{
  "abstract": "Information is typically treated as an exogenous component of multi-agent decision making, with agents adapting their behavior to observations generated by fixed sensing models. We challenge this assumption by introducing a geometry-aware pursuit-evasion framework in which sensing becomes an endogenous strategic variable. By coupling geometry-dependent observations, Bayesian belief updates, and stochastic Quantal Best-Response dynamics, we show that strategic motion reshapes the information available to opponents and deforms the resulting equilibrium structure. We characterize the limits of this information manipulation through Fisher information bounds, showing that sensing geometry constrains achievable belief distortion and the emergence of phantom regions. Experiments in continuous pursuit-evasion environments demonstrate that geometry variations reshape belief trajectories, modify equilibrium configurations, and reveal a fundamental tradeoff between physical evasion and information manipulation.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "name": "Hélène Le Cadre"
    },
    {
      "name": "Ava Sedighi"
    },
    {
      "name": "Frédy Pokou"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/bjz15snrycjrx.bib",
  "cited_by": 0,
  "doi": null,
  "fulltext_url": null,
  "id": "bjz15snrycjrx",
  "issns": [],
  "landing_url": "https://inria.hal.science/hal-05758551v2",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.info"
    ],
    [
      "hal",
      "0.math"
    ],
    [
      "hal",
      "1.info.info-ma"
    ],
    [
      "hal",
      "1.math.math-oc"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://inria.hal.science/hal-05758551/document",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-24",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/bjz15snrycjrx.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:40Z",
      "native_id": "hal-05758551",
      "source": "hal",
      "url": "https://inria.hal.science/hal-05758551v2"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "hal:1.math.math-oc",
      "subfield": "optimisation-control"
    }
  ],
  "title": "When Geometry Shapes Information in Pursuit-Evasion Games",
  "title_text": "When Geometry Shapes Information in Pursuit-Evasion Games",
  "type": "preprint",
  "updated_at": "2026-10-30T12:17:40Z",
  "url": "https://research.draconitic.com/paper/bjz15snrycjrx",
  "venue": "HAL",
  "versions": []
}