Swarms-based emotions modeling

Aladdin Ayesh*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Emotion modelling started to attract the interest of researchers from knowledge representation, reasoning and decision-making fields. The advances in cognitive systems development and applications encouraged this interest. Whilst there are many psychological theories and models of emotions, there were few that made the translation to computational models. In addition, the physiological elements of emotions and emotional energies were not considered in computational terms at all whilst they would be of great benefits in developing synthetic believable characters in games and virtual realities. This paper aims to break though and move beyond the Darwinian based computational models of emotions by proposing a swarms-based emotional model. This model will be shown to be more of a framework for implementing a variety of particle based emotional algorithms.

Original languageEnglish
Pages (from-to)118-124
Number of pages7
JournalInternational Journal of Bio-Inspired Computation
Volume1
Issue number1-2
Publication statusPublished - 2009
Externally publishedYes

Keywords

  • Emotional state
  • Emotions modelling
  • Particle-based swarms
  • Swarm intelligence

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