Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/16512
Appears in Collections:Computing Science and Mathematics Book Chapters and Sections
Title: Controlled and automatic processing in animals and machines with application to autonomous vehicle control
Authors: Gurney, Kevin
Hussain, Amir
Chambers, Jon
Abdullah, Rudwan
Contact Email: amir.hussain@stir.ac.uk
Editors: Alippi, C
Polycarpou, M
Panayiotou, C
Ellinas, G
Citation: Gurney K, Hussain A, Chambers J & Abdullah R (2009) Controlled and automatic processing in animals and machines with application to autonomous vehicle control. In: Alippi C, Polycarpou M, Panayiotou C, Ellinas G (ed.). Artificial Neural Networks – ICANN 2009: 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I. Lecture Notes in Computer Science, 5768, Berlin Heidelberg: Springer, pp. 198-207.
Keywords: Executive control
habits
basal ganglia loops
Fuzzy Tuning
Autonomous Vehicle Control
dual-process theory
Issue Date: 2009
Publisher: Springer
Series/Report no.: Lecture Notes in Computer Science, 5768
Abstract: There are two modes of control recognised in the cognitive psychological literature. Controlled processing is slow, requires serial attention to sub-tasks, and requires effortful memory retrieval and decision making. In contrast automatic control is less effortful, less prone to interference from simultaneous tasks, and is driven largely by the current stimulus. Neurobiological analogues of these are goal-directed and habit-based behaviour respectively. Here, we suggest how these control modes might be deployed in an engineering solution to Automatic Vehicle Control. We present pilot data on a first step towards instantiating automatised control in the architecture, and suggest a synergy between the engineering and biological investigation of this dual-process approach.
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Type: Part of book or chapter of book
URI: http://hdl.handle.net/1893/16512
URL: http://link.springer.com/chapter/10.1007/978-3-642-04274-4_21#
Affiliation: University of Sheffield
Computing Science - CSM Dept
University of Sheffield
University of Stirling

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