An Artificial Network Simulating Cause-to-Effect Reasoning - SpringerLink
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First, we extend an existing neural model to handle cancellation interactions. Second, we test the model on a large database and propose objective criteria to ...
The present work is twofold. First, we extend an existing neural model to handle cancellation interactions. Second, we test the model on a large database and ...
An artificial network simulating cause-to-effect reasoning: cancellation interactions and numerical studies. Authors: L. B. Romdhane. L. B. Romdhane. View ...
An existing neural model is extended to handle cancellation interactions and objective criteria to quantitatively evaluate the scenarios (explanations) ...
An Artificial Network Simulating Cause-to-Effect. Reasoning: Cancellation Interactions and. Numerical Studies. L. B. Romdhane, B. Ayeb and S. Wang. Department ...
Cancellation occurs when a set of causes (hypotheses) cancel each other's explanation with respect to a given effect (observation). For example, a cloudy sky ...
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Feb 27, 2024 · In this work, we develop a neural model to solve causal reasoning problems (also called abduction) in the open, independent, ...
Mar 1, 2001 · An artificial network simulating cause-to-effect reasoning: cancellation interactions and numerical studies · Author Picture L. B. Romdhane ...
... Artificial Network Simulating Cause-to-Effect Reasoning: Cancellation Interactions and Numerical Studies by L. Ben Romdhane, B. Ayeb, and S. Wang URL link ...
... Artificial Network Simulating Cause-to-Effect Reasoning: Cancellation Interactions and Numerical Studies by L. Ben Romdhane, B. Ayeb, and S. Wang URL link ...
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