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Achieving Adaptive Safety via Trust Building in Autonomous Ecosystems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00135845" target="_blank" >RIV/00216224:14330/24:00135845 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-031-63851-0_12" target="_blank" >http://dx.doi.org/10.1007/978-3-031-63851-0_12</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-63851-0_12" target="_blank" >10.1007/978-3-031-63851-0_12</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Achieving Adaptive Safety via Trust Building in Autonomous Ecosystems

  • Original language description

    The evolving landscape of autonomous cyber-physical systems is progressing towards cooperative ecosystems. These complex structures, characterized by dynamic interactions among various autonomous systems, offer heightened autonomy and adaptability but pose substantial challenges in ensuring safety. The swift development of autonomous driving underlines the urgency to address these issues. Existing safety assurance methods, while effective on an individual level, struggle to encompass the complexities of dynamic ecosystems. To bridge this gap, this paper advocates for adaptive safety mechanisms informed by trust and trustworthiness between ecosystem members and proposes a path towards a method ensuring adaptive safety.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Technological Innovation for Human-Centric Systems. DoCEIS 2024. IFIP Advances in Information and Communication Technology, vol 716.

  • ISBN

    9783031638503

  • ISSN

    1868-4238

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    181-191

  • Publisher name

    Springer Cham

  • Place of publication

    Caparica, Portugal

  • Event location

    Caparica, Portugal

  • Event date

    Jan 1, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article