David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Philosophy of Science 74 (3):330-347 (2007)
Time series of macroscopic quantities that are aggregates of microscopic quantities, with unknown one‐many relations between macroscopic and microscopic states, are common in applied sciences, from economics to climate studies. When such time series of macroscopic quantities are claimed to be causal, the causal relations postulated are representable by a directed acyclic graph and associated probability distribution—sometimes called a dynamical Bayes net. Causal interpretations of such series imply claims that hypothetical manipulations of macroscopic variables have unambiguous effects on variables “downstream” in the graph, and such macroscopic variables may be predictably produced or altered even while particular microstates are not. This paper argues that such causal time series of macroscopic aggregates of microscopic processes are the appropriate model for mental causation.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
John W. Bickle (2008). Psychoneural Reduction: The New Wave. A Bradford Book.
Ned Block & Robert Stalnaker (1999). Conceptual Analysis, Dualism, and the Explanatory Gap. Philosophical Review 108 (1):1-46.
John Heil (ed.) (2004). Philosophy of Mind: A Guide and Anthology. Oxford University Press.
Jaegwon Kim (2005). Physicalism, or Something Near Enough. Princeton University Press.
Jaegwon Kim (1993). Supervenience and Mind. Cambridge University Press.
Citations of this work BETA
No citations found.
Similar books and articles
Clark Glymour, Data Driven Methods for Granger Causality and Contemporaneous Causality with Non-Linear Corrections: Climate Teleconnection Mechanisms.
Brad Weslake (2006). Common Causes and the Direction of Causation. Minds and Machines 16 (3):239-257.
David Papineau (2013). Causation is Macroscopic but Not Irreducible. In Sophie C. Gibb & Rögnvaldur Ingthorsson (eds.), Mental Causation and Ontology. Oxford University Press. 126.
Paul Needham (1999). Macroscopic Processes. Philosophy of Science 66 (2):310-331.
John W. Carroll & William R. Carter (2005). An Unstable Eliminativism. Pacific Philosophical Quarterly 86 (1):1–17.
Ravi V. Gomatam (1999). Quantum Theory and the Observation Problem. Journal of Consciousness Studies 6 (11-12):11-12.
P. Needham (2010). Substance and Time. British Journal for the Philosophy of Science 61 (3):485-512.
Cosma Rohilla Shalizi (2004). Functionalism, Emergence, and Collective Coordinates: A Statistical Physics Perspective on “What to Say to a Skeptical Metaphysician”. Behavioral and Brain Sciences 27 (5):635-636.
Douglas Kutach (2007). The Physical Foundations of Causation. In Huw Price & Richard Corry (eds.), Causation, Physics, and the Constitution of Reality: Russell's Republic Revisited. Oxford University Press.
Added to index2009-01-28
Total downloads12 ( #126,646 of 1,098,615 )
Recent downloads (6 months)3 ( #113,599 of 1,098,615 )
How can I increase my downloads?