Name
Title | ||
|---|---|---|
Combining fuzzy cognitive maps with agent-based modeling: Frameworks and pitfalls of a powerful hybrid modeling approach to understand human-environment interactions. |
Abstract | ||
|---|---|---|
Agent-based modeling (ABM) is an established technique to capture human-environment interactions in socio-ecological systems. As a micro-model, it explicitly represents each agent, such that heterogeneous decision-making processes (e.g. based on the beliefs and experiences of stakeholders) can anticipate the socio-environmental consequences of aggregated individual behaviors. In contrast to ABM, Fuzzy Cognitive Mapping takes a macro-level view of the world that represents causal connections between concepts rather than individual entities. Researchers have expressed interest in reconciling the two, i.e. taking a hybrid approach and drawing of the strengths of each to more accurately model socio-ecological interactions. The intuition is to take FCMs, which can be quickly developed using participatory modeling tools and use them to create a virtual population of agents with sophisticated decision-making processes. In this paper, we detail two ways in which this combination can be done, and highlight the key questions that modelers need to be mindful of. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.envsoft.2017.06.040 | Environmental Modelling & Software |
Keywords | Field | DocType |
Agent based model,Fuzzy cognitive maps,Hybrid modeling | Population,Cognitive map,Agent-based model,Computer science,Fuzzy logic,Fuzzy cognitive map,Intuition,Participatory modeling,Management science | Journal |
Volume | ISSN | Citations |
95 | 1364-8152 | 6 |
PageRank | References | Authors |
0.41 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Philippe J. Giabbanelli | 1 | 116 | 20.19 |
| Steven A. Gray | 2 | 31 | 4.01 |
| Payam Aminpour | 3 | 6 | 0.41 |