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Causality, computing, and complexity

Abbott, Russ (2015) Causality, computing, and complexity. UNSPECIFIED.

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Abstract

I discuss two categories of causal relationships: primitive causal interactions of the sort characterized by Phil Dowe and the more general manipulable causal relationships as defined by James Woodward. All primitive causal interactions are manipulable causal relationships, but there are manipulable causal relationships that are not primitive causal interactions. I’ll call the latter constructed causal relationships, and I’ll argue that constructed causal relationships serve as a foundation for both computing and complex systems.

Perhaps even more interesting are autonomous causal relationships. These are constructed causal relationships in which the causal mechanism resides primarily in the effect. A typical example is a software execution engine. Software execution engines are on the effect side of a cause-effect relationship in which software is the cause and the behavior of the execution engine is the effect. The mechanism responsible for that causal relationship resides in the execution engine.


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Item Type: Other
Creators:
CreatorsEmailORCID
Abbott, RussRuss.Abbott@gmail.com
Keywords: Causality, computing, complexity
Subjects: General Issues > Causation
Specific Sciences > Complex Systems
Specific Sciences > Computer Science
Depositing User: Prof. Russ Abbott
Date Deposited: 28 Jul 2015 15:30
Last Modified: 28 Jul 2015 15:30
Item ID: 11591
Subjects: General Issues > Causation
Specific Sciences > Complex Systems
Specific Sciences > Computer Science
Date: 26 July 2015
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/11591

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