Results 41 to 50 of about 3,092 (254)

Some Aspects of Polyadic Inductive Logic [PDF]

open access: yes, 2008
We give a brief account of some de Finetti style representation theorems for probability functions satisfying Spectrum Exchangeability in Polyadic Inductive Logic, together with applications to Non-splitting, Language Invariance, extensions with ...
J. Landes, J. Paris, A. Vencovská
core   +1 more source

Medical Reasoning With Large Language Models: A Systematic Review and Evaluation

open access: yesiNew Medicine, EarlyView.
ABSTRACT Large language models (LLMs) have achieved strong performance on medical exam–style tasks, motivating growing interest in their deployment in real‐world clinical settings. However, clinical decision‐making is inherently safety‐critical, context‐dependent, and conducted under evolving evidence.
Xiaohan Ren   +6 more
wiley   +1 more source

The Epistemological Consequences of Artificial Intelligence, Precision Medicine, and Implantable Brain-Computer Interfaces

open access: yesVoices in Bioethics
I argue that this examination and appreciation for the shift to abductive reasoning should be extended to the intersection of neuroscience and novel brain-computer interfaces too.
Ian Stevens
doaj   +1 more source

Cosmology and Inductive Inference: A Bayesian Failure [PDF]

open access: yes, 2009
A probabilistic logic of induction is unable to separate cleanly neutral support from disfavoring evidence (or ignorance from disbelief). Thus, the use of probabilistic representations may introduce spurious results stemming from its expressive ...
John D. Norton, Norton, John D.
core  

Self‐Reported Confidence and Perceived Barriers in Raising Concerns Among Dental Students and Trainees in the Gulf Cooperation Council Region

open access: yesJournal of Dental Education, EarlyView.
ABSTRACT Introduction Raising concerns is essential to patient safety and professionalism in healthcare. Dental students and trainees, however, may encounter unique challenges in voicing concerns within clinical training environments. This study explores self‐reported confidence and perceived barriers in raising concerns among dental students and ...
Manal Matoug‐Elwerfelli   +12 more
wiley   +1 more source

Sharing Good News at Work to Collaborate and to Self‐Enhance: A Motivational and Reputational Perspective on Workplace Interpersonal Capitalization

open access: yesJournal of Organizational Behavior, EarlyView.
ABSTRACT Employees routinely experience work‐related positive events. In the wake of these events, employees sometimes share the good news with coworkers—a phenomenon known as workplace interpersonal capitalization. Research shows that such capitalization matters for how employees feel and act.
Trevor Watkins   +3 more
wiley   +1 more source

The Logic of Confirmation and Theory Assessment [PDF]

open access: yes, 2004
This paper discusses an almost sixty year old problem in the philosophy of science -- that of a logic of confirmation. We present a new analysis of Carl G.
Huber, Franz
core  

An Analogy Principle in Inductive Logic [PDF]

open access: yes, 2013
We propose an Analogy Principle in the context of Unary Inductive Logic and characterize the probability functions which satisfy it. In particular in the case of a language with just two predicates the probability functions satisfying this principle ...
Paris, J. B.   +3 more
core   +1 more source

Gatekeepers of the Future: The Role of Corporate Venture Capital in Corporate Artificial Intelligence Adoptions

open access: yesStrategic Change, EarlyView.
ABSTRACT This study extends absorptive capacity research by showing how corporate venture capital (CVC) investments enable corporate artificial intelligence (AI) adoption through collaboration pathways, delineated in four adoption archetypes that explain how heterogeneous AI knowledge is absorbed.
Louisa A. Müller   +2 more
wiley   +1 more source

Learning the Structure of Probabilistic Logic Programs [PDF]

open access: yes, 2012
There is a growing interest in the eld of Probabilistic Inductive Logic Programming, which uses languages that integrate logic programming and probability.
RIGUZZI, Fabrizio   +3 more
core   +1 more source

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