Creating and Capturing Artificial Emotions in Autonomous Robots and Software Agents
DOI:
https://doi.org/10.13052/jwe1540-9589.2043Keywords:
Autonomous agents, artificial emotions, agent knowledge graphs.Abstract
This paper presents ARTEMIS, a control system for autonomous robots or software agents. ARTEMIS can create human-like artificial emotions during interactions with their environment. We describe the underlying mechanisms for this. The control system also captures its past artificial emotions. A specific interpretation of a knowledge graph, called an Agent Knowledge Graph, stores these artificial emotions. ARTEMIS then utilizes current and stored emotions to adapt decision making and planning processes. As proof of concept, we realize a concrete software agent based on the ARTEMIS control system. This software agent acts as a user assistant and executes their orders and instructions. The environment of this user assistant consists of several other autonomous agents that offer their services. The execution of a user’s orders requires interactions of the user assistant with these autonomous service agents. These interactions lead to the creation of artificial emotions within the user assistant. The first experiments show that it is possible to realize an autonomous user assistant with plausible artificial emotions with ARTEMIS and record these artificial emotions in its Agent Knowledge Graph. The results also show that captured emotions support successful planning and decision making in complex dynamic environments. The user assistant with emotions surpasses an emotionless version of the user assistant.
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J.R. Anderson and C. Lebiere. The atomic components of thought. Lawrence Erlbaum Associates Publishers, 1998.
E. André, M. Klesen, P. Gebhard, S. Allen, and T. Rist. Integrating Models of Personality and Emotions into Lifelike Characters. In Affective Interactions, LNAI 1814, 2000.
D. Antos and A. Pfeffer. Using Emotions to Enhance Decision-Making. Proceedings of IJCAI, 2011.
C. Becker, S. Kopp, and I. Wachsmuth. Simulating the Emotion Dynamics of a Multimodal Conversational Agent. In Affective Dialogue Systems, LNCS, 3068, 2004.
C. Breazeal. Designing Sociable Robots. MIT Press, 2002.
D. Cañamero. Modeling motivations and emotions as a basis for intelligent behavior. In Proceedins of the First International Symposium on Autonomous Agents. doi 10.1145/267658.267688, 1997.
F. Detje. Handeln erklären. DUV Deutscher Universitätsverlag, doi 10.1007/978-3-663-08224-8, Bamberg, 1999.
D. Dörner and T. Stäudel. Emotion und Kognition. In K.R. Scherer (Eds.), Psychologie der Emotion, Göttingen, 1990.
D. Dörner, H. Schaub, and F. Detje. Das Leben von PSI. Über das Zusammenspiel von Kognition, Emotion und Motivation – oder: Eine einfache Theorie komplexer Verhaltensweisen. In R. von Lüde, D. Moldt, and R. Valk (Eds.), Sozionik aktuell, 2, Informatik Universität Hamburg, 2001.
D. Dörner. Die Mechanik des Seelenwagens – Eine neuronale Theorie der Handlungsregulation. (The mechanics of the soul car – A neuronal theory of action regulation). Huber, Bern, 2002.
D. Dörner. The Mathematics of Emotion. In The Logic of Cognitive Systems, Fifth International Conference on Cognitive Modelling, Universitätsverlag Bamberg, 2003.
D. Dörner and C.D. Güss. PSI: A computational architecture of cognition, motivation, and emotion. In Review of General Psychology, 17, 3, 297–317, 2013.
J. Dominique, D. Fensel, J. Davies, R. González-Cabero, and C. Pedrinaci. The service web: a web of billions of services. In G. Tselentis, J. Domingue, A. Galis, A. Gavras, D. Hausheer, S. Krco, V. Lotz, and T. Zahariadis (Eds.), Towards a Future Internet: a European Research Perspective, 203–216, IOS Press, Amsterdam, 2009.
P. Ekman and D. Cortavro. What is meant by calling emotions basic. In Emotion review, 3, 4, 364–370, 2011
S.C. Gadanho. Learning Behavior-Selection by Emotions and Cognition in a Multi-Goal Robot Task. In Journal of Machine Learning Research, 4, 385–412, 2003.
P. Gaerdenfors. The Geometry of Meaning: Semantics based on Conceptual Spaces. The MIT Press, Cambridge, Massachusetts, London, 2014.
S. Graupner, H.R.M. Netzad, and S. Singhal. Making Processes from Best Practice Frameworks Actionable. In Proceedings of 13th Enterprise Distributed Object Computing Conference Workshops, 2009.
N.M. Hakak, M. Mohd, M. Kirmani, and M. Mohd. Emotion Analysis: A Survey. In Proceedings of International Conference on Computer, Communications and Electronics (Comptelix), Manipal University Jaipur, Malaviya, 2017.
C. Hoffmann and M.E. Vidal. Creating and Capturing Artificial Emotions in Autonomous Robots and Software Agents. In Bielikova M., Mikkonen T., Pautasso C. (eds), Web Engineerign, ICWE 2020 Lecture Notes in Computer Science, 12128, Springer, Cham, 2020.
E. Hudlicka. What are we modelling when we model emotions? In AAAI spring symposium: emotion, personality, and behavior, 8, 2008.
H. Jiang and M.N. Huhns. EBDI: an architecture for emotional agents. In Proceedings of 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), Honolulu, Hawaii, USA, 2007.
D. Kahneman and A. Tversky. Prospect Theory: An Analysis of Decision under Risk. In Econometrica 47.2 (1979): 263–292, 1979.
Z. Kowalczuk and M. Czubenko. Computational Approaches to Modelling Artificial Emotion – An Overview of the Proposed Solutions. Front. Robot. AI 3-21, 2016.
J.E. Laird, A. Newell, and P.S. Rosenbloom. Soar: An architecture for general intelligence In Artificial intelligence, 33.1, 1–64. 1987.
J. Lin, M. Spraragen, and M. Zyda. Computational models of emotion and cognition. In Advances in Cognitive Systems, 2012.
R.P. Marinier, J.E. Laird, and R.L. Lewis. A computational unification of cognitive behavior and emotion. In Cognitive Systems Research, 10, 1, 48–69, 2009.
S.C Marcella and J. Gratch. EMA: A process model of appraisal dynamics. In Cognitive Systems Research 10, 2009.
S. Marsella, J. Gratch, and P. Petta. Computational Models of Emotion. In K.R. Scherer, T. Bänziger, and E. Roesch (eds.), A Blueprint for Affective Computing: A Sourcebook and Manual, OXFORD UNIV PR, 2010.
A. Mehrabian. Framework for a comprehensive description and measurement of emotional states. In Genetic, Social, and General Psychology Monographs, 121, 339–361, 1995.
A. Mehrabian. Pleasure-Arousal-Dominance: A General Framework for Describing and Measuring Individual Differences in Temperament. In Current Psychology: Developmental Learning Personality, Social Winter, 14, 4, 261–292, 1996.
A. Moors, P.C. Ellsworth, K.R. Scheerer, and N.H.Frijda. Appraisal theories of emotion: State of the art and future development. In Emotion Review, 2, 119–124, 2013
A. Newell. Unified theories of cognition. Harward University Press, 1994.
A. Ortony, G.L. Clore, and A. Collins. The Cognitive Structure of Emotions. NY: Cambridge, 1988.
A. Rao and M. Georgeff. Modelling rational agents within a BDI-architecture. In Proceedings of the International Conference on Principles of Knowledge Representation and Planning, Morgan Kaufmann publischers, San Mateo, California, 1991.
RDFLib Homepage. https://rdflib.readthedocs.io/en/stable/. Last accessed 2020-10-28.
S.J. Russell, and P. Norvig. Artificial intelligence: a modern approach. Prentice Hall, 2009.
M.A. Salichs and M. Malfaz. A New Approach to Modeling Emotions and their Use on Decision-Making System for Artificial Agents. In IEEE Transactions on Affective Computing, 3, 1, 2012.
K.R. Scherer. On the nature and function of emotions: A component process approach. In Approaches to emotion, 2293, 1984.
K.R. Scherer. The component process model: Architecture for a comprehensive computational model of emergent emotion. In K.R. Scherer , T. Bänziger, and E.B. Roesch (eds.), Blueprint for Affective Computing: A Sourcebook, 47–70, Oxford University Press, 2010.
C.A. Smith and P.C. Ellsworth. Patterns of Cognitive Appraisal in Emotion. In Journal of Personality and Social Psychology, 48, 4, 813–838, 1985.
C.A. Smith and R.S. Lazarus. Emotion and Adaptation. In Handbook of Personality: Theory and Research, 1990.
The Event Ontology. http://motools.sourceforge.net/event/event.html Last accessed: 2020-10-28.
J.D. Velásquez. When robots weep: Emotional memories and decision-making. In Proceedings of the Fifteenth National Conference on Artificial Intelligence, 1999.
Verein Berliner Kaufleute und Industrieller. Leitsätze ehrbarer Kaufleute. https://www.vbki.de/leitsaetze last accessed: 2020-10-25.
Wikipedia. Honourable Merchant. https://en.wikipedia.org/wiki/Honourable_Merchant last accessed: 2020-10-25.
M. Wooldridge, An Introduction to Multi Agent Systems. John Wiley and Sons, United Kingdom, 2009.
