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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.16294 |
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| _version_ | 1866911964904554496 |
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| author | Nallur, Vivek Aghaei, Pedram Finlay, Graham |
| author_facet | Nallur, Vivek Aghaei, Pedram Finlay, Graham |
| contents | This paper demonstrates a disconnected ABM architecture that enables domain experts, and non-programmers to add qualitative insights into the ABM model without the intervention of the programmer. This role separation within the architecture allows policy-makers to systematically experiment with multiple policy interventions, different starting conditions, and visualizations to interrogate their ABM |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_16294 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | (Demo) Systematic Experimentation Using Scenarios in Agent Simulation: Going Beyond Parameter Space Nallur, Vivek Aghaei, Pedram Finlay, Graham Multiagent Systems This paper demonstrates a disconnected ABM architecture that enables domain experts, and non-programmers to add qualitative insights into the ABM model without the intervention of the programmer. This role separation within the architecture allows policy-makers to systematically experiment with multiple policy interventions, different starting conditions, and visualizations to interrogate their ABM |
| title | (Demo) Systematic Experimentation Using Scenarios in Agent Simulation: Going Beyond Parameter Space |
| topic | Multiagent Systems |
| url | https://arxiv.org/abs/2407.16294 |