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Controlled and automatic processing in animals and machines with application to autonomous vehicle control

  • Kevin Gurney*
  • , Amir Hussain
  • , Jon Chambers
  • , Rudwan Abdullah
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

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.

Original languageEnglish
Title of host publicationArtificial Neural Networks - ICANN 2009 - 19th International Conference, Proceedings
PublisherSpringer Verlag
Pages198-207
Number of pages10
EditionPART 1
ISBN (Print)3642042732, 9783642042737
DOIs
StatePublished - 2009
Externally publishedYes
Event19th International Conference on Artificial Neural Networks, ICANN 2009 - Limassol, Cyprus
Duration: 14 Sep 200917 Sep 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5768 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Artificial Neural Networks, ICANN 2009
Country/TerritoryCyprus
CityLimassol
Period14/09/0917/09/09

Keywords

  • Autonomous Vehicle Control
  • Basal ganglia loops
  • Dual-process theory
  • Executive control
  • Fuzzy Tuning
  • Habits

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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