Creating rule-based agents for artificial general intelligence using association rules mining
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Yuan, X ORCID: 0000-0001-5056-171X, Liebelt, MJ ORCID: 0000-0001-6610-2876, Shi, Peng ORCID: 0000-0001-8218-586X and Phillips, BJ ORCID: 0000-0001-8288-4791 (2021) Creating rule-based agents for artificial general intelligence using association rules mining. International Journal of Machine Learning and Cybernetics, 12 (1). pp. 223-230. ISSN 1868-8071
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Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/42600 |
DOI | 10.1007/s13042-020-01166-8 |
Official URL | https://link.springer.com/article/10.1007/s13042-0... |
Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
Keywords | hypothetical ability, intelligent agent, machine, data sets |
Citations in Scopus | 2 - View on Scopus |
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