Analysis of Social Learning Strategies When Discovering and Maintaining Behaviours Inaccessible to Incremental Genetic Evolution
- Submitting institution
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University of Keele
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 342
- Type
- E - Conference contribution
- DOI
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10.1007/978-3-319-43488-9_26
- Title of conference / published proceedings
- From Animals to Animats 14;Lecture Notes in Computer Science
- First page
- 293
- Volume
- 9825
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- August
- Year of publication
- 2016
- URL
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https://link.springer.com/chapter/10.1007/978-3-319-43488-9_26
- Supplementary information
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-
- 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
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2
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper, cited regularly as a key work on social behaviour learning and evolution (e.g. https://doi.org/fd42, https://doi.org/fd43), is the culmination of a decade's work on learned and evolved social behaviour (e.g. https://doi.org/fd44). Since 2017, the research has been extended in collaboration (e.g. https://doi.org/gdfq5b) and within the Keele team (e.g. 2020 ALife Journal paper: to appear Nov. 2020).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -