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Reasoning, robots, and navigation: Dual roles for deductive and abductive reasoning

Published online by Cambridge University Press:  29 March 2011

Janet Wiles
Janet Wiles
Affiliation:
School of Information Technology & Electrical Engineering, University of Queensland, Brisbane 4072, Australia. [email protected]://www.itee.uq.edu.au/~janetw/
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Abstract

Mercier & Sperber (M&S) argue for their argumentative theory in terms of communicative abilities. Insights can be gained by extending the discussion beyond human reasoning to rodent and robot navigation. The selection of arguments and conclusions that are mutually reinforcing can be cast as a form of abductive reasoning that I argue underlies the construction of cognitive maps in navigation tasks.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 34 , Issue 2 , April 2011 , pp. 92
Copyright
Copyright © Cambridge University Press 2011

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References

Arleo, A. & Gerstner, W. (2000) Spatial cognition and neuro-mimetic navigation: A model of hippocampal place cell activity. Biological Cybernetics 83(3):287–99.CrossRefGoogle Scholar
Kuipers, B. (2000) The spatial semantic hierarchy. Artificial Intelligence 119 (1–2):191–233.CrossRefGoogle Scholar
Milford, M. (2008) Robot navigation from nature: Simultaneous localisation, mapping, and path planning based on hippocampal models. Springer-Verlag.Google Scholar
Milford, M. & Wyeth, G. (2003) Hippocampal models for simultaneous localisation and mapping on an autonomous robot. In: Proceedings of the Australasian Conference on Robotics and Automation, Brisbane, Australia. Available at: http://www.araa.asn.au/acra/acra2003/papers/35.pdf.Google Scholar
Moser, E. I., Kropff, E. & Moser, M. B. (2008) Place cells, grid cells, and the brain's spatial representation system. Annual Review of Neuroscience 31:69–89.CrossRefGoogle ScholarPubMed
Newell, A. & Simon, H. A. (1956) The logic theory machine: A complex information processing system. IRE Transactions on Information Theory IT-2(3):61–79.CrossRefGoogle Scholar
O'Keefe, J. & Dostrovsky, J. (1971) The hippocampus as a spatial map: Preliminary evidence from unit activity in the freely-moving rat. Brain Research 34(1):171–75.CrossRefGoogle ScholarPubMed
O'Keefe, J. & Nadel, L. (1978) The hippocampus as a cognitive map. Oxford University Press.Google Scholar
Peirce, C. S. (1931–35) Collected papers of Charles Sanders Peirce. Harvard University Press.Google Scholar
Taube, J. S., Muller, R. U. & Ranck, J. B. Jr. (1990) Head-direction cells recorded from the postsubiculum in freely moving rats. I. Description and quantitative analysis. Journal of Neuroscience 10(2):420–35.CrossRefGoogle Scholar
Thrun, S. (2003) Robotic mapping: A survey. In: Exploring artificial intelligence in the new millennium, ed. Lakemeyer, G. & Nebel, B., pp. 1–36. Morgan Kaufmann.Google Scholar
Tolman, E. C. (1948) Cognitive maps in rats and men. Psychological Review 55(4):189–208.CrossRefGoogle ScholarPubMed