How to present MAS modelling work and results
cg.contributor.center | CGIAR Research Program on Dryland Systems - DS | en_US |
cg.contributor.crp | CGIAR Research Program on Dryland Systems - DS | en_US |
cg.contributor.funder | Not Applicable | en_US |
cg.coverage.end-date | 2015-10-15 | en_US |
cg.coverage.region | Global | en_US |
cg.coverage.start-date | 2015-06-01 | en_US |
cg.creator.id | Le, Quang Bao: 0000-0001-8514-1088 | en_US |
cg.subject.agrovoc | uncertainty | en_US |
dc.creator | Le, Quang Bao | en_US |
dc.date.accessioned | 2016-04-28T14:47:43Z | |
dc.date.available | 2016-04-28T14:47:43Z | |
dc.description.abstract | Communicating effectively the model and modeling results of complex social-ecological systems such as agricultural and livelihood systems is not an easy task. This visual-aided manual introduces a standard protocol to describe MAS model, which is an usual requirement in publications of MAS studies. It also suggest ways to present complexity-related properties that is often dealt by MAS modeling, such as: measuring uncertainties, detecting signals of phase shifts or tipping points, treating counter-intuitive patterns and causalities. Examples of real-world MAS studies were used for illustrating these discussing points. | en_US |
dc.format | en_US | |
dc.identifier | https://mel.cgiar.org/reporting/downloadmelspace/hash/WQZdh8uU/v/70cb4ca081c1c8cb43444bfcd2eeff7d | en_US |
dc.identifier.citation | Quang Bao Le. (15/10/2015). How to present MAS modelling work and results. | en_US |
dc.identifier.status | Open access | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11766/4710 | |
dc.language | en | en_US |
dc.rights | CC-BY-4.0 | en_US |
dc.subject | agent-based systems | en_US |
dc.subject | multi-agent systems (mas) | en_US |
dc.title | How to present MAS modelling work and results | en_US |
dc.type | Presentation | en_US |
dcterms.available | 2015-10-15 | en_US |