Summary of Predictions and Measures from a Multi-Agent Language Emergence Model

A 9.5 KB Excel file published by Kristina Kobrock on figshare in May 2026. The dataset likely contains results from a computational model simulating pragmatic mechanisms in referential communication and categorization. It models the efficiency tradeoff between speaker and listener utilities in a multi-agent framework of emergent communication.

Use Cases

• Analyzing the impact of shared context on language efficiency based on the described model results.
• Investigating the role of utility-based pragmatics in referential expression generation.
• Comparing language characteristics (ambiguity, informativeness) between training conditions with and without contextual information.
• Studying the tradeoff between production simplicity and comprehension informativeness in emergent communication.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 9.5 KB, indicating a focused and manageable dataset.
• Last updated date is explicitly provided: 2026-05-26 17:46:42.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Results from a computational modeling study of pragmatic mechanisms in multi-agent emergent communication.

Freshness

Last updated 2026-05-26 17:46:42.