- Title Pages
- To my ultimate causes: Linda, Sabina, Leila
- 1 Agency and the Role of Causation in Mental Life
- 2 The Information Is in the Invariants
- 3 What Is a Cause?
- 4 Causal Models
- 5 Observation Versus Action
- II Evidence and Application
- 6 Reasoning About Causation
- 7 Decision Making via Causal Consequences
- 8 The Psychology of Judgment: Causality Is Pervasive
- 9 Causality and Conceptual Structure
- 10 Categorical Induction
- 11 Locating Causal Structure in Language
- 12 Causal Learning
- 13 Conclusion: Causation in the Mind
- 1. Agency and the Role of Causation in Mental Life
- 2. The Information Is in the Invariants
- 3. What Is a Cause?
- 4. Causal Models
- 5. Observation Versus Action
- 6. Reasoning About Causation
- 7. Decision Making via Causal Consequences
- 8. The Psychology of Judgment
- 9. Causality and Conceptual Structure
- 10. Categorical Induction
- 11. Locating Causal Structure in Language
- 12. Causal Learning
- 13. Conclusion: Causation in the Mind
- (p.36) 4 Causal Models
- Causal Models
- Oxford University Press
According to human perception, the world is full of causal systems composed of autonomous mechanisms that generate events as effects of other events. This chapter attempts to make this idea more precise and therefore more clear by making it more formal. It introduces the causal model framework as an abstract language for representing causal systems. It discusses the three parts of a causal model: the causal system in the world (i.e., the system being represented); the probability distribution that describes how likely events are to happen and how likely they are to occur with other events — how certain we can be about each event and combination of events; and a graph that depicts the causal relations in the system.
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