In our everyday life, we often need to anticipate the potential occurrence of events and their consequences. In this context, the way we represent contingencies can determine our ability to adapt to the environment. However, it is not clear how agents encode and organize available knowledge about the future to react to possible states of the…

Three experiments examined children's and adults' abilities to use statistical and temporal information to distinguish between common cause and causal chain structures. In Experiment 1, participants were provided with conditional probability information and/or temporal information and asked to infer the causal structure of a 3-variable mechanical…

Interacting with a system is key to uncovering its causal structure. A computational framework for interventional causal learning has been developed over the last decade, but how real causal learners might achieve or approximate the computations entailed by this framework is still poorly understood. Here we describe an interactive computer task in…

Weight is conceptualized as an embodiment of importance, according to recent research on embodied cognition (Ackerman, Nocera, & Bargh, 2010; Jostmann, Lakens, & Schubert, 2009). Is importance as embodied by weight used as a cue that items are memorable? Four experiments varied participants' perceptual experiences of weight as they studied…