Toward Self-Referential Autonomous Learning of Object and Situation Models

Most current approaches to scene understanding lack the capability to adapt object and situation models to behavioral needs not anticipated by the human system designer. Here, we give a detailed description of a system architecture for self-referential autonomous learning which enables the refinement of object and situation models during operation in order to optimize behavior. This includes structural learning of hierarchical models for situations and behaviors that is triggered by a mismatch between expected and actual action outcome. Besides proposing architectural concepts, we also describe a first implementation of our system within a simulated traffic scenario to demonstrate the feasibility of our approach

Splenic injury following endoscopic retrograde cholangiopancreatography: a case report and literature review

Splenic injury following endoscopy is a rare but potentially fatal complication. While this has been found to occur more frequently after colonoscopy, splenic injury following endoscopic retrograde cholangiopancreatography (ERCP) remains highly uncommon since its first reported case in 1989. Indeed, there have been only 19 such cases reported in the English, German, and Spanish literature collectively over the past 27 years. We report on a 59-year-old woman who developed a peri-splenic haematoma diagnosed on abdominal computed tomography the day following ERCP and stenting for Mirizzi syndrome. The patient was treated conservatively and made a full recovery. We reviewed all cases of post-ERCP splenic injuries reported to date and discuss the published opinions on the likely mechanism of injury, predisposing factors, presenting features, investigation, and treatment options. Ultimately, patient outcome relies on clinical suspicion of this rare complication following ERCP