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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lane, PCR | - |
dc.contributor.author | Gobet, F | - |
dc.coverage.spatial | 4 | en |
dc.date.accessioned | 2007-07-28T12:49:21Z | - |
dc.date.available | 2007-07-28T12:49:21Z | - |
dc.date.issued | 2007 | - |
dc.identifier.citation | AAAI workshop on Evaluating Architectures for Intelligence | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/1075 | - |
dc.description.abstract | We present a methodology for developing and evaluating cognitive architectures based on behavioural tests and suitable optimisation algorithms. Behavioural tests are used to clarify those aspects of an architecture’s implementation which are critical to that theory. By fitting the performance of the architecture to observed behaviour, values for the architecture’s parameters can be automatically obtained, and information can be derived about how components of the architecture relate to performance. Finally, with an appropriate optimisation algorithm, different cognitive architectures can be evaluated, and their performances compared on multiple tasks. | en |
dc.format.extent | 61907 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | AAAI 2007 | en |
dc.subject | Methodology | en |
dc.subject | Cognitive architecture | en |
dc.subject | Optimisation | en |
dc.subject | Optimization | en |
dc.subject | Behavioural test | en |
dc.subject | Goodness of fit | en |
dc.subject | Parameter fitting | en |
dc.subject | Multi-objective optimization | en |
dc.subject | CHREST | en |
dc.subject | Connectionnism | en |
dc.subject | Mathematical models | en |
dc.subject | Soar | en |
dc.subject | robust-testing methodology | en |
dc.subject | Categorisation | en |
dc.subject | Five-four task | en |
dc.title | Developing and evaluating cognitive architectures with behavioural tests | en |
dc.type | Research Paper | en |
Appears in Collections: | Psychology Dept of Life Sciences Research Papers |
Files in This Item:
File | Description | Size | Format | |
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lane-gobet-method.pdf | 60.46 kB | Adobe PDF | View/Open |
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