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Probabilistic models of physical reasoning

Probabilistic programs as a unifying language of thought

Intervening in time

Much of what we know about the world comes from acting on it, and observing the consequences of our actions. In the literature, causal learning from interventions and from observing temporal dynamics have largely received separate attention due to …

Causation in legal and moral reasoning

Causation looms large in legal and moral reasoning. People construct causal models of the social and physical world to understand what has happened, how and why, and to allocate responsibility and blame. This chapter explores people’s common-sense …

Intuitive Theories

One of the hallmarks of human intelligence is its flexibility. While computers have achieved better-than-human performance in various games, such as Chess, Jeopardy, or Go, there is no single algorithm yet that works in all of these cases. Humans, …

A difference-making framework for intuitive judgments of responsibility

Concepts in a probabilistic language of thought

Knowledge organizes our understanding of the world, determining what we expect given what we have already seen. Our predictive representations have two key properties: they are productive, and they are graded. Productive generalization is possible …

Attributing responsibility: Actual and counterfactual worlds

How do people attribute responsibility to individuals in a group? Several models in psychology predict that there is a close relationship between counterfactuals and responsibility: how responsible an individual’s contribution is seen depends on …