Computational adversarial risk analysis for general security games
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866918044357361664 |
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| author | Camacho, Jose Manuel Naveiro, Roi Insua, David Rios |
| author_facet | Camacho, Jose Manuel Naveiro, Roi Insua, David Rios |
| contents | This paper provides an efficient computational scheme to handle general security games from an adversarial risk analysis perspective. Two cases in relation to single-stage and multi-stage simultaneous defend-attack games motivate our approach to general setups which uses bi-agent influence diagrams as underlying problem structure and augmented probability simulation as core computational methodology. Theoretical convergence and numerical, modeling, and implementation issues are thoroughly discussed. A disinformation war case study illustrates the relevance of the proposed approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_02603 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Computational adversarial risk analysis for general security games Camacho, Jose Manuel Naveiro, Roi Insua, David Rios Computer Science and Game Theory 91A27 G.3; I.6 This paper provides an efficient computational scheme to handle general security games from an adversarial risk analysis perspective. Two cases in relation to single-stage and multi-stage simultaneous defend-attack games motivate our approach to general setups which uses bi-agent influence diagrams as underlying problem structure and augmented probability simulation as core computational methodology. Theoretical convergence and numerical, modeling, and implementation issues are thoroughly discussed. A disinformation war case study illustrates the relevance of the proposed approach. |
| title | Computational adversarial risk analysis for general security games |
| topic | Computer Science and Game Theory 91A27 G.3; I.6 |
| url | https://arxiv.org/abs/2506.02603 |