Swarms-based emotions modelling

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.

[1]  W. Blewitt,et al.  A Millenson-based approach to emotion modelling , 2008, 2008 Conference on Human System Interactions.

[2]  S. Haack Philosophy of logics , 1978 .

[3]  Aladdin Ayesh Structured Sound Based Language for Emotional Robotic Communicative Interaction , 2006, ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication.

[4]  Aladdin Ayesh,et al.  Fuzzy Individual Model (FIM) for Realistic Crowd Simulation: Preliminary Results , 2007, 2007 IEEE International Fuzzy Systems Conference.

[5]  P. Ekman An argument for basic emotions , 1992 .

[6]  Carlos Gershenson,et al.  Modelling emotions with multidimensional logic , 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).

[7]  K. Scherer What are emotions? And how can they be measured? , 2005 .

[8]  P. Ekman Are there basic emotions? , 1992, Psychological review.

[9]  K. Strongman,et al.  The psychology of emotion , 1973 .

[10]  Aladdin Ayesh,et al.  Perception and Emotion Based Reasoning: A Connectionist Approach , 2003, Informatica.