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A Rational Distributed Process-level Account of Independence Judgment
In this work, we present the first rational, distributed, message-passing, process-level account of independence judgment, called $\mathcal{D}^\ast$.
The Causal Frame Problem: An Algorithmic Perspective
The Frame Problem (FP) is a puzzle in philosophy of mind and epistemology, articulated by the Stanford Encyclopedia of Philosophy as follows: "How do we account for our apparent ability to make decisions on the basis only of what is relevant to an ongoing situation without having explicitly to consider all that is not relevant?"
Probabilistic Structural Controllability in Causal Bayesian Networks
More specifically, the aim of this paper is two-fold: (i) to introduce and formalize the problem of probabilistic structural controllability in CBNs, and (ii) to identify a sufficient set of driver variables for the purpose of probabilistic structural controllability of a generic CBN.
Multi-Context Models for Reasoning under Partial Knowledge: Generative Process and Inference Grammar
Arriving at the complete probabilistic knowledge of a domain, i. e., learning how all variables interact, is indeed a demanding task.
