Skip to main navigation Skip to search Skip to main content

Artificial emotional model based on finite state machine

  • Qing Mei Meng
  • , Wei Guo Wu*
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

According to the basic emotional theory, the artificial emotional model based on the finite state machine(FSM) was presented. In finite state machine model of emotion, the emotional space included the basic emotional space and the multiple emotional spaces. The emotion-switching diagram was defined and transition function was developed using Markov chain and linear interpolation algorithm. The simulation model was built using Stateflow toolbox and Simulink toolbox based on the Matlab platform. And the model included three subsystems: the input one, the emotion one and the behavior one. In the emotional subsystem, the responses of different personalities to the external stimuli were described by defining personal space. This model takes states from an emotional space and updates its state depending on its current state and a state of its input (also a state-emotion). The simulation model realizes the process of switching the emotion from the neutral state to other basic emotions. The simulation result is proved to correspond to emotion-switching law of human beings.

Original languageEnglish
Pages (from-to)694-699
Number of pages6
JournalJournal of Central South University of Technology (English Edition)
Volume15
Issue number5
DOIs
StatePublished - Oct 2008

Keywords

  • Artificial emotion model
  • Finite state machine
  • Markov chain
  • Simulation

Fingerprint

Dive into the research topics of 'Artificial emotional model based on finite state machine'. Together they form a unique fingerprint.

Cite this