Information-Theoretic Principles in the Evolution of Semantic Systems
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Human language is characterized by near-optimal compression of meanings into words.
“Most relevant to our work is a recent line of work that argues that human language is characterized by near-optimal compression of meanings into words (Zaslavsky, 2020;Zaslavsky et al., 2018).”
From Towards Human-Like Emergent Communication via Utility, Informativeness, and Complexity (2025) · cites this paper as Zaslavsky, 2020
Efficient communication approaches focus on population-level characteristics of language that are either stationary or linked to dynamical processes not explicitly grounded in agent interactions.
“Instead, they focus on population-level characteristics of language that are either stationary (e.g., Regier et al., 2015) or linked to dynamical processes that are not explicitly grounded in agent interactions, such as annealing (Zaslavsky, 2020) or semantic chaining ( Y. Xu et al., 2016).”
From Towards Human-Like Emergent Communication via Utility, Informativeness, and Complexity (2025) · cites this paper as Zaslavsky, 2020
For any given complexity level, there are many possible IB-optimal solutions with different effective codebook sizes.
“Prior art shows that, for any given complexity level, there are many possible IB-optimal solutions with different effective codebook sizes k = j {ζ i 2 ζ : Æ m ℙ(m)q(ζ i |m) > 0j (Zaslavsky, 2020).”
From Towards Human-Like Emergent Communication via Utility, Informativeness, and Complexity (2025) · cites this paper as Zaslavsky, 2020
Cited by
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The forms and meanings of grammatical markers support efficient communication
Mollica, F., Bacon, G., Zaslavsky, N., Xu, Y., Regier, T., & Kemp, C. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2025993118 · Cited by 42 · see citing works
Self-citationLet's talk (efficiently) about us: Person systems achieve near-optimal compressionPreprint
Zaslavsky, N., Maldonado, M., & Culbertson, J. (2021) · doi:10.31234/osf.io/kcu27 · Cited by 31 · see citing works
Self-citationThe evolution of color naming reflects pressure for efficiency: Evidence from the recent past
Zaslavsky, N., Garvin, K., Kemp, C., Tishby, N., & Regier, T. (2022) · Journal of Language Evolution · doi:10.1093/jole/lzac001 · Cited by 23 · see citing works
Self-citationMethods for identifying emergent concepts in deep neural networks
Räz, T. (2023) · Patterns · doi:10.1016/j.patter.2023.100761 · Cited by 13 · see citing works
Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems
Agmon, S., Benger, E., Ordentlich, O., & Tishby, N. (2021) · IEEE International Symposium on Information Theory (ISIT) · doi:10.1109/isit45174.2021.9517956 · Cited by 5 · see citing works
Towards Human-Like Emergent Communication via Utility, Informativeness, and Complexity
Tucker, M., Shah, J., Levy, R., & Zaslavsky, N. (2025) · Open Mind · doi:10.1162/opmi_a_00188 · Cited by 2 · see citing works
Self-citationThe forms and meanings of grammatical markers support efficient communicationPreprint
Mollica, F., Bacon, G. I., Zaslavsky, N., Xu, Y., Regier, T., & Kemp, C. (2021) · doi:10.31234/osf.io/vf3zj · Cited by 2 · see citing works
Self-citationThe evolution of efficient compression in signaling gamesPreprint
Imel, N. (2023) · doi:10.31234/osf.io/b62de · Cited by 1 · see citing works
The Bayesian iterated learning modelPreprint
Ferdinand, V. (2024) · doi:10.31234/osf.io/kwhcp · Cited by 1 · see citing works
Explaining semantic typology, forms and all
Steinert‐Threlkeld, S. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.02.001
Emergence of Concepts in DNNs?Preprint
Räz, T. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2211.06137 · Cited by 1 · see citing works
Information-theoretic and machine learning methods for semantic categorization
Mollica, F., & Zaslavsky, N. (2025) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780192886491.013.21
Self-citationThe Bayesian iterated learning model
Ferdinand, V. (2025) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780192886491.013.15 · Cited by 1 · see citing works
- Authors
- Zaslavsky, N.
- Corresponding author
- Zaslavsky, Noga
- ORCID
- Zaslavsky, Noga
- Venue
- Unpublished
- Publisher
- Unpublished
- Published
- 2020
- OpenAlex
- W3113321612
- Cited by
- 14
- References
- 0
- Citations by year
- 2025: 3 · 2024: 1 · 2023: 3 · 2022: 3 · 2021: 4
- FWCI
- 14.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Topics
- Social Sciences › Cultural Studies › Language and cultural evolution
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
- Physical Sciences › Computer Science › Artificial Intelligence › Diverse Interdisciplinary Research Studies
- Keywords
- information theory, semantic system, evolution of meaning, semantic change
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