{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T14:06:28Z","timestamp":1761401188372},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[1996,7]]},"abstract":"<jats:p> This article introduces a neural network based cognitive architecture termed Concept Hierarchy Memory Model (CHMM) for conceptual knowledge representation and commonsense reasoning. CHMM is composed of two subnetworks: a Concept Formation Network (CFN), that acquires concepts based on their sensory representations; and a Concept Hierarchy Network (CHN), that encodes hierarchical relationships between concepts. Based on Adaptive Resonance Associative Map (ARAM), a supervised Adaptive Resonance Theory (ART) model, CHMM provides a systematic treatment for concept formation and organization of a concept hierarchy. Specifically, a concept can be learned by sampling activities across multiple sensory fields. By chunking relations between concepts as cognitive codes, a concept hierarchy can be learned\/modified through experience. Also, fuzzy relations between concepts can now be represented in terms of the weights on the links connecting them. Using a unified inferencing mechanism based on code firing, CHMM performs an important class of commonsense reasoning, including concept recognition and property inheritance. <\/jats:p>","DOI":"10.1142\/s0129065796000270","type":"journal-article","created":{"date-parts":[[2004,10,22]],"date-time":"2004-10-22T11:32:49Z","timestamp":1098444769000},"page":"305-319","source":"Crossref","is-referenced-by-count":17,"title":["CONCEPT HIERARCHY MEMORY MODEL: A NEURAL ARCHITECTURE FOR CONCEPTUAL KNOWLEDGE REPRESENTATION, LEARNING, AND COMMONSENSE REASONING"],"prefix":"10.1142","volume":"07","author":[{"given":"AH-HWEE","family":"TAN","sequence":"first","affiliation":[{"name":"RWCP (Real World Computing Partnership) Neuro ISS Laboratory (Institute of Systems Science, National University of Singapore) Heng Mui Keng Terrace, Kent Ridge, Singapore 119597, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"HUI-SHIN VIVIEN","family":"SOON","sequence":"additional","affiliation":[{"name":"Center for Computer Studies, Ngee Ann Polytechnic Institute, 535 Clementi Rd, Singapore 599489, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129065796000270","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T01:49:05Z","timestamp":1565142545000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065796000270"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1996,7]]},"references-count":0,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1996,7]]}},"alternative-id":["10.1142\/S0129065796000270"],"URL":"https:\/\/doi.org\/10.1142\/s0129065796000270","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[1996,7]]}}}