Disentangling Categorization in Multi-agent Emergent Communication (2022.naacl-main)
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| Challenge: | Recent work on the emergence of language between artificial agents has not isolated the effect of categorization power on inter-communication ability. |
| Approach: | They propose to use disentangled representations to quantify categorization power of agents to enable differential analysis between combinations of heterogeneous systems. |
| Outcome: | The proposed method reduces signaling accuracy by 40% despite encouraging compositionality in the artificial language. |
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