This paper proposes a method for leveraging large language models (LLMs) to improve the question-answering capabilities of artificial intelligence (AI) assistants for tradespace exploration. The method operates by querying an information space composed of fused data sources encompassing the tradespace exploration process and responding based on the gathered information. The information retrieval process is modeled as an internal dialog where an LLM-based dialog agent converses with a subquery answering agent. A case study is conducted on a next-generation soil moisture mission (SM-NG), and a generative AI assistant (named Daphne-G) is configured on it. The effect of the dialog agent and the choice of LLM are assessed by comparing the performance of three different system configurations on a validation question set. A second validation effort is conducted, comparing Daphne-G’s responses to those of a baseline template-based AI assistant, Daphne-VA. Results show that the dialog-based system is necessary for answering complex questions requiring multiple documents. Furthermore, results show that Daphne-G can correctly answer all the questions Daphne-VA can answer, while simultaneously being able to answer a greater number of questions than Daphne-VA. The results suggest that LLMs could significantly improve the outcomes of the tradespace exploration process, which may result in better and more cost-effective mission concepts being implemented.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Leveraging Large Language Models for Tradespace Exploration


    Beteiligte:
    Apaza, Gabriel (Autor:in) / Selva, Daniel (Autor:in)


    Erscheinungsdatum :

    2024-04-08


    Format / Umfang :

    19 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Rotorcraft Tradespace Exploration Incorporating Reliability Engineering

    Fiondella, Lance / Bhattacharya, Saikath / Nagaraju, Vidhyashree et al. | British Library Conference Proceedings | 2015


    Exploration of Support Methods for Tradespace Exploration

    Skowronska, Annette / Turner, Cameron / Gorsich, David et al. | SAE Technical Papers | 2023


    Revisiting the Tradespace Exploration Paradigm:Structuring the Exploration Process

    Ross, A. / McManus, H. / Rhodes, D. et al. | British Library Conference Proceedings | 2010



    Multi-Attribute Tradespace Exploration for Survivability

    Ross, Adam M. / Stein, David B. / Hastings, Daniel E. | AIAA | 2014