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EHIMWENMA, Kennedy E., CROWTHER, Paul and BEER, Martin (2016). A system of serial computation for classified rules prediction in non-regular ontology trees. International journal of artificial intelligence and applications, 7 (2), 23-35.

EHIMWENMA, Kennedy E., BEER, Martin and CROWTHER, Paul (2016). Computational estimate visualisation and evaluation of agent classified rules learning system. International journal of emerging technologies in learning, 11 (1), 38-47.

EHIMWENMA, Kennedy, BEER, Martin and CROWTHER, Paul (2015). Adaptive multiagent system for learning gap identification through semantic communication and classified rules learning. In: 7th International Conference on Computer Supported Education, Lisbon, Portugal, 23-25 May 2015.

EHIMWENMA, kennedy E., BEER, Martin and CROWTHER, Paul (2015). Student modelling and classification rules learning for educational resource prediction in a multiagent system. In: Proceedings of the Computer Science and Electronic Engineering Conference. IEEE, 59-64.

EHIMWENMA, Kennedy, BEER, Martin and CROWTHER, Paul (2014). Ontology engineering and modelling for learning activity in a multiagent system. In: SIMS '14 Proceedings of the 2014 First International Conference on Systems Informatics, Modelling and Simulation. Washington, DC, IEEE Computer Society, 117-181.

EHIMWENMA, Kennedy, BEER, Martin and CROWTHER, Paul (2014). Pre-assessment and learning recommendation mechanism for a multi-agent system. In: IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014, Athens, Greece, 7-9 July 2014. 122-123.

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