Figure 6 | Scientific Reports

Figure 6

From: Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts

Figure 6The alternative text for this image may have been generated using AI.

Interpolation of the test data set feature vector ‘Jaguar’. Three semantic features (dangerous, having a fur and having lungs) are missing, i.e. are replaced by the value \(-1\). The three networks trained with different discount factors \(\gamma = (0.3,0.7,1.0)\) infer the missing features. Binary semantic features are inferred well in all cases. The ‘dangerous’ feature is badly predicted for large discount factors \(\gamma = (0.7,1.0)\). In contrast, in case of the lower discount factor \(\gamma = 0.3\), it is predicted well.

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