Abstract
We present a schema-based agent architecture which is inspired by an ethological model of the praying mantis. It includes an inner state, perceptual and motor schemas, several routines, a fovea and a motor. We describe the design and implementation of the architecture and we use it for comparing two models: the former uses reactive, stimulus-response schemas; the latter involves also forward models, which are used by the schemas for generating predictions. Our results show an advantage in using anticipatory components inside the schemas.
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Arbib, M.A.: Schema Theory. In: Shapiro, S. (ed.) The Encyclopedia of Artificial Intelligence, 2nd edn., vol. 2, pp. 1427–1443. Wiley, Chichester (1992)
Arkin, R.C., Ali, K., Weitzenfeld, A., Cervantes-Pérez, F.: Behavioral models of the praying mantis as a basis for robotic behavior. Robotics and Autonomous Systems 32(1), 39–60 (2000)
Barsalou, L.W.: Perceptual symbol systems. Behavioral and Brain Sciences 22, 577–600 (1999)
Bryson, J.: The Study of Sequential and Hierarchical Organisation of Behaviour via Artificial Mechanisms of Action Selection. M.Phil Thesis. University of Edinburgh (2000)
Crabbe, F.L.: Optimal and non-optimal compromise strategies in action selection. In: Proceedings of SAB 2004 (2004)
Demiris, Y., Khadhouri, B.: Hierarchical Attentive Multiple Models for Execution and Recognition (HAMMER). Robotics and Autonomous Systems Journal (2005)
Grush, R.: The emulation theory of representation: Motor control, imagery, and perception. Behavioral and Brain Sciences 27(3), 377–396 (2004)
Gurney, K.N., Prescott, T.J., Redgrave, P.: A computational model of action selection in the basal ganglia, I. A new functional anatomy. Biological Cybernetics 84, 401–410 (2001)
Hopfinger, J.B., Buonocore, M.H., Mangun, G.R.: The neural mechanisms of top-down attentional control. Nature Neuroscience 3(3), 284–291 (2000)
Itti, L., Koch, C.: Computational modeling of visual attention. Nature Reviews Neuroscience 2(3), 194–203 (2001)
Jacobs, R.A., Jordan, M.I., Nowlan, S.J., Hinton, G.E.: Adaptive mixtures of local experts. Neural Computation 3, 79–87 (1991)
James, W.: The Principles of Psychology. Dover Publications, New York (1890)
Kosko, B.: Neural Networks and Fuzzy Systems. Prentice Hall International Inc., Singapore (1992)
Kosslyn, S.M., Sussman, A.L.: Roles of imagery in perception: Or, there is no such thing as immaculate perception. In: Gazzaniga, M. (ed.) The cognitive neurosciences, pp. 1035–1042. MIT Press, Cambridge (1994)
Kupfermann, I., Weiss, K.: The command neuron concept. Behavioral and Brain Sciences 1, 3–39 (1978)
Maes, P.: A Bottom-Up Mechanism for Behavior Selection in an Artificial Creature. In: Meyer, J.A., Wilson, S.W. (eds.) Proceedings of SAB 1990, pp. 238–246. The MIT Press, Cambridge (1990)
O’Regan, J.K., Noe, A.: A sensorimotor account of vision and visual consciousness. Behavioral and Brain Sciences 24(5), 883–917 (2001)
Pezzulo, G., Calvi, G., Lalia, D., Ognibene, D.: Fuzzy-based Schema Mechanisms in AKIRA. In: Mohammadian, M. (ed.) Proceedings of CIMCA 2005, Vienna (2005)
Pezzulo, G., Calvi, G.: Dynamic Computation and Context Effects in the Hybrid Architecture AKIRA. In: Dey, A.K., Kokinov, B., Leake, D.B., Turner, R. (eds.) CONTEXT 2005. LNCS (LNAI), vol. 3554, pp. 368–381. Springer, Heidelberg (2005)
Tani, J., Nolfi, S.: Learning to perceive the world as articulated: An approach for hierarchical learning in sensory-motor systems. Neural Networks 12, 1131–1141 (1999)
Tyrrell, T.: Computational Mechanisms for Action Selection. PhD thesis, University of Edinburgh (1993)
Wolpert, D.M., Kawato, M.: Multiple paired forward and inverse models for motor control. Neural Networks 11(7-8), 1317–1329 (1998)
Yarbus, A.: Eye Movements and Vision. Plenum Press, New York (1967)
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Pezzulo, G., Calvi, G. (2006). A Schema Based Model of the Praying Mantis. In: Nolfi, S., et al. From Animals to Animats 9. SAB 2006. Lecture Notes in Computer Science(), vol 4095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840541_18
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DOI: https://doi.org/10.1007/11840541_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38608-7
Online ISBN: 978-3-540-38615-5
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