2019/05/10 by Jerome R. Busemeyer, Busemeyer, Jerome R., Peter D. Kvam +3 · 1 citation
Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Quantum Physics (quant-ph)
paper · pdf · doi:10.48550/arxiv.1905.05288
openalex publication_date 2019/05/10 · openalex created_date 2022/07/29 · openalex updated_date 2026/07/28
Two different dynamic models for belief change during evidence monitoring\nwere evaluated: Markov and quantum. They were empirically tested with an\nexperiment in which participants monitored evidence for an initial period of\ntime, made a probability rating, then monitored more evidence, before making a\nsecond rating. The models were qualitatively tested by manipulating the time\nintervals in a manner that provided a test for interference effects of the\nfirst rating on the second. The Markov model predicted no interference whereas\nthe quantum model predicted interference. A quantitative comparison of the two\nmodels was also carried out using a generalization criterion method: the\nparameters were fit to data from one set of time intervals, and then these same\nparameters were used to predict data from another set of time intervals. The\nresults indicated that some features of both Markov and quantum models are\nneeded to accurately account for the results.\n