Marina L Fotteler, Thomas D Kocar, Dhayana Dallmeier, Brigitte Kohn, Sarah Mayer, Ann-Kathrin Waibel, Walter Swoboda, Michael Denkinger
Use and benefit of information, communication, and assistive technology among community-dwelling older adults - a cross-sectional study
BMC public health
causal evidence often ambiguous ambiguous evidence often gives rise inferential dependencies learning whether one cue causes effect leads reasoner make inferences whether cues cause effect 2 main approaches explaining inferential dependencies one approach adopted bayesian propositional models distributes belief across multiple explanations thereby representing ambiguity explicitly approach adopted many associative models posits withincompound associationsassociations form potential causesthat together associations causes effects support inferences related cues although fundamentally different approaches explain many results causal literature distinguished theoretically experimentally present analysis differences approaches series experiments demonstrate models distribute belief across multiple explanations provide better characterization human causal reasoning models adopt associative approach