Affects affect affects: a markov chain

HIGHLIGHTS

  • who: Pietro Cipresso from the Autonomous University of Barcelona, Spain have published the article: Affects affect affects: A Markov Chain, in the Journal: (JOURNAL)
  • what: Markov chains model the probability of transitioning from one state to another over time, based on the current state of the system; for this reason, the authors propose this approach here to model the affects` transitions.
  • how: In the context of affective states these models can be used to understand the underlying latent states that give rise to the observed affective states.

SUMMARY

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