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Alan Jern Charles Kemp Carnegie Mellon University
Category Generation
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Category generation: Introduction
Observation: people can imagine and create new objects 2 Category generation Spork Cobb salad Griffin T. Ward (1994)
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Outline
Define category generation Modeling approach Experiment 3
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Category generation
Can occur at any level in a taxonomy Exemplar level 4 Category level
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Category generation
This talk 5
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Caesar Greek x1 x2 x3 x4 x5 x6 Training Classification
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Caesar Greek x1 x2 x3 x4 x5 x6 Test xnew ? Classification
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Caesar Greek x1 x2 x3 x4 x5 x6 Classification xnew ? Caesar Greek x1 x2 x3 x4 x5 x6 Training Category generation
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Caesar Greek x1 x2 x3 x4 x5 x6 Classification xnew ? Category generation Caesar Greek x1 x2 x3 x4 x5 x6 xnew ? Test
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Past modeling approaches
Classification Prototype model (Reed, 1972) GCM (Nosofsky, 1985) Rational model (Anderson, 1991) ALCOVE (Kruschke, 1992) SUSTAIN (Love et al., 2004) Category generation ? 10
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11 Caesar Greek x1 x2 x3 x4 x5 x6 Classification xnew ? Category generation Caesar Greek x1 x2 x3 x4 x5 x6 xnew ? Test
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Our approach
Bayesian Learn category distribution Sample from that distribution 12
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A category generation task
13 M K G X M B R X W K G R …
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An exemplar generation task
14 Slot 1 Slot 2 MX MX HF WR Slot 2 G K G K N B V S Slot 1 Pieces M K G X M B N X W K G R Structure cf. Fiser & Aslin, 2001
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Task model
15 M K G X M B N X W K G R Structure Slot 1 Slot 2 MX MX HF WR Slot 2 G K G K N B V S Slot 1 ? Slots ? W B N R
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Experimental Design 18 CMU undergraduates 3 structures (3 conditions) 16
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Materials
1 2 3 4 1 2 3 4 17 Slot 1 Slot 2 Seen combination Z N Q J V S W K DB RL XM HF
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Humans
Results 19 No item generated more than twice Model 1 2 3 4 1 2 3 4 58% of responses (Hypothesis space: 1820 possible responses)
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Results
Classification task Rate likelihood of new instances 20 Valid All Distractors 3 Seen Pairings 2 Seen Pairings 1 Seen Pairing
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