We lifted 6 functions out of this paper's own repositories and ran 3 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| facebookresearch/fruit-tools-game | pwc_unofficial | 3 of 6 |
| Function | Status | Where it lives |
|---|---|---|
| one_hot | Ran | facebookresearch/fruit-tools-game/utils.py pointer only (licence: MIT) · get_code("0c64ac267107a5dc") |
| return_bs_message | Ran | facebookresearch/fruit-tools-game/utils.py pointer only (licence: MIT) · get_code("e9d7d35361ccb03b") |
| sample_stgs | Ran | facebookresearch/fruit-tools-game/utils.py pointer only (licence: MIT) · get_code("7f6952c7208a1014") |
| create_classif_dataset_simple | Not yet run | facebookresearch/fruit-tools-game/semantical_analysis.py pointer only (licence: MIT) · get_code("c52c2123819dcd3a") |
| sem_analysis | Not yet run | facebookresearch/fruit-tools-game/semantical_analysis.py pointer only (licence: MIT) · get_code("350cae97b5683fa0") |
| shuffle_convers | Not yet run | facebookresearch/fruit-tools-game/semantical_analysis.py pointer only (licence: MIT) · get_code("04f71369e0a8d89c") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
Recent research studies communication emergence in communities of deep network agents assigned a joint task, hoping to gain insights on human language evolution. We propose here a new task capturing crucial aspects of the human environment, such as natural object affordances, and of human conversation, such as full symmetry among the participants. By conducting a thorough pragmatic and semantic analysis of the emergent protocol, we show that the agents solve the shared task through genuine bilateral, referential communication. However, the agents develop multiple idiolects, which makes us conclude that full symmetry is not a sufficient condition for a common language to emerge.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("1905.11871")
get_code_for_paper("1905.11871")
have("1905.11871")
Connect an agent — have() is free.