JOURNAL ARTICLE

Top-down causation and emergence: some comments on mechanisms

George Ellis

Year: 2011 Journal:   Interface Focus Vol: 2 (1)Pages: 126-140   Publisher: Royal Society

Abstract

Abstract Both bottom-up and top-down causation occur in the hierarchy of structure and causation. A key feature is multiple realizability of higher level functions, and consequent existence of equivalence classes of lower level variables that correspond to the same higher level state. Five essentially different classes of top-down influence can be identified, and their existence demonstrated by many real-world examples. They are: algorithmic top-down causation; top-down causation via non-adaptive information control, top-down causation via adaptive selection, top-down causation via adaptive information control and intelligent top-down causation (the effect of the human mind on the physical world). Through the mind, abstract entities such as mathematical structures have causal power. The causal slack enabling top-down action to take place lies in the structuring of the system so as to attain higher level functions; in the way the nature of lower level elements is changed by context, and in micro-indeterminism combined with adaptive selection. Understanding top-down causation can have important effects on society. Two cases will be mentioned: medical/healthcare issues, and education—in particular, teaching reading and writing. In both cases, an ongoing battle between bottom-up and top-down approaches has important consequences for society.

Keywords:
Causation Computer science Context (archaeology) Top-down and bottom-up design Causal structure Hierarchy Epistemology Political science

Metrics

202
Cited By
7.83
FWCI (Field Weighted Citation Impact)
112
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Science and Mapping
Physical Sciences →  Computer Science →  Artificial Intelligence
Philosophy and History of Science
Social Sciences →  Arts and Humanities →  History and Philosophy of Science
Computability, Logic, AI Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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