Multi-Agent-Based Simulation XXV
Multi-Agent-Based Simulation XXV
25th International Workshop, MABS 2024, Auckland, New Zealand, May 6, 2024, Revised Selected Papers
Stankov, Ivana; Thompson, Jason
Springer International Publishing AG
05/2025
99
Mole
Inglês
9783031880162
Pré-lançamento - envio 15 a 20 dias após a sua edição
.- Creating a Serious Game on top of an Agent-Based Simulation, an applied case to crisis management and population evacuation.
.- GENSIMO - A Generic Framework for Modelling Social Insurance Systems.
.- Are Low Emission Zones Effective in Reducing Emissions and Ambient Air Pollution?.
.- MABS Education.
.- Teaching Agent-based Modeling for Simulating Social Systems - A Research-based Learning Approach.
.- MABS Applications.
.- KEMASS: Knowledge-Enhanced Multi-Agent simulation for energy Scheduling Support.
.- Inverse Generative Approach for Identifying Agent-Based Models from Stochastic Primitives.
.- Inferring pedestrian decision-making through inverse reinforcement learning.
.- Creating a Serious Game on top of an Agent-Based Simulation, an applied case to crisis management and population evacuation.
.- GENSIMO - A Generic Framework for Modelling Social Insurance Systems.
.- Are Low Emission Zones Effective in Reducing Emissions and Ambient Air Pollution?.
.- MABS Education.
.- Teaching Agent-based Modeling for Simulating Social Systems - A Research-based Learning Approach.
.- MABS Applications.
.- KEMASS: Knowledge-Enhanced Multi-Agent simulation for energy Scheduling Support.
.- Inverse Generative Approach for Identifying Agent-Based Models from Stochastic Primitives.
.- Inferring pedestrian decision-making through inverse reinforcement learning.