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Intentional strategies that make co-actors more predictable: The case of signaling

Published online by Cambridge University Press:  24 June 2013

Giovanni Pezzulo
Affiliation:
Istituto di Linguistica Computazionale “Antonio Zampolli,”CNR, 56124 Pisa, Italy. Istituto di Scienze e Tecnologie della Cognizione, CNR, 00185 Roma, Italy. giovanni.pezzulo@istc.cnr.ithttp://www.istc.cnr.it/people/giovanni-pezzulo
Haris Dindo
Affiliation:
Computer Science Engineering, University of Palermo, 90128 Palermo, Italy. haris.dindo@unipa.ithttp://roboticslab.dinfo.unipa.it/index.php/People/HarisDindo

Abstract

Pickering & Garrod (P&G) explain dialogue dynamics in terms of forward modeling and prediction-by-simulation mechanisms. Their theory dissolves a strict segregation between production and comprehension processes, and it links dialogue to action-based theories of joint action. We propose that the theory can also incorporate intentional strategies that increase communicative success: for example, signaling strategies that help remaining predictable and forming common ground.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2013 

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References

Bargh, J. A. & Chartrand, T. L. (1999) The unbearable automaticity of being. American Psychologist 54:462–79.Google Scholar
Clark, H. H. (1996) Using language. Cambridge University Press.CrossRefGoogle Scholar
D'Ausilio, A., Badino, L., Li, Y., Tokay, S., Craighero, L., Canto, R., Aloimonos, Y. & Fadiga, L. (2012a) Leadership in orchestra emerges from the causal relationships of movement kinematics. PLoS ONE 7(5): e35757. DOI:10.1371/journal.pone.0035757.Google Scholar
Dindo, H., Zambuto, D. & Pezzulo, G. (2011) Motor simulation via coupled internal models using sequential Monte Carlo. Proceedings of IJCAI 2011:2113–19.Google Scholar
Frith, C. D. & Frith, U. (2008) Implicit and explicit processes in social cognition. Neuron 60(3):503–10. DOI:10.1016/j.neuron.2008.10.032.Google Scholar
Garrod, S. & Pickering, M. J. (2004) Why is conversation so easy? Trends in Cognitive Sciences 8(1):811.CrossRefGoogle ScholarPubMed
Grush, R. (2004) The emulation theory of representation: Motor control, imagery, and perception. Behavioral and Brain Sciences 27(3):377–96.Google Scholar
Kuhl, P. K., Andruski, J. E., Chistovich, I. A., Chistovich, L. A., Kozhevnikova, E. V., Ryskina, V. L., Stolyarova, E. I., Sundberg, U. & Lacerda, F. (1997) Cross-language analysis of phonetic units in language addressed to infants. Science 277(5326):684–86.Google Scholar
Levinson, S. C. (2006) On the human “interaction engine.” In: Roots of human sociality: Culture, cognition and interaction, ed. Enfield, N. J. & Levinson, S. C. (Cur.), pp. 3969. Berg.Google Scholar
Moore, R. K. (2007) PRESENCE: A human-inspired architecture for speech-based human–machine interaction. IEEE Transactions on Computers 56(9):1176–88.Google Scholar
Pezzulo, G. (2011b) The “interaction engine”: A common pragmatic competence across linguistic and non-linguistic interactions. IEEE Transactions on Autonomous Mental Development. 4(2):105–23.Google Scholar
Pezzulo, G. (2011c) Shared representations as coordination tools for interactions. Review of Philosophy and Psychology. 2(2):303–33.Google Scholar
Pezzulo, G. & Dindo, H. (2011) What should I do next? Using shared representations to solve interaction problems. Experimental Brain Research 211(3):613630.CrossRefGoogle Scholar
Pickering, M. J. & Garrod, S. (2004) Toward a mechanistic psychology of dialogue. Behavioral and Brain Sciences 27(2):169226.CrossRefGoogle Scholar
Sartori, L., Becchio, C., Bara, B. G. & Castiello, U. (2009) Does the intention to communicate affect action kinematics? Consciousness and Cognition 18(3):766–72. DOI: 10.1016/j.concog.2009.06.004.Google Scholar
Sebanz, N., Bekkering, H. & Knoblich, G. (2006a) Joint action: Bodies and minds moving together. Trends in Cognitive Sciences 10(2):7076.CrossRefGoogle ScholarPubMed
Vesper, C., van der Wel, R. P. R. D., Knoblich, G. & Sebanz, N. (2011) Making oneself predictable: Reduced temporal variability facilitates joint action coordination. Experimental Brain Research 211(3–4):517–30. DOI:10.1007/s00221-011-2706-z.CrossRefGoogle ScholarPubMed
Wolpert, D. M., Doya, K. & Kawato, M. (2003) A unifying computational framework for motor control and social interaction. Philosophical Transactions of the Royal Society B: Biological Sciences 358(1431):593602. DOI:10.1098/rstb.2002.1238.Google Scholar