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Goldschmied developed the concept of the "treasure basket" (TB) containing safe, multi-sensory household items in a low, open basket, for children able to sit and explore independently without physical adult intervention. The concept of "heuristic play" (HP) grew out of the TB as a means of autonomous play for babies under the age of two.
Some evidence from basketball supports the argument that the hot-hand belief is an illusion based on people's systematic misjudgment of random sequences. [8] In contrast, recent studies from volleyball suggest that belief in the hot-hand is justified and hence useful for making good allocation decisions in the game.
Gigerenzer & Gaissmaier (2011) state that sub-sets of strategy include heuristics, regression analysis, and Bayesian inference. [14]A heuristic is a strategy that ignores part of the information, with the goal of making decisions more quickly, frugally, and/or accurately than more complex methods (Gigerenzer and Gaissmaier [2011], p. 454; see also Todd et al. [2012], p. 7).
The representativeness heuristic is simply described as assessing similarity of objects and organizing them based around the category prototype (e.g., like goes with like, and causes and effects should resemble each other). [2] This heuristic is used because it is an easy computation. [4]
This heuristic is one of the reasons why people are more easily swayed by a single, vivid story than by a large body of statistical evidence. [60] It may also play a role in the appeal of lotteries: to someone buying a ticket, the well-publicised, jubilant winners are more available than the millions of people who have won nothing. [59]
A catcher using the gaze heuristic observes the initial angle of the ball and runs towards it in such a way as to keep this angle constant. [7] The gaze heuristic does not require knowledge of any of the variables required by the optimizing approach, nor does it require the catcher to integrate information, yet it allows the catcher to catch the ball. [8]
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The rating of best Go-playing programs on the KGS server since 2007. Since 2006, all the best programs use Monte Carlo tree search. [14]In 2006, inspired by its predecessors, [15] Rémi Coulom described the application of the Monte Carlo method to game-tree search and coined the name Monte Carlo tree search, [16] L. Kocsis and Cs.