| 000 | 02596nab a2200301 a 4500 | ||
|---|---|---|---|
| 005 | 20210219162354.0 | ||
| 008 | 991125s1985 mx 000 0 spa u | ||
| 035 | _aUPN01000202867 | ||
| 100 | 1 | _aChukoskie, Leanne | |
| 100 | 1 | _aSnider, Joseph | |
| 100 | 1 | _aMozer Michael C | |
| 100 | 1 | _aSejnowski Terrence J | |
| 100 | 1 | _uterry@salk.edu | |
| 222 | 0 | _aLUDUS VITALIS : REVISTA DE FILOSOFIA DE LAS CIENCIAS DE LA VIDA | |
| 245 | 0 | 0 | _aSaber dónde buscar un objeto oculto |
| 260 | _aMéxico | ||
| 300 | _a319-341 | ||
| 362 | 0 | _a2013 Volumen 21, número 40 | |
| 520 | _aSurvival 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 | _aOBSERVACION | |
| 653 | 0 | _aOBJETIVO OCULTO | |
| 653 | 0 | _aBUSQUEDA | |
| 653 | 0 | _aAPRENDIZAJE POR REFORZAMIENTO | |
| 700 | 1 | _aGrande García, Israel, | |
| 700 | 1 | _etraductor | |
| 856 | 4 | _uhttp://www.centrolombardo.edu.mx/wp-content/uploads/2014/10/40-16_chukoskie_et_al.pdf | |
| 905 | _aArticulo | ||
| 999 |
_c174968 _d174968 |
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