Saber dónde buscar un objeto oculto (Record no. 174968)

MARC details
000 -CABECERA
campo de control de longitud fija 02596nab a2200301 a 4500
005 - FECHA Y HORA DE LA ÚLTIMA TRANSACCIÓN
campo de control 20210219162354.0
008 - ELEMENTOS DE LONGITUD FIJA--INFORMACIÓN GENERAL
campo de control de longitud fija 991125s1985 mx 000 0 spa u
035 ## - NÚMERO DE CONTROL DEL SISTEMA
Número de control de sistema UPN01000202867
100 1# - ASIENTO PRINCIPAL--NOMBRE PERSONAL
Nombre de persona Chukoskie, Leanne
100 1# - ASIENTO PRINCIPAL--NOMBRE PERSONAL
Nombre de persona Snider, Joseph
100 1# - ASIENTO PRINCIPAL--NOMBRE PERSONAL
Nombre de persona Mozer Michael C
100 1# - ASIENTO PRINCIPAL--NOMBRE PERSONAL
Nombre de persona Sejnowski Terrence J
100 1# - ASIENTO PRINCIPAL--NOMBRE PERSONAL
Filiación terry@salk.edu
222 #0 - TÍTULO CLAVE
Título clave LUDUS VITALIS : REVISTA DE FILOSOFIA DE LAS CIENCIAS DE LA VIDA
245 00 - MENCIÓN DE TÍTULO
Título Saber dónde buscar un objeto oculto
260 ## - PUBLICACIÓN, DISTRIBUCIÓN, ETC.
Lugar de publicación, distribución, etc. México
300 ## - DESCRIPCIÓN FÍSICA
Extensión 319-341
362 0# - FECHAS DE PUBLICACIÓN Y/O DESIGNACIÓN SECUENCIAL
Fecha de publicación y/o designación secuencial 2013 Volumen 21, número 40
520 ## - NOTA DE RESUMEN, ETC.
Sumario, etc. Survival depends on successfully foraging for food, for which evolution has selected diverse behaviors in different species. Humans forage not only for food, but also for information. We decide where to look over 170,000 times per day, approximately three times per wakeful second. The frequency of these saccadic eye movements belies the complexity underlying each individual choice. Experience factors into the choice of where to look and can be invoked to rapidly redirect gaze in a context and task-appro­priate manner. However, remarkably little is known about how individuals learn to direct their gaze given the current context and task. We designed a task in which participants search a novel scene for a target whose location was drawn stochastically on each trial from a fixed prior distribution. The target was invisible on a blank screen, and the participants were rewarded when they fixated the hidden target location. In just a few trials, participants rapidly found the hidden targets by looking near previously rewarded locations and avoiding previously unrewarded locations. Learning trajectories were well characterized by a simple reinforcement-learning (RL) model that maintained and continually updated a reward map of locations. The RL model made further predictions concerning sensitivity to recent experience that were confirmed by the data. The asymptotic performance of both the participants and the RL model approached optimal performance characterized by an ideal-observer theory. These two complemen­tary levels of explanation show how experience in a novel environment drives visual search in humans and may extend to other forms of search such as animal foraging
653 0# - TERMINO DE INDIZACION - NO CONTROLADO
Término no controlado OBSERVACION
653 0# - TERMINO DE INDIZACION - NO CONTROLADO
Término no controlado OBJETIVO OCULTO
653 0# - TERMINO DE INDIZACION - NO CONTROLADO
Término no controlado BUSQUEDA
653 0# - TERMINO DE INDIZACION - NO CONTROLADO
Término no controlado APRENDIZAJE POR REFORZAMIENTO
700 1# - ASIENTO SECUNDARIO--NOMBRE DE PERSONAL
Nombre de persona Grande García, Israel,
700 1# - ASIENTO SECUNDARIO--NOMBRE DE PERSONAL
Término indicativo de función/relación traductor
856 4# - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS
Identificador Uniforme del Recurso <a href="http://www.centrolombardo.edu.mx/wp-content/uploads/2014/10/40-16_chukoskie_et_al.pdf">http://www.centrolombardo.edu.mx/wp-content/uploads/2014/10/40-16_chukoskie_et_al.pdf</a>
905 ## - TIPO DE MATERIAL
Tipo de material Articulo

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