Lövheim cube of emotion

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Lövheim Cube of emotion

Lövheim cube of emotion[1][2] is a proposed theoretical model aiming at explaining the relationship between the monoamine neurotransmitters and the emotions. The model was proposed in a paper of 2012 by Hugo Lövheim.[3] In the model, the three monoamine neurotransmitters serotonin, dopamine and noradrenaline form the axes of a coordinate system, and the eight basic emotions, labeled according to the affect theory of Silvan Tomkins, are placed in the eight corners. The origin corresponds to a situation where all three signal substance are low. The eight corners of the cube correspond to the eight possible combinations of low or high level of the three monoamines as shown in the table below. The model hence proposes a direct relation between specific combinations of the levels of the signal substances and certain basic emotions.[4]

Basic emotion Serotonin Dopamine Noradrenaline
Shame/humiliation Low Low Low
Distress/anguish Low Low High
Fear/terror Low High Low
Anger/rage Low High High
Contempt/disgust High Low Low
Surprise/startle High Low High
Enjoyment/joy High High Low
Interest/excitement High High High

Anger is for example, according to the model, produced by the combination of low serotonin, high dopamine and high noradrenaline.

Due to the direct relation to the monoamine neurotransmitters, the model might have an advantage compared to previous models of basic emotions such as, for example, Plutchik's Wheel of Emotions or the PAD emotional state model. Symptoms of depression might be interpreted as an emotional palette restricted to the low-serotonergic side of the Lövheim cube, where only the basic emotions shame/humiliation, distress/anguish, fear/terror and anger/rage are within reach. The core depressive symptoms of sadness and lack of interest can be interpreted as the inability to reach the basic emotions of joy and interest located on the high-serotonergic side.

"While the validity of the model remains unverified ... if valid it would allow direct extraction of emotions from given combinations of the monoamines (and possibly vice versa)."[5]

Lövheim's autonomic nervous system theory[edit]

Lövheim's two-dimensional autonomic nervous system model

Lövheim also proposed that the sympathetic and parasympathetic parts of the autonomic nervous system might be viewed as orthogonal axes, instead of viewing them as antagonists. The sympathetic axis were thought to represent arousal and the parasympathetic axis to represent secretion and possible positive versus negative valence.[6] This model corresponds, in a way, to the cube model of emotions (the sympathetic axis appears to be similar to the noradrenergic axis, and the parasympathetic axis to the serotonergic axis in the CNS).[citation needed]

In artificial emotion research[edit]

Lövheim’s cube model has come to use within the field of research into biologically inspired artificial emotions.[7][8][9][10][11]

"It bridges the psychological and neurobiological phenomena in one relatively easy to implement programmatically model based on three-dimensional space of three neuromodulators: noradrenaline, serotonin, dopamine, which is its main advantage from our perspective."[12]

See also[edit]

References[edit]

  1. ^ Lövheim, H (2012). "A new three-dimensional model for emotions and monoamine neurotransmitters". Med Hypotheses. 78: 341–348. doi:10.1016/j.mehy.2011.11.016. PMID 22153577. 
  2. ^ Larue, O (2013). "The emergence of (artificial) emotions from cognitive and neurological processes". Biologically Inspired Cognitive Architectures. 4: 54–68. doi:10.1016/j.bica.2013.01.001. 
  3. ^ Lövheim, H (February 2012). "A new three-dimensional model for emotions and monoamine neurotransmitters". Med. Hypotheses. 78: 341–8. doi:10.1016/j.mehy.2011.11.016. PMID 22153577. 
  4. ^ Lövheim, H (2012). "A new three-dimensional model for emotions and monoamine neurotransmitters". Med Hypotheses. 78: 341–348. doi:10.1016/j.mehy.2011.11.016. PMID 22153577. 
  5. ^ von Haugwitz R. Modulating Reinforcement- Learning Parameters Using Agent Emotions. (2012). Chalmers University of Technology, Master's Thesis. http://publications.lib.chalmers.se/records/fulltext/173825/173825.pdf
  6. ^ Lövheim H. A new perspective on the autonomic nervous system. (2013) Med Hypotheses, 81, 356. doi:10.1016/j.mehy.2013.05.005 Epub 2013 Jun 2 PMID 23735561
  7. ^ Talanov, M; Toschev, A. "Computational Emotional Thinking and Virtual Neurotransmitters.". International Journal of Synthetic Emotions. 5 (1): 1–8. doi:10.4018/ijse.2014010101. 
  8. ^ Kugurakova, V; Talanov, M; Manakhov, N; Ivanov, D. "Anthropomorphic Artificial Social Agent with Simulated Emotions and its Implementation. (2015)". Procedia Computer Science. 71: 112–118. doi:10.1016/j.procs.2015.12.217. 
  9. ^ Tchitchigin A, Talanov M, Safina L, Mazzara M. Robot Dream. (2016). arXiv:1603.03007
  10. ^ Jitviriya W, Koike M, Hayashi E. Emotional model for robotic system using a self-organizing map combined with Markovian model. (2015). Journal of Robotics and Mechatronics. 27 (5).
  11. ^ Hsu CM, Chen TT, Heh JS. Emotional and conditional model for pet robot based on neural network. (2014). 7th International Conference on Ubi-Media Computing and Workshops. 305-308. IEEE Xplore Digital Library. ieeexplore.ieee.org. doi:10.1109/U-MEDIA.2014.33
  12. ^ Tchitchigin A, Talanov M, Safina L, Mazzara M. Robot Dream. (2016). arXiv:1603.03007