Abstract
We describe a model of emotion and motivation that extends the MicroPsi motivation model for applications in conversational agents and tracking human emotions. The model is based on reactions of the agent to satisfaction and frustration of physiological, cognitive or social needs, and to changes of the agent’s expectations regarding such events. The model covers motivational states, affective states (modulation of cognition), feelings (sensations that correspond to a situation appraisal), emotions (conceptual aggregates of motivational states, modulators and feelings) and is currently being adapted to express emotional states.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bach, J.: Principles of Synthetic Intelligence – An architecture of motivated cognition. Oxford University Press, Oxford (2009)
Bach, J.: Functional Modeling of Personality Properties Based on Motivational Traits. In: Proceedings of ICCM 7, pp. 271–272. Berlin, Germany (2012a)
Bach, J.: A framework for emergent emotions based on motivation and cognitive modulators. Int. J. Synth. Emotions (IJSE) 3(1), 43–63 (2012)
Bach, J.: Modeling Motivation in MicroPsi 2. In: 8th International Conference Artificial General Intelligence, AGI 2015, pp. 3–13. Berlin, Germany (2015)
Cai, Z., Goertzel, B., Zhou, C., Zhang, Y., Jiang, M., Yu, G.: OpenPsi: dynamics of a computational affective model inspired by Dörner’s PSI theory. Cognitive Syst. Res. 17–18(2012), 63–80 (2012)
Carver, C.S., Scheier, M.F.: On the Self-Regulation of Behavior. Cambridge University Press, Cambridge (1998)
Cowen, A.S., Kentner, D.: Self-report captures 27 distinct categories of emotion bridged by continuous gradients. PNAS August 2017
Deci, E.L., Ryan, R.M.: The ‘what’ and ‘why’ of goal pursuits: human needs and the self-determination of behavior. Psychol. Inquiry 11, 227–268 (2000)
Dörner, D.: Bauplan für eine Seele. Reinbeck (1999)
Elliot, A.J., Church, M.A.: A hierarchical model of approach and avoidance achievement motivation. J. Personality and Social Psychol. 72, 218–232 (1997)
Gratch, J., Marsella, S.: EMA: a process model of appraisal dynamics. Cognitive Syst. Res. 10, 70–90 (2009)
Higgins, E.T.: Ideals, oughts, and regulatory focus: affect and motivation from distinct pains and pleasures. In: Gollwitzer, P.M., Bargh, J.A. (eds.) The Psychology of Action: Linking Cognition and Motivation to Behavior, pp. 91–114. Guilford, New York (1996)
Hutter, M.: Universal Artificial Intelligence: Sequential Decisions based on Algorithmic Probability. Springer, EATCS Book (2005)
LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521, 436–444 (2015)
Marcus, G.F., Marblestone, A.H., Dean, T.L.: The atoms of neural computation. Science 346, 551–552 (2014)
Mehrabian, A.: Basic Dimensions for a General Psychological Theory, pp. 39–53. Gunn & Hain Publishers, Oelgeschlager (1980)
Minsky, M.: The Emotion Machine. Simon and Shuster, New York (2006)
Newell, A.: Unified Theories of Cognition. Harvard University Press, Cambridge (1990)
Nummenmaa, L., Glerean, E., Hari, R., Hietanen, J.K.: Bodily maps of emotions. PNAS, Dec 2013, 201321664 (2013)
Orthony, G., Clore, A., Collins, A.: The cognitive structure of emotions. Cambridge University Press, Cambridge (1988)
Wundt, W.: Gefühlselemente des Seelenlebens. In: Grundzüge der physiologischen Psychologie II. Leipzig: Engelmann (1910)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Bach, J., Coutinho, M., Lichtinger, L. (2019). Extending MicroPsi’s Model of Motivation and Emotion for Conversational Agents. In: Hammer, P., Agrawal, P., Goertzel, B., Iklé, M. (eds) Artificial General Intelligence. AGI 2019. Lecture Notes in Computer Science(), vol 11654. Springer, Cham. https://doi.org/10.1007/978-3-030-27005-6_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-27005-6_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-27004-9
Online ISBN: 978-3-030-27005-6
eBook Packages: Computer ScienceComputer Science (R0)