Representing causation

Representing causation (2007)

by Phillip Wolff

Venue:	Journal of Experiment Psychology: General
Citations:	12 - 5 self

Datum	Value	Source
TITLE	Representing causation	INFERENCE
AUTHOR NAME	Phillip Wolff	SVM HeaderParse 0.2
ABSTRACT	The dynamics model, which is based on L. Talmy’s (1988) theory of force dynamics, characterizes causation as a pattern of forces and a position vector. In contrast to counterfactual and probabilistic models, the dynamics model naturally distinguishes between different cause-related concepts and explains the induction of causal relationships from single observations. Support for the model is provided in experiments in which participants categorized 3-D animations of realistically rendered objects with trajectories that were wholly determined by the force vectors entered into a physics simulator. Experiments 1–3 showed that causal judgments are based on several forces, not just one. Experiment 4 demonstrated that people compute the resultant of forces using a qualitative decision rule. Experiments 5 and 6 showed that a dynamics approach extends to the representation of social causation. Implications for the relationship between causation and time are discussed.	SVM HeaderParse 0.2
YEAR	2007	INFERENCE
VENUE	Journal of Experiment Psychology: General	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	82--111	INFERENCE
VOLUME	136	INFERENCE
CITATIONS	124 found	ParsCit 1.0