MASON: A Multiagent Simulation Environment
Simulation
EPICURE: Spatial and Knowledge Limitations in Group Foraging
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
A framework for agent-based simulation in tourism planning
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: towards mobile and intelligent interaction environments - Volume Part III
| Hi-index | 0.00 |
A major challenge in the development of computational models of collective behavior is the empirical validation. Experimental data from a spatially explicit dynamic commons dilemma experiment is used to empirically ground an agent-based model. Three distinct patterns are identified in the data. Two na脙炉ve models, random walk and greedy agents, do not produce data that match the patterns. A more comprehensive model is presented that explains how participants make movement and harvest decisions. Using pattern-oriented modeling the parameter space is explored to identify the parameter combinations that meet the three identified patterns. Less than 0.1% of the parameter combinations meet all the patterns. These parameter settings were used to successfully predict the patterns of a new set of experiments.