5 papers
The Geometry of Knowing: From Possibilistic Ignorance to Probabilistic Certainty -- A Measure-Theoretic Framework for Epistemic Convergence
Moriba Kemessia Jah
This paper develops a measure-theoretic framework establishing when and how a possibilistic representation of incomplete knowledge contracts into a probabilistic representation of…
The Epistemic Support-Point Filter: Jaynesian Maximum Entropy Meets Popperian Falsification
Moriba Kemessia Jah
This paper proves that the Epistemic Support-Point Filter (ESPF) is the unique optimal recursive estimator within the class of epistemically admissible evidence-only filters. Where…
The Epistemic Support-Point Filter (ESPF): A Bounded Possibilistic Framework for Ordinal State Estimation
Moriba Jah, Van Haslett
Traditional state estimation methods rely on probabilistic assumptions that often collapse epistemic uncertainty into scalar beliefs, risking overconfidence in sparse or adversaria…
Encrypted Computation of Collision Probability for Secure Satellite Conjunction Analysis
Jihoon Suh, Michael Hibbard, Kaoru Teranishi +3
The computation of collision probability () is crucial for space environmentalism and sustainability by providing decision-making knowledge that can prevent collisio…
L-DIT: A dApp for Live Detectability, Identifiability and Trackability for ASOs on the Behavioral Dynamics Blockchain
Anirban Chowdhury, Yasir Latif, Moriba K. Jah +1
As the number of Anthropogenic Space Objects (ASOs) grows, there is an urgent need to ensure space safety, security, and sustainability (S3) for long-term space use. Currently, no…