REVIEW 2 cited by
The Effect of Noise on the Emergence of Continuous Norms and its Evolutionary Dynamics
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
We examine the effect of noise on societies of agents using an agent-based model of evolutionary norm emergence. Generally, we see that noisy societies are more selfish, smaller and discontent, and are caught in rounds of perpetual punishment preventing them from flourishing. Surprisingly, despite the effect of noise on the population, it does not seem to evolve away. We carry out further analysis and provide reasons for why this may be the case. Furthermore, we claim that our framework that evolves the noise/ambiguity of norms may be a new way to model the tight/loose framework of norms, suggesting that despite ambiguous norms detrimental effect on society, evolution does not favour clarity.
Forward citations
Cited by 2 Pith papers
-
Quantifying Holistic Review: A Multi-Modal Approach to College Admissions Prediction
CAPS fuses LLM essay scores, semantic embeddings, and regression weights into one admissions score, but validates it only on synthetic applicants.
-
Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces
A GPT2-XL analysis reports that a neuron's highest-activation tokens are also the ones most similar to multiple categorical subclusters, offered as evidence for an intra-neuronal vector-space view of polysemy.
Discussion (0). Continue with ORCID to comment.