Literature DB >> 2669785

Explanatory pitfalls and rule-based driver models.

J A Michon1.   

Abstract

Driver models should refer to either of two levels of explanation, (1) the rational or intentional level that is usually taken to represent the aggregate behavior of the driver population, or (2) the functional level which deals with intra-individual information processing. Frequently the two levels are confounded, which is likely to introduce serious theoretical problems--vicious circles and pernicious homunculi among them. After a conceptual analysis of the confounding problem, arguments in favor of a radical functionalistic (process-level) approach are put forward. Rule-based modeling, using some advanced production system architecture, appears to be the most promising inroad to better theories of driver behavior.

Mesh:

Year:  1989        PMID: 2669785     DOI: 10.1016/0001-4575(89)90025-0

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  13 in total

1.  Effects of oxcarbazepine and carbamazepine on driving ability: a double-blind, randomized crossover trial with healthy volunteers.

Authors:  Yvonne Kaussner; Ramona Kenntner-Mabiala; Sonja Hoffmann; Jan Klatt; Ferenc Tracik; Hans-Peter Krüger
Journal:  Psychopharmacology (Berl)       Date:  2010-03-17       Impact factor: 4.530

Review 2.  Effects of benzodiazepines, antidepressants and opioids on driving: a systematic review and meta-analysis of epidemiological and experimental evidence.

Authors:  Tharaka Dassanayake; Patricia Michie; Gregory Carter; Alison Jones
Journal:  Drug Saf       Date:  2011-02-01       Impact factor: 5.606

3.  What you may not see might slow you down anyway: masked images and driving.

Authors:  Ben Lewis-Evans; Dick de Waard; Jacob Jolij; Karel A Brookhuis
Journal:  PLoS One       Date:  2012-01-18       Impact factor: 3.240

4.  Alcohol calibration of tests measuring skills related to car driving.

Authors:  Stefan Jongen; Eric Vuurman; Jan Ramaekers; Annemiek Vermeeren
Journal:  Psychopharmacology (Berl)       Date:  2014-01-10       Impact factor: 4.530

5.  Increase in brain activation due to sub-tasks during driving: fMRI study using new MR-compatible driving simulator.

Authors:  Mi-Hyun Choi; Hyung-Sik Kim; Hee-Jeong Yoon; Jung-Chul Lee; Ji-Hye Baek; Jin-Seung Choi; Gye-Rae Tack; Byung-Chan Min; Dae-Woon Lim; Soon-Cheol Chung
Journal:  J Physiol Anthropol       Date:  2017-01-26       Impact factor: 2.867

6.  The Effects of Transcranial Direct Current Stimulation (tDCS) on Psychomotor and Visual Perception Functions Related to Driving Skills.

Authors:  Alexander Brunnauer; Felix M Segmiller; Sabine Löschner; Valérie Grun; Frank Padberg; Ulrich Palm
Journal:  Front Behav Neurosci       Date:  2018-01-31       Impact factor: 3.558

7.  Comparing the effects of oxazepam and diazepam in actual highway driving and neurocognitive test performance: a validation study.

Authors:  S Jongen; E F P M Vuurman; J G Ramaekers; A Vermeeren
Journal:  Psychopharmacology (Berl)       Date:  2018-03-02       Impact factor: 4.530

8.  Effective Connectivity Analysis of Brain Activated Regions during Distracted Driving.

Authors:  Mi-Hyun Choi; Jin-Ju Jung; Je-Hyeop Lee; Ye-Jin Kim; Kyu-Beom Kim; Hyung-Sik Kim; Jeong-Han Yi; Soon-Cheol Chung
Journal:  Brain Sci       Date:  2021-05-24

9.  Brain activity during driving with distraction: an immersive fMRI study.

Authors:  Tom A Schweizer; Karen Kan; Yuwen Hung; Fred Tam; Gary Naglie; Simon J Graham
Journal:  Front Hum Neurosci       Date:  2013-02-28       Impact factor: 3.169

10.  Neural substrates of driving behaviour.

Authors:  Hugo J Spiers; Eleanor A Maguire
Journal:  Neuroimage       Date:  2007-03-03       Impact factor: 6.556

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