Hypothesis Management In Support Of Inferential Reasoning

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HYPOTHESIS MANAGEMENT IN SUPPORT OF INFERENTIAL …

    https://apps.dtic.mil/dtic/tr/fulltext/u2/a525233.pdf
    Hypothesis Management is the control of exponential growth in fusion hypotheses created by incoming data reports, without which the computational capability of hardware is quickly overwhelmed. This paper explores our research on Hypothesis Management techniques in support of inferential reasoning.

Hypothesis Management in Support of Inferential Reasoning

    https://www.researchgate.net/publication/235040195_Hypothesis_Management_in_Support_of_Inferential_Reasoning
    research on Hypothesis Management techniques in support of inferential reasoning. More specifically, we focus on managing the creation, modification, administration, storage and movement of ...

Hypothesis Management in support of Inferential Reasoning

    http://www.dodccrp.org/events/15th_iccrts_2010/presentations/063.pdf
    Hypothesis Management Module The Hypothesis Management Module manages the creation, modification, administration and movement of hypotheses between the Knowledge Storage Module and the Model Workspace in response to tasks assigned by the Reasoning Controller.

An Ontology for Hypothesis Management in the Maritime …

    http://seor.vse.gmu.edu/~klaskey/papers/An%20Ontology%20for%20Hypothesis%20Management%20in%20the%20Maritime%20Domain_110131.pdf
    An Ontology for Hypothesis Management in the Maritime Domain ... geography, environment, and the geopolitical situation. Advanced decision support systems will provide the decision maker with a number of hypotheses from which the evolving ... must be updated with incoming track data and queried for inferential reasoning candidates meeting the ...

An Ontology for Hypothesis Management in the Maritime …

    https://apps.dtic.mil/dtic/tr/fulltext/u2/a547073.pdf
    data and queried for inferential reasoning candidates meeting the System Operator’s request. This paper summarizes our research results and delineates the planned interaction of the Hypothesis Management Engine with an inferential reasoning system. I. Introduction

CiteSeerX — Topic 9: C2

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.637.7368
    Hypothesis Management is the control of exponential growth in fusion hypotheses created by incoming data reports, without which the computational capability of hardware is quickly overwhelmed. This paper explores our research on Hypothesis Management techniques in support of inferential reasoning.

A MODEL BASED SYSTEMS ENGINEERING APPROACH TO …

    http://seor.vse.gmu.edu/~klaskey/papers/ICMBSE_2010_Haberlin_etal.pdf
    for inferential reasoning, reducing computational overhead. Phase II is the development and which provides innovative System Operator decision support in the form of hypothesis trends and original hypothesis recognition. The two component engines of the …

(PDF) An Ontology for Hypothesis Management in the ...

    https://www.academia.edu/3129769/An_Ontology_for_Hypothesis_Management_in_the_Maritime_Domain
    This may reduce the complexity considerably. Interaction of HME with Inferential Reasoning Engine Recall the primary purpose of the Hypothesis Management Engine is to promote nomination of new hypotheses from incoming data and to retrieve appropriate candidates for inferential reasoning in response to an operator query.

An Ontology for Hypothesis Management in the Maritime …

    http://www.dodccrp.org/events/16th_iccrts_2011/presentations/147.pdf
    An Ontology for Hypothesis Management in the Maritime Domain. 2. Agenda • Hypothesis Framework ... – Initiates the inferential reasoning process – Used to search for candidate hypotheses ... “Hypothesis Management In Support of Inferential Reasoning,” in Proceedings of the 15th International Command and Control Research Symposium ...

CiteSeerX — in the Maritime Domain

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.381.7905
    The effectiveness of the Hypothesis Management Engine is evaluated through simulation of a contextually accurate, randomly generated Hypothesis Knowledge Base which must be updated with incoming track data and queried for inferential reasoning …



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