In this paper an adaptive decision model based on predictive loops through feeling states is analysed from the perspective of rationality. Four different variations of Hebbian learning are considered for different types of connections in the decision model. To assess the extent of rationality, a measure is introduced reflecting the environment's behaviour. Simulation results and the extents of rationality of the different models over time are presented and analysed. © 2011 Springer-Verlag.
|Journal||Lecture Notes in Computer Science|
|Publication status||Published - 2011|
|Event||18th International Conference on Neural Information Processing, ICONIP'11, Part III - |
Duration: 1 Jan 2011 → 1 Jan 2011