Multi-Tasks SVM for Early Sepsis Prediction.  -- Towards understanding Complex Adaptive Systems: An illustration on urban logistics.  -- Efficient Assignment of Immediate Tasks Using Deep Reinforcement Learning in Multi-Agent Pickup and Delivery.  -- Towards a replicable synthetic population and agent-based transport model for Bavaria.  -- LDAS: Proposal for semi-optimal Storage Locations using LDA and SA  -- Influence of State Representation on Algorithmic Collusion under Deep Learning.  -- MASPY: A Python-Based Framework for Developing BDI Multi-Agent Systems.  -- Is Generative Artificial Intelligence Ready for Computational Social Science?.  -- Learning Controllability Using Destination Channels with Reward Navigation in Multi-Agent Systems.  -- A migration control approach to improve security for Open MAS in IoT networks.  -- Drone Swarms for Multi-Perspective Monitoring of Large Mammals in their Natural Habitats: Deployment and Field Trials.  -- An Identity Based Agent Model for AI Value Alignment.  -- Rasa4JaCa - A Communication Interface between Multi-agent Systems and Opensource Chatbot Technologies.  -- SPADE as a MAS framework for the development of Digital Twins.  -- TimeCIEL : Contextual Interactive Ensemble Learning for Time Series Classification.  -- Marketing Strategies and Context Effects.  -- DEMONSTRATIONS TRACK.  -- Why is intersection control such a difficult task? A demonstration.  -- Situated Agents in Action: Extending VEsNA with Spatial and Grabbable Artifacts.  -- On the Usability and Extensibility of VITAMIN.  -- Analysis, Implementation and Demonstration of the Nim Game Mathematical Winning Strategy.  -- Machine learning for decision support and automation in games: agent city navigation.  -- Planner-Guided Robot Swarm Demonstration with Natural Language Control.  -- Demonstration: WellProdSim Social Simulator Terrain Model.  -- From Console to Dashboard: A Demonstration of Real-Time Visualization for Social Simulation with WellProdSim.  -- CyberAIMs: Using Agent-based Modeling & Simulation to address Strategies in Cyberspace."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 23rd International Conference on Practical applications of Agents and Multi-Agent Systems, PAAMS 2025, held in Lille, France, during June 25–27, 2025. The 27 full papers and 9 short papers included in this book were carefully reviewed and selected from 57 submissions. The PAAMS 2025 proceedings focus on application and validation of agent-based models, methods, and technologies in a number of key application areas, including computational social science, digital twins, simulating complex systems, agents for social good, advanced models for learning, agent-based programming, distributed data analysis, automatic planning, decision-making, social interactions, formal and theoretic models, self-adaptation, mobile edge computing, swarms, and task allocation."]