Results 51 to 60 of about 56,442 (225)

The trajectory of delusions in patients with Alzheimer's disease receiving pharmacological treatment: A re-analysis of data from the CATIE-AD trial

open access: yesJournal of Alzheimer's Disease Reports
Background Previous studies have reported decreases in the proportion of patients with delusions and severity of delusions during long-term follow-up in Alzheimer's disease (AD).
Katsuharu Yano   +4 more
doaj   +1 more source

Embodied Predictions, Agency, and Psychosis

open access: yesFrontiers in Big Data, 2020
Psychotic symptoms, i.e., hallucinations and delusions, involve gross departures from conscious apprehension of consensual reality; respectively, perceiving and believing things that, according to same culture peers, do not obtain.
Pantelis Leptourgos, Philip R. Corlett
doaj   +1 more source

Cognitive and emotional processes in persecutory delusions [PDF]

open access: yes, 2013
Reliable and detailed descriptions of the content and emotions associated with persecutory delusions have been emphasized as important for the foundation of effective theoretical development and clinical practice. Two studies have directly examined these
Flood, Anneline D. C.
core   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter   +10 more
wiley   +1 more source

Delusions, cognitive biases and emotional priming [PDF]

open access: yes, 1996
Evidence has been accumulated to suggest that cognitive biases in reasoning and information processing would play an important role in the mechanism of delusions (Bentall, 1994; Garety & Hemsley, 1994).
Sueyoshi, Mika
core  

Scalable Task Planning via Large Language Models and Structured World Representations

open access: yesAdvanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari   +4 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Why the idea of framework propositions cannot contribute to an understanding of delusions [PDF]

open access: yes, 2008
One of the tasks that recent philosophy of psychiatry has taken upon itself is to extend the range of understanding to some of those aspects of psychopathology that Jaspers deemed beyond its limits.
Thornton, Tim, Tim Thornton
core   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

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