Teaching agents to understand teamwork: Evaluating and predicting collective intelligence as a latent variable via Hidden Markov Models.
Michelle ZhaoFade R. EadehThuy-Ngoc NguyenPranav GuptaHenny AdmoniCleotilde GonzalezAnita Williams WoolleyPublished in: Comput. Hum. Behav. (2023)
Keyphrases
- hidden markov models
- collective intelligence
- latent variables
- latent variable models
- multi agent
- probabilistic model
- swarm intelligence
- computational collective intelligence
- speech recognition
- markov models
- random variables
- conditional random fields
- real valued
- prior knowledge
- social networking
- hidden states
- sequence classification
- hidden state
- gaussian process
- hidden variables
- machine learning
- markov model
- sequential data
- computational intelligence
- latent space
- social media
- structured prediction
- viterbi algorithm
- feature space
- stochastic context free grammars
- baum welch
- genetic algorithm