Abstract
In this paper, we take an incremental, bottom-up approach to investigate plausible mechanisms underlying emotional modulation of behavior selection and their adaptive value in autonomous robots. We focus in particular on achieving adaptive behavior selection in competitive robotic scenarios through modulation of perception, drawing on the notion of biological hormones. We discuss results from testing our architectures in two different competitive robotic scenarios.
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
Preview
Unable to display preview. Download preview PDF.
References
Ashby, W.R.: Design for a Brain. Chapman & Hall, London (1952)
Avila-García, O., Cañamero, L., te Boekhorst, R.: Analyzing the Performance of “Winner-Take-All” and “Voting-Based” Action Selection Policies within the Two-Resource Problem. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds.) ECAL 2003. LNCS (LNAI), vol. 2801, pp. 733–742. Springer, Heidelberg (2003)
Avila-García, O., Cañamero, L.: Using Hormonal Feedback to Modulate Action Selection in a Competitive Scenario. In: Proc. Eight Intl. Conf. Simulation of Adaptive Behavior (SAB 2004), pp. 243–252. MIT Press, Cambridge, MA (2004)
Blumberg, B.: Old Tricks, New Dogs: Ethology and Interactive Creatures. Unpublished PhD Thesis. MIT Media Laboratory, Cambridge, MA (1997)
Cañamero, L.D.: Modeling Motivations and Emotions as a Basis for Intelligent Behavior. In: Johnson, W.L. (ed.) Proc. First Intl. Conf. on Autonomous Agents, pp. 148–155. ACM Press, New York (1997)
Curio, E.: Proximate and Developmental Aspects of Antipredator Behavior. Adv. Study Behav. 22, 135–238 (1993)
Girard, B., Cuzin, V., Guillot, A., Gurney, K.N., Prescott, T.J.: Comparing a Brain-Inspired Robot Action Selection Mechanism with “Winner-Takes-All”. In: Proc. Seventh Intl. Conf.on Simulation of Adaptive Behavior, MIT Press, Cambridge (2002)
Kavaliers, M., Choleris, E.: Antipredator Responses and Defensive Behavior: Ecological and Ethological Approaches for the Neurosciences. Neuroscience and Biobehavioral Reviews 25, 577–586 (2001)
Kravitz, E.A.: Hormonal Control of Behavior: Amines and the Biasing of Behavioral Output in Lobsters. Science 241, 1175–1781 (1988)
Levitan, I.B., Kaczmarek, L.K.: The Neuron: Cell and Molecular Biology, 3rd edn. Oxford University Press, Oxford, UK (2002)
Lima, S.L.: Stress and Decision Making under the Risk of Predation: Recent Developments from Behavioral, Reproductive, and Ecological Perspectives. Adv. Study Behav. 27, 215–290 (1998)
Maes, P.: A Bottom-Up Mechanism for Behavior Selection in an Artificial Creature. In: Proc. First Intl.Conf. on Simulation of Adaptive Behavior (SAB 1990), pp. 238–246. MIT Press, Cambridge, MA (1991)
Meyer, J.-A.: The Animat Approach to Cognitive Science. In: Roitblat, H.L., Meyer, J.-A. (eds.) Comparative Approaches to Cognitive Science, pp. 27–44. MIT Press, Cambridge, MA (1995)
McFarland, D. (ed.): Motivational Control Systems Analysis. Academic Press, London (1974)
McFarland, D.: Animal Behaviour, 3rd edn. Addison Wesley Longman Ltd., Redwood City,CA, USA (1999)
Neal, M., Timmis, J.: Timidity: A Useful Emotional Mechanism for Robot Control? Informatica 27, 197–204 (2003)
Spier, E., McFarland, D.: Possibly Optimal Decision Making under Self-Sufficiency and Autonomy. J. Theor.Biol. 189, 317–331 (1997)
Toates, F.: Motivational Systems. Cambridge Univ. Press, Cambridge (1986)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cañamero, L., Avila-García, O. (2007). A Bottom-Up Investigation of Emotional Modulation in Competitive Scenarios. In: Paiva, A.C.R., Prada, R., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2007. Lecture Notes in Computer Science, vol 4738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74889-2_35
Download citation
DOI: https://doi.org/10.1007/978-3-540-74889-2_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74888-5
Online ISBN: 978-3-540-74889-2
eBook Packages: Computer ScienceComputer Science (R0)