Modelling enduring institutions: The complementarity of evolutionary and agent-based approaches
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 29211695
- Type
- D - Journal article
- DOI
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10.1016/j.cogsys.2018.04.012
- Title of journal
- Cognitive Systems Research
- Article number
- -
- First page
- 67
- Volume
- 52
- Issue
- -
- ISSN
- 1389-0417
- Open access status
- Access exception
- Month of publication
- June
- Year of publication
- 2018
- 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)
-
A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work is significant because it brings together for the first time the evolutionary and the agent-based approaches when modelling institutions. It contributed to establishing the Trust in Intelligent Machines (TIM) workshop series in 2018 (https://tim2018.wordpress.com), which has been organised annually since. Subsequently, and linked to this, a special issue of the Cognitive Systems Research journal entitled Trusting Intelligent Machines is in the process of publication (https://www.journals.elsevier.com/cognitive-systems-research/call-for-papers/trusting-intelligent-machines).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
