Results 141 to 150 of about 816,456 (248)
Investigating Expertise in Probabilistic Reasoning
This study challenges traditional assumptions about human cognitive limitations in probabilistic reasoning by comparing performance between mathematical experts and novices on Bayesian reasoning tasks.
Matthew B Thompson +2 more
core +1 more source
Divergent patterns of probabilistic reasoning in humans and GPT-5. [PDF]
Imannezhad P, Pothos EM, Wills AJ.
europepmc +1 more source
Probabilistic reasoning about measurements of equilibrium climate sensitivity: combining disparate lines of evidence. [PDF]
Cooke RM, Wielicki B.
europepmc +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Modeling information demand in the framework of probabilistic reasoning. [PDF]
Jiwa MW, Gottlieb J.
europepmc +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
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
Bayesian teaching enables probabilistic reasoning in large language models. [PDF]
Qiu L +5 more
europepmc +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Probabilistic reasoning with answer sets
. We give a logic programming based account of probability and describe a declarative language P-log capable of reasoning which combines both logical and probabilistic arguments.
Chitta Baral +2 more
core
Numeracy and pathological anxiety: the role of numerical and probabilistic reasoning in risk distortion. [PDF]
Quiles JRG, Schubert FT, Schmidt NB.
europepmc +1 more source

