Name
Title | ||
|---|---|---|
Individual Level Analysis Using Decision Making Features in Multiagent Based Simulation |
Abstract | ||
|---|---|---|
We introduce a set of evaluation tools in the framework of individual level analysis for multiagent based simulations. These tools are intended to overcome the weak points of multiagent systems: that it is difficult to avoid mistakes in description and arbitrary modeling; and to find reliable explanations of causal relationships between the model and its result. We analyze some artificial market models using an evaluation process that consists of the evaluation of initial learning maturity, discrimination between models, and the visualization of attention tendency in a group. We conclude that these analytical methods are useful for the evaluation of multiagent based simulations in terms of validation and finding causal relations. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-45680-5_3 | PRIMA |
Keywords | Field | DocType |
evaluation process,individual level analysis,causal relationship,artificial market model,causal relation,evaluation tool,arbitrary modeling,multiagent system,attention tendency,analytical method | Causality,Causal relations,Visualization,Multiagent based simulation,Computer science,Decision support system,Multi-agent system,Artificial intelligence,Machine learning,Artificial market | Conference |
Volume | ISSN | ISBN |
2413 | 0302-9743 | 3-540-44026-7 |
Citations | PageRank | References |
1 | 0.40 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomomi Takashina | 1 | 7 | 6.30 |
| Kazuhide Tanaka | 2 | 1 | 0.73 |
| Shigeyoshi Watanabe | 3 | 15 | 7.42 |