Damasio’s Somatic Marker for Social Robotics: Preliminary Implementation and Test
How experienced emotional states, induced by the events that emerge in our context, influence our behaviour? Are they an obstacle or a helpful assistant for our reasoning process? Antonio Damasio gave exhaustive answers to these questions through his studies on patients with brain injuries. He demonstrated how the emotions guide decision-making and he has identified a region of the brain which has a fundamental role in this process. Antoine Bechara devised a test to validate the proper functioning of that cortical region of the brain. Inspired from Damasio’s theories we developed a mechanism in an artificial agent that enables it to represent emotional states and to exploit them for biasing its decisions. We also implement the card gambling task that Bechara used on his patients as a validating test. Finally we put our artificial agent through this test for 100 trials. The results of this experiment are analysed and discussed highlighting the demonstrated efficiency of the implemented somatic marker mechanism and the potential impact of this system in the field of social robotics.
KeywordsSomatic marker hypothesis Human-inspired Cognitive systems Artificial intelligence Emotion Decision-making Reinforcement learning
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- 3.Bechara, A., Damasio, H., Damasio, A.R., Lee, G.P.: Different contributions of the human amygdala and ventromedial prefrontal cortex to decision-making. The Journal of Neuroscience 19(13), 5473–5481 (1999)Google Scholar
- 6.Borst, C.V.: The Mind-Brain Identity Theory: A Collection of Papers. St Martin’s P., New York (1970)Google Scholar
- 7.Breazeal, C., Velasquez, J.: Robot in society: friend or appliance. In: Proceedings of the 1999 Autonomous Agents Workshop on Emotion-Based Agent Architectures, pp. 18–26 (1999)Google Scholar
- 8.Damasio, A.: Descartes’ Error: Emotion, Reason, and the Human Brain. Grosset/Putnam, New York (1994)Google Scholar
- 9.Damasio, A.R., Tranel, D., Damasio, H.: Somatic markers and the guidance of behavior: Theory and preliminary testing. Frontal Lobe Function and Dysfunction, 217–229 (1991)Google Scholar
- 10.Gadanho, S., Hallam, J.: Emotion triggered learning for autonomous robots. DAI Research Paper (1998)Google Scholar
- 11.Giarratano, J.C., Riley, G.D.: Expert Systems: Principles and Programming. Brooks/Cole Publishing Co., Pacific Grove (2005)Google Scholar
- 12.Gray, E.K., Watson, D., Payne, R., Cooper, C.: Emotion, mood, and temperament: Similarities, differences, and a synthesis. Emotions at work: Theory, research and applications for management, 21–43 (2001)Google Scholar
- 14.Mazzei, D., Billeci, L., Armato, A., Lazzeri, N., Cisternino, A., Pioggia, G., Igliozzi, R., Muratori, F., Ahluwalia, A., De Rossi, D.: The face of autism. In: The 19th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2010, pp. 791–796. IEEE Computer Society publisher (2010)Google Scholar
- 15.Mazzei, D., Cominelli, L., Lazzeri, N., Zaraki, A., De Rossi, D.: I-CLIPS brain: a hybrid cognitive system for social robots. In: Duff, A., Lepora, N.F., Mura, A., Prescott, T.J., Verschure, P.F.M.J. (eds.) Living Machines 2014. LNCS, vol. 8608, pp. 213–224. Springer, Heidelberg (2014) Google Scholar
- 16.Pally, R.: Emotional processing: The mind-body connection. The International Journal of Psychoanalysis (1998)Google Scholar
- 19.Velasquez, J.: Modeling emotion-based decision-making. Emotional and intelligent: The tangled knot of cognition, 164–169 (1998)Google Scholar