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Metaphysics of Cause and Effect

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Anscombe's Causality and Determination

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G. E. M. Anscombe discusses that cause and effect do not imply necessity or predictability, intertwining causality with human action and freedom.

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Nagel's Probability Theory

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Ernest Nagel argues that causation can often be understood in terms of probabilities, not deterministic laws, and causal explanations can vary in depth.

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Mackie's INUS Conditions

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J. L. Mackie coined the term 'INUS' condition (an Insufficient but Non-redundant part of an Unnecessary but Sufficient condition) to capture the complexity of causation in real-world contexts.

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Kant's Causal Principle

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Immanuel Kant proposed that causality is a category of understanding necessary for making sense of experience, not something we can derive from experience itself.

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Bertrand Russell's Causal Skepticism

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Russell argued that causation doesn’t reflect the way the world works and is an antiquated concept based on outdated science.

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Cartwright's Regularity Theory

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Nancy Cartwright advocates for a version of the regularity theory of causation, which asserts that causal relations are not fundamental but derived from recurring patterns.

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Leibniz's Principle of Sufficient Reason

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Gottfried Wilhelm Leibniz states that nothing happens without a reason, and this underpins his view on causation.

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Spinoza's Monism

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Baruch Spinoza posits that there is only one substance, God or Nature, and causation is an internal process within this single substance.

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Hume's Skepticism about Causation

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David Hume argued that our belief in cause and effect is based on habit and custom, not logical deduction or empirical proof.

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Dowe's Process Theory

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Phil Dowe's process theory focuses on the physical processes and the conservation laws they obey as the basis for causal relationships.

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Aristotle's Four Causes

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Aristotle identified four kinds of answers to 'why' questions, which he called 'causes': material, formal, efficient, and final.

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Davidson's Anomalous Monism

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Donald Davidson's anomalous monism posits that while mental events are causally related to physical events, there are no strict laws governing the mind.

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Popper's Propensity Interpretation

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Karl Popper introduced the propensity interpretation of probability, suggesting that probabilities have a physical tendency to realize certain outcomes.

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Mill's Methods of Causation

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John Stuart Mill proposed a set of methods to identify causal relationships empirically, such as the Method of Agreement and the Method of Difference.

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Mumford's Dispositional Theory of Causation

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Stephen Mumford suggests that causation is a matter of the dispositions of entities to behave in certain ways under certain conditions.

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Lewis's Counterfactual Theory of Causation

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David Lewis suggests that causation is to be analyzed in terms of counterfactual conditionals, focusing on ‘closest possible worlds’ where events do not occur.

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Bhaskar's Critical Realism

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Roy Bhaskar's critical realism holds that causation is real and must be understood in relation to the structures and mechanisms that produce causal powers.

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Salmon's Causal Mechanisms

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Wesley C. Salmon developed a theory that identifies causation with the mechanisms that produce regularities, as opposed to regularities themselves.

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