Abstract
In this position paper we present a novel approach to neurobiologically plausible implementation of emotional reactions and behaviors for real-time autonomous robotic systems. The working metaphor we use is the “day” and “night” phases of mammalian life. During the “day” phase a robotic system stores the inbound information and is controlled by a light-weight rule-based system in real time. In contrast to that, during the “night” phase the stored information is been transferred to the supercomputing system to update the realistic neural network: emotional and behavioral strategies.
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References
Ahn, H., Picard, R.W.: Affective cognitive learning and decision making: the role of emotions. In: The 18th European Meeting on Cybernetics and Systems Research (EMCSR 2006) (2006)
Arbib, M., Fellous, J.M.: Emotions: from brain to robot. Trends Cogn. Sci. 8(12), 554–559 (2004)
Breazeal, C.: Designing Sociable Robots. MIT Press (2004)
Breazeal, C.: Emotion and Sociable Humanoid Robots. Elsevier Science (2002)
Damasio, A.: Descartes’ Error: Emotion, Reason, and the Human Brain. Penguin Books (1994)
Damasio, A.: The Feeling of What Happens: Body and Emotion in the Making of Consciousness, New York (1999)
Damasio, A.R.: Emotion in the Perspective of an Integrated Nervous System. Brain Res. Rev. (1998)
Fellous, J.M.: The neuromodulatory basis of emotion. Neuro-Scientist 5, 283–294 (1999)
Gewaltig, M.O., Diesmann, M.: Nest (neural simulation tool). Scholarpedia 2(4), 1430 (2007)
Gratch, J., Marsella, S.: Evaluating a computational model of emotion. Auton. Agents Multi-Agent Syst. 11, 23–43 (2005)
Harrison, A.: jACT-R: JAVA ACT-R. In: Proceedings of the 8th Annual ACT-R Workshop (2002)
Himeno, R.: Largest neuronal network simulation achieved using k computer (2013). http://www.riken.jp/en/pr/press/2013/20130802_1
Laird, J.E.: Extending the soar cognitive architecture (2008). http://ai.eecs.umich.edu/people/laird/papers/Laird-GAIC.pdf
Lovheim, H.: A new three-dimensional model for emotions and monoamine neurotransmitters. Med. Hypotheses 78(78), 341–348 (2012)
Lowe, R., Ziemke, T.: The role of reinforcement in affective computation triggers, actions and feelings. In: IEEE Symposium on Computational Intelligence for Creativity and Affective Computing (CICAC) (2013)
Marsella, S., Gratch, J.: Modeling coping behavior in virtual humans: don’t worry, be happy. In: Appears in the 2nd International Joint Conference on Autonomous Agents and Multiagent Systems (2003)
Marsella, S., Gratch, J., Petta, P.: Computational models of emotion. In: Scherer, K., Bänziger, T., Roesch, E. (eds.) A Blueprint for a Affective Computing: A Sourcebook and Manual. Oxford University Press, Oxford (2010)
Murata, A., Fadiga, L., Fogassi, L., Gallese, V., Raos, V., Rizzolatti, G.: Object representation in the ventral premotor cortex (area f5) of the monkey. J Neurophysiol. 78(4), 2226–30 (1997)
Picard, R.W.: Affective computing. Technical report. M.I.T Media Laboratory Perceptual Computing Section (1995)
Picard, R.W.: Affective Computing. Massachusets Institute of Technology (1997)
Picard, R.W.: What does it mean for a computer to “have” emotions? In: Trappl, R., Petta, P., Payr, S. (eds.) Emotions in Humans and Artifacts (2001)
Picard, R.W.: Affective computing: challenges. Int. J. Hum.-Comput. Stud. 59, 55–64 (2003)
Samsonovich, A.V.: Modeling human emotional intelligence in virtual agents. Technical report. Association for the Advancement of Artificial Intelligence (2013)
Talanov, M., Toschev, A.: Computational emotional thinking and virtual neurotransmitters. Int. J. Synth. Emot. (IJSE) 5(1) (2014)
Talanov, M., Vallverdú, J., Distefano, S., Mazzara, M., Delhibabu, R.: Neuromodulating cognitive architecture: towards biomimetic emotional AI. In: Advanced Information Networking and Applications (AINA), pp. 587–592 (2015). ISSN: 1550-445X
Tomkins, S.: Affect Imagery Consciousness. Vol. 1: The Positive Affects. Springer, New York (1962)
Tomkins, S.: Affect Imagery Consciousness. Vol. I, II, III. Springer, New York (1962, 1963, 1991)
Tomkins, S.: Affect Imagery Consciousness. Vol. II: The Negative Affects. Springer, New York (1963)
Tomkins, S.: The quest for primary motives: biography and autobiography of an idea. J. Pers. Soc. Psychol 41, 306–335 (1981)
Vallverdú, J., Talanov, M., Distefano, S., Mazzara, M., Tchitchigin, A., Nurgaliev, I.: A cognitive architecture for the implementation of emotions in computing systems. In: Biologically Inspired Cognitive Architectures (2015)
Wang, P.: Non-Axiomatic Logic: A Model of Intelligent Reasoning. World Scientific (2013)
Ziemke, T., Lowe, R.: on the role of emotion in embodied cognitive architectures: from organisms to robots. Cogn. Comput. 1, 104–117 (2009)
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Tchitchigin, A., Talanov, M., Safina, L., Mazzara, M. (2016). Robot Dream. In: Jezic, G., Chen-Burger, YH., Howlett, R., Jain, L. (eds) Agent and Multi-Agent Systems: Technology and Applications. Smart Innovation, Systems and Technologies, vol 58. Springer, Cham. https://doi.org/10.1007/978-3-319-39883-9_24
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DOI: https://doi.org/10.1007/978-3-319-39883-9_24
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