BCI Control of Heuristic Search Algorithms
- Submitting institution
-
University of Greenwich
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 19811
- Type
- D - Journal article
- DOI
-
10.3389/fninf.2017.00006
- Title of journal
- Frontiers in Neuroinformatics
- Article number
- -
- First page
- 6
- Volume
- 11
- Issue
- -
- ISSN
- 1662-5196
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper reports one attempt to develop a principled hybrid human-AI system, by controlling the behaviour of a heuristic search algorithm with Brain-Computer Interface input. The main challenge is to identify a rationale for coupling heuristic search to a user’s cognitive strategy, and this is solved by controlling the precision-admissibility trade-off with a measure of cognitive anticipation, using prefrontal asymmetry. It has reached the top 25% of views on all Frontiers online publications, and an early version of this work has been published at the IWINAC 2015 conference, where it was awarded the best paper prize.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
