Information, Causation and Computation
| Abstract | Causation can be understood as a computational process once we understand causation in informational terms. I argue that if we see processes as information channels, then causal processes are most readily interpreted as the transfer of information from one state to another. This directly implies that the later state is a computation from the earlier state, given causal laws, which can also be interpreted computationally. This approach unifies the ideas of causation and computation | |||||||||
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Similar books and articlesGordana Dodig Crnkovic & Susan Stuart (eds.) (2007). Computation, Information, Cognition: The Nexus and the Liminal. Cambridge Scholars Press.
Lars-Göran Johansson (2007). Causation- A Synthesis of Three Approaches. In Susan Stuart & Gordana Dodic-Crnkovic (eds.), Computation, Information, Cognition: The Nexus and the Liminal.f. Cambridge Scholars Press.
Gualtiero Piccinini & Andrea Scarantino (2010). Computation Vs. Information Processing: Why Their Difference Matters to Cognitive Science. Studies in History and Philosophy of Science Part A 41 (3):237-246.
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B. Maclennan (2003). Transcending Turing Computability. Minds and Machines 13 (1):3-22.
C. F. Boyle (1994). Computation as an Intrinsic Property. Minds and Machines 4 (4):451-67.
David Braddon-Mitchell (1993). The Microstructural Causation Hypothesis. Erkenntnis 39 (2):257 - 283.
Gualtiero Piccinini & Andrea Scarantino (2011). Information Processing, Computation, and Cognition. Journal of Biological Physics 37 (1):1-38.
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