RESEARCH POSTER PRESENTATION DESIGN © 2019
It is aproven fact in social sciences that desires for food intake can occur as a result of
negative emotions. On the other hand, a negative emotion like anxiety also brings
along psychological health issues. In such a situation it’s quite a feasible option to get
rid of the worse before the bad.In this paper, a cognitive agent model for food desire
regulation is presented wherein Hebbian learning helps in breaking the bond between
anxiety or stress and desire for food intake as a result. Simulation results of the model
illustrate the food desire and its regulation.
Scenario for the simulation
Anna wants to lose her weight to look attractive, so she undergoes a dietary plan.
Every time her coworker brings some pastries, her desire for food arises but she
efficiently controls her food desires by reappraising her belief about food and putting
her dietary goals in front of her. However, it becomes difficult for her when she has a
particularly anxious week. She tries to suppress her desire for food but it proves
maladaptive and she ends up in eating. After eating she feels stressed because she was
on diet, she neither enjoyed the food nor complied with her dietary plans.
Social AI Group, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
Nimat Ullah and Jan Treur
The Choice Between Bad and Worse:
A Cognitive Agent Model for Desire Regulation under Stress
•Highlighting the role of anxiety in emotional eating and hence obesity.
•Breaking cycle of anxiety and binging by
•Elimination of anxiety by moderate level of stress.
t )= Y(t)
Temporal-Causal Model for Desire Regulation
Expressive suppression without Hebbian learning
Expressive suppression with Hebbian learning
Hebbian learning while using expressive suppression
Reappraisal to handle desire for food intake