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Patterns, Information, and CausationThis paper presents an account of causation as a collection of information-theoretic relationships between patterns instantiated in the causal nexus. Mechanical causal processes as treated as a ‘pixel’ level nexus, in which causal relata construed as patterns are instantiated. Counterfactuals involve the design level patterns where various parts of the microstates could have been different; this counterfactual robustness characterizes the modal characteristics of many causal relata. The result can be represented as phase space volumes, partitioned with probability distributions, such that techniques from information theory can be applied directly, and will track causal informational relationships in the world.
Simon Fraser University