{"id":1722,"date":"2023-11-14T12:29:00","date_gmt":"2023-11-14T11:29:00","guid":{"rendered":"https:\/\/www.nlr.org\/symbolic-logic-framework-for-situational-awareness-in-mixed-autonomy-symaware\/"},"modified":"2024-12-18T13:45:52","modified_gmt":"2024-12-18T12:45:52","slug":"symbolisch-logisch-kader-voor-situationeel-bewustzijn-in-gemengde-autonomie-symaware","status":"publish","type":"post","link":"https:\/\/www.nlr.org\/nl\/newsroom\/case\/symbolisch-logisch-kader-voor-situationeel-bewustzijn-in-gemengde-autonomie-symaware\/","title":{"rendered":"Symbolisch logisch kader voor situationeel bewustzijn in gemengde autonomie (SymAware)"},"content":{"rendered":"\n

Er zal een grote toename zijn in het aantal lucht- en grondvoertuigen die volledig autonoom kunnen opereren of in hoge mate geautomatiseerd zijn, waarbij alleen in bijzondere omstandigheden menselijke tussenkomst nodig is. Bij steeds autonomere operaties kan niet langer worden gerekend op het situationeel bewustzijn, het risicobewustzijn en de ervaring van menselijke operators die tot nu toe een cruciale rol speelden.<\/strong><\/strong><\/p>\n\n\n\n

De uitdaging<\/h2>\n\n\n\n

SymAware speelt in op de fundamentele behoefte aan een nieuw conceptueel kader voor bewustzijn in multi-agent systemen dat compatibel is met de interne modellen en specificaties van ‘robotic agents<\/em>‘ en dat veilige, gelijktijdige werking van samenwerkende autonome agenten en mensen mogelijk maakt. Het doel van SymAware is om een uitgebreid kader voor situationeel bewustzijn te bieden ter ondersteuning van duurzame autonomie via agenten die actief risico’s waarnemen en samenwerken met andere robots en mensen om hun bewustzijn en begrip te verbeteren, terwijl ze complexe en dynamisch veranderende taken uitvoeren.<\/p>\n\n\n\n

\n

De oplossing<\/h2>\n\n\n\n

Het SymAware-kader, gebaseerd op compositionele logica, symbolische berekeningen, formeel redeneren en onzekerheidskwantificering, zal het situationele bewustzijn van multi-agentsystemen karakteriseren en ondersteunen door het bewustzijn in de verschillende dimensies formeel te modelleren en te specificeren, bewustzijn in stand te houden door te leren in een sociale context, risico’s te kwantificeren op basis van beperkte kennis, en risicobewuste onderhandelingen over taakverdelingen te formuleren.<\/p>\n<\/div>\n\n\n\n

Wat doen wij?<\/h2>\n\n\n\n
\n
\n

De SymAware-aanpak voor bewustzijnsengineering wordt ge\u00efmplementeerd en gevalideerd in verschillende toepassingen. Koninklijke NLR gaat een toepassing ontwikkelen voor het modelleren, simuleren en beoordelen van het onbemande luchtverkeersmanagement van drone-operaties in een stedelijke omgeving, inclusief verstoringen en gevaren tijdens de operaties.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Het computationele kader, gebaseerd op compositionele logica, symbolische berekeningen, formeel redeneren en kwantificering van onzekerheid, maakt het mogelijk om risico’s en veiligheid expliciet en op een kwantificeerbare manier aan te pakken.<\/p>\n\n\n\n

Voor meer informatie over het SymAware-project, kijk hier.<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n

\n
\n
\n
\n

Project partners:<\/strong>
MPI-SWS, TU\/e, KTH, UU, NLR, Siemens<\/em><\/p>\n<\/div>\n\n\n\n

\n
\"\"<\/figure>\n\n\n\n

Dit project heeft financiering ontvangen van Horizon Europe – het kaderprogramma voor onderzoeks- en innovatie van de Europese Unie, subsidieovereenkomst 101070802<\/em><\/em><\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Er zal een grote toename zijn in het aantal lucht- en grondvoertuigen die volledig autonoom kunnen opereren of in hoge mate geautomatiseerd zijn, waarbij alleen in bijzondere omstandigheden menselijke tussenkomst nodig is. 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