Knowledge consolidation and inference in an integrated neuro-cognitive architecture
Developing a general machine intelligence that can provide truly natural interaction and human-like cognition has been a major challenge in artificial intelligence research. To this end, cognitive architectures are increasingly investigated as generic blueprints for intelligent agents that can opera...
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| Format: | Thesis |
| Language: | English |
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2011
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| Online Access: | https://hdl.handle.net/10356/43793 |
| _version_ | 1826112302396473344 |
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| author | Oentaryo, Richard Jayadi |
| author2 | Michel B. Pasquier |
| author_facet | Michel B. Pasquier Oentaryo, Richard Jayadi |
| author_sort | Oentaryo, Richard Jayadi |
| collection | NTU |
| description | Developing a general machine intelligence that can provide truly natural interaction and human-like cognition has been a major challenge in artificial intelligence research. To this end, cognitive architectures are increasingly investigated as generic blueprints for intelligent agents that can operate across different task domains. A variety of cognitive architectures have been formulated over the years, but there remains a need to further develop salient aspects of general intelligence, such as knowledge consolidation, system scalability, and metacognitive functions. This thesis first provides a comprehensive survey of the contemporary cognitive architectures, with systematic categorization of various design approaches and critical evaluations on their design properties, merits and shortcomings. Promising milestones and directions are also outlined, with emphasis on how consolidation, scalability and metacognition can help address the issues in the current cognitive architectures and contribute to the creation of better architectures/systems. |
| first_indexed | 2024-10-01T03:04:46Z |
| format | Thesis |
| id | ntu-10356/43793 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:04:46Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/437932023-03-04T00:47:38Z Knowledge consolidation and inference in an integrated neuro-cognitive architecture Oentaryo, Richard Jayadi Michel B. Pasquier Quek Hiok Chai School of Computer Engineering Centre for Computational Intelligence DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Developing a general machine intelligence that can provide truly natural interaction and human-like cognition has been a major challenge in artificial intelligence research. To this end, cognitive architectures are increasingly investigated as generic blueprints for intelligent agents that can operate across different task domains. A variety of cognitive architectures have been formulated over the years, but there remains a need to further develop salient aspects of general intelligence, such as knowledge consolidation, system scalability, and metacognitive functions. This thesis first provides a comprehensive survey of the contemporary cognitive architectures, with systematic categorization of various design approaches and critical evaluations on their design properties, merits and shortcomings. Promising milestones and directions are also outlined, with emphasis on how consolidation, scalability and metacognition can help address the issues in the current cognitive architectures and contribute to the creation of better architectures/systems. DOCTOR OF PHILOSOPHY (SCE) 2011-04-26T07:43:10Z 2011-04-26T07:43:10Z 2011 2011 Thesis Oentaryo, R. J. (2011). Knowledge consolidation and inference in an integrated neuro-cognitive architecture. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/43793 10.32657/10356/43793 en 208 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Oentaryo, Richard Jayadi Knowledge consolidation and inference in an integrated neuro-cognitive architecture |
| title | Knowledge consolidation and inference in an integrated neuro-cognitive architecture |
| title_full | Knowledge consolidation and inference in an integrated neuro-cognitive architecture |
| title_fullStr | Knowledge consolidation and inference in an integrated neuro-cognitive architecture |
| title_full_unstemmed | Knowledge consolidation and inference in an integrated neuro-cognitive architecture |
| title_short | Knowledge consolidation and inference in an integrated neuro-cognitive architecture |
| title_sort | knowledge consolidation and inference in an integrated neuro cognitive architecture |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition |
| url | https://hdl.handle.net/10356/43793 |
| work_keys_str_mv | AT oentaryorichardjayadi knowledgeconsolidationandinferenceinanintegratedneurocognitivearchitecture |