Zobrazeno 1 - 10
of 551
pro vyhledávání: '"Daniel N Osherson"'
Autor:
Daniel N. Osherson
Originally published in 1974, a wide and interesting set of intellectual abilities in children are examined here. Volume 1 of 4 (Organization of Length and Class Concepts: Empirical Consequences of a Piagetian Formalism) converts an axiomatization of
Autor:
Daniel N. Osherson
Originally published in 1976, this fourth and final volume in a series that met with critical acclaim is concerned with a certain kind of answer to the question'What distinguishes the concepts that are a natural part of human languages from those tha
Autor:
Keating, Daniel P.
Publikováno v:
The American Journal of Psychology, 1977 Jun 01. 90(2), 345-347.
Externí odkaz:
https://www.jstor.org/stable/1422066
Autor:
MacWhinney, Brian
Publikováno v:
The American Journal of Psychology, 1992 Apr 01. 105(1), 158-160.
Externí odkaz:
https://www.jstor.org/stable/1422992
Autor:
Eric Martin, Daniel N. Osherson
The authors present a theory of inductive logic that is built fromthe tools of logic and model theory. One influential view of science focuses on the credibility that scientists attach to alternative theories and on the evolution of these credibiliti
Autor:
Edward E. Smith, Daniel N. Osherson
Publikováno v:
Cognition and Representation ISBN: 9780429042553
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a09f1bc524dfccd72a62f88ce369552
https://doi.org/10.4324/9780429042553-6
https://doi.org/10.4324/9780429042553-6
Formal learning theory is one of several mathematical approaches to the study of intelligent adaptation to the environment. The analysis developed in this book is based on a number theoretical approach to learning and uses the tools of recursive-func
Publikováno v:
Attention, Perception, & Psychophysics. 81:1564-1578
A challenge for the visual system is to detect regularities from multiple dimensions of the environment. Here we examine how regularities in multiple feature dimensions are distinguished from randomness. Participants viewed a matrix containing a stru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::486547835fe28cb639e6340fa9946e90
https://doi.org/10.3758/s13414-019-01667-x
https://doi.org/10.3758/s13414-019-01667-x
Publikováno v:
PLoS ONE, Vol 9, Iss 2, p e87434 (2014)
We introduce a computer vision problem from social cognition, namely, the automated detection of attitudes from a person's spontaneous facial expressions. To illustrate the challenges, we introduce two simple algorithms designed to predict observers'
Externí odkaz:
https://doaj.org/article/dc75879600844e2aa4db29fa14f2c617