Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/24296
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ackovska, Nevena | en_US |
dc.date.accessioned | 2022-11-09T08:27:57Z | - |
dc.date.available | 2022-11-09T08:27:57Z | - |
dc.date.issued | 2010 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/24296 | - |
dc.description.abstract | This paper elaborates on taxonomy of learning agents and learning paradigms. A learning paradigm can be represented by an agent-environment interaction. Studying agent-environment interfaces is our approach toward understanding learning agents and learning systems in general. The paper observes ten learning paradigms ranging from context-free learning paradigms, to emotion based self-learning paradigms. The paper also discusses morphogenesis of learning agent architectures that allow agents to adapt and learn in various learning paradigms. | en_US |
dc.relation.ispartof | Didactical Modeling Annals | en_US |
dc.subject | behavioral environment, learning paradigms, genetic environment, emotion learning, morphogenesis of learning architectures | en_US |
dc.title | Taxonomy of learning agents | en_US |
dc.type | Article | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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Nevena_Ackovska-Taxonomy_of_learning_agents.pdf | 61.45 kB | Adobe PDF | View/Open |
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