Learning latent structure: carving nature at its joints
نویسندگان
چکیده
منابع مشابه
Learning latent structure: carving nature at its joints.
Reinforcement learning (RL) algorithms provide powerful explanations for simple learning and decision-making behaviors and the functions of their underlying neural substrates. Unfortunately, in real-world situations that involve many stimuli and actions, these algorithms learn pitifully slowly, exposing their inferiority in comparison to animal and human learning. Here we suggest that one reaso...
متن کاملCarving Nature at Its Joints and Carving Joints into Nature: How Labels Augment Category Representations
Using words to label categories is a true human universal. In addition to their public function in communication, labels may also serve private functions in shaping how concepts are represented. The present work explored the effects of assigning category labels on perceptual representations. A connectionist simulation is presented that examines the effects of labels on learning different types ...
متن کاملCarving Metacognition at Its Joints: Protracted Development of Component Processes.
Two experiments investigated the development of metacognitive monitoring and control, and conditions under which children engage these processes. In Experiment 1, 5-year-olds (N = 30) and 7-year-olds (N = 30), unlike adults (N = 30), showed little evidence of either monitoring or control. In Experiment 2, 5-year-olds (N = 90) were given performance feedback (aimed at improving monitoring), inst...
متن کاملHow Particle Physics Cut Nature At Its Joints
This paper presents an epistemological analysis of the search for new conservation laws in particle physics. Discovering conservation laws has posed various challenges concerning the underdetermination of theory by evidence, to which physicists have found various responses. These responses include an appeal to a plenitude principle, a maxim for inductive inference, looking for a parsimonious sy...
متن کاملCarving the clock at its component joints: neural bases for interval timing.
Models of time perception often describe an "internal clock" that involves at least two components: an accumulator and a comparator. We used functional magnetic resonance imaging to test the hypothesis that distinct distributed neural networks mediate these components of time perception. Subjects performed a temporal discrimination task that began with a visual stimulus (S1) that varied paramet...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Current Opinion in Neurobiology
سال: 2010
ISSN: 0959-4388
DOI: 10.1016/j.conb.2010.02.008