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Fig 1.

Test-grid from Xu & Tanenbaum.

Example word learning trial with test-grid shown to participants. Figure created by the author as an illustrative adaptation of the paradigm in [1416]; not reproduced from the original.

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Table 1.

All trial data from [16].

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Table 2.

Second-block trial data from [16].

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Table 3.

First-block trial data from [16].

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Fig 2.

Computation of mental representation from single training example and subsequent comparison to test objects.

Exact values are schematic and for illustration only.

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Fig 3.

Algorithmic flow chart highlighting a possible path of NGM behavior under parallel-presentation.

Typical path of meaning extracted from parallel-presentation trial. All exemplars contribute to initial hypothesized meaning.

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Fig 4.

Algorithmic flow chart highlighting a possible path of NGM behavior under sequential-presentation.

Typical path of meaning extracted from sequential-presentation trial. Subsequent “training” stimuli do not affect initial hypothesis so long as consistent. If inconsistent, then a new hypothesis is generated (not depicted here).

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Fig 5.

Implementation of distance computation between an object and mental representation under the NGM.

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Table 4.

Example learning and evaluation trial under the NGM.

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Table 5.

Major patterns to be captured by models of word learning and generalization.

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Fig 6.

Chart of all seven training configurations.

Conditions used for parameter tuning shown in light red. Time during training is indicated within each block vertically; the objects in the parallel condition are co-present at the same time, while the “sequential” trials training objects are never co-present.

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Fig 7.

NGM predictions and empirical human data after training on a single item.

Gold bars represent human experimental results from Spencer et al. [15]; grey bars show output from the NGM. Error bars indicate standard deviations.

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Fig 8.

NGM predictions and empirical human data across learning configurations with items presented sequentially.

(left) Subordinate training items (e.g., all dalmatians); (center) Basic training items (e.g., all dogs); (right) Superordinate training items (e.g., all animals). Gold bars represent human experimental results from Spencer et al. [15]; grey bars show output from the NGM. Error bars indicate standard deviations.

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Fig 9.

NGM predictions and empirical human data across learning configurations with items presented simultaneously.

(left) Subordinate training items (e.g., all dalmatians); (center) Basic training items (e.g., all dogs); (right) Superordinate training items (e.g., all animals). Gold bars represent human experimental results from Spencer et al. [15]; grey bars show output from the NGM. Error bars indicate standard deviations.

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