Learning Causality in a Complex World: Understandings of Consequence

Rowman & Littlefield Education (2012)
Introduction -- Simple linear causality : one thing makes another happen -- The cognitive science of simple causality : why do we get stuck? -- Domino causality : effects that become causes -- Cyclic causality : loops and feedback -- Spiraling causality : escalation and de-escalation -- Mutual causality : symbiosis and bi-directionality -- Relational causality : balances and differentials -- Across time and distance : detecting delayed and distant effects -- "What happened?" vs. "what's going on?" : thinking about steady states -- What you can't see does matter : attending to obvious and non-obvious causes -- It's not always a case of who did it : minding passive and unintentional causality -- Step by step, or not : the mind-bending concept of simultaneous causality -- Figuring out what to count on : dealing with stochastic causality -- Isn't anybody in charge around here? : attending to distributed causality and emergence -- Summing up : the implications for helping a new generation understand causal complexity -- Putting it all together : teaching for causal complexity.
Keywords Causation
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Call number BD591.G765 2012
ISBN(s) 9781610488631
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Jon Williamson (2009). Probabilistic Theories of Causality. In Helen Beebee, Peter Menzies & Christopher Hitchcock (eds.), The Oxford Handbook of Causation. Oxford University Press. pp. 185--212.
Paul Humphreys (1980). Probabilistic Causality and Multiple Causation. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1980:25 - 37.

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