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What Emergence Can Possibly Mean
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We consider emergence from the perspective of dynamics: states of a system evolving with time. We focus on the role of a decomposition of wholes into parts, and attempt to characterize relationships between levels without reference to whether higher-level properties are "novel" or "unexpected." We offer a classification of different varieties of emergence, with and without new ontological elements at higher levels.
Forward citations
Cited by 3 Pith papers
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When benchmark inferences do not compose: Projectibility in AI evaluation
Support for separate AI evaluation claims does not automatically compose into a broader claim; evaluators must verify that endpoints align and that dependence and uncertainty are carried through.
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Large Language Models and Emergence: A Complex Systems Perspective
A perspective paper arguing that LLM emergence claims are incomplete without evidence of internal coarse-grained representations, and that LLMs have not shown emergent intelligence.
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Classifying Emergence in Robot Swarms: An Observer-Dependent Approach
The paper argues that classifying a system as a swarm or as exhibiting a given type of emergence requires knowledge of its unobservable internal dynamics, not just its observable trajectories.
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