{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T17:03:31Z","timestamp":1781111011982,"version":"3.54.1"},"reference-count":27,"publisher":"IGI Global Scientific Publishing","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,10]]},"abstract":"<jats:p>EHCPRs system is a knowledge representation and reasoning system for representing common sense knowledge and reasoning with it. In such a system an EHCPR is used as a unit of knowledge for representing any universal concept. There are a number of EHCPRs at various levels of hierarchy of knowledge structure in the EHCPRs system, which results in a tree of EHCPRs. This EHCPRs tree has the capability of continuous growth through new added EHCPRs to it at proper place as well as to get refined continuously with time through improvement in the already acquired EHCPRs. The EHCPRs tree will become stronger in terms of strength of implication and richer in knowledge as time passes. This paper discusses different schemes for enhancing the intelligence, i.e., the knowledge base and the database in the EHCPRs system. By simple and general snippets of code, the EHCPRs system is able to acquire new pieces of knowledge and assimilate it properly in the already acquired knowledge base. The EHCPRs system dynamically restructures the EHCPRs tree in each learning phase by maintaining consistency and minimizing redundancy as well.<\/jats:p>","DOI":"10.4018\/jalr.2010100102","type":"journal-article","created":{"date-parts":[[2011,2,15]],"date-time":"2011-02-15T16:02:20Z","timestamp":1297785740000},"page":"10-28","source":"Crossref","is-referenced-by-count":7,"title":["Acquiring Knowledge in Extended Hierarchical Censored Production Rules (EHCPRS) System"],"prefix":"10.4018","volume":"1","author":[{"given":"Sarika","family":"Jain","sequence":"first","affiliation":[{"name":"CCS University, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N.K.","family":"Jain","sequence":"additional","affiliation":[{"name":"Delhi University, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jalr.2010100102-0","doi-asserted-by":"publisher","DOI":"10.1016\/0169-023X(92)90003-T"},{"key":"jalr.2010100102-1","unstructured":"Bharadwaj, K. K., & Kandwal, R. (2005). Cumulative Learning Based on Dynamic Clustering of Hierarchical Production Rules (HPRs). In Proceedings of the 6th International Conference on Machine Intelligence (ICMI), Budapest, Hungary (pp. 333-338)."},{"key":"jalr.2010100102-2","doi-asserted-by":"publisher","DOI":"10.1080\/09528130701524117"},{"key":"jalr.2010100102-3","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog0101_2"},{"key":"jalr.2010100102-4","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/MC.1983.1654200","article-title":"Krypton: A Functional Approach to Knowledge Representation.","volume":"16","author":"R. J.Brachman","year":"1983","journal-title":"IEEE Computer"},{"key":"jalr.2010100102-5","unstructured":"Davis, R., & Buchanan, B. G. (1977). Production Rules as a Representation System for a Knowledge based Consultation System. AI, 8, 15-45."},{"key":"jalr.2010100102-6","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1098-111X(199804)13:4<319::AID-INT2>3.0.CO;2-Q"},{"key":"jalr.2010100102-7","first-page":"259","article-title":"Extended Hierarchical Censored Production Rules (EHCPRs) System: An Approach towards Generalized Knowledge Representation.","volume":"9","author":"N. K.Jain","year":"1999","journal-title":"Journal of Intelligent Systems"},{"key":"jalr.2010100102-8","first-page":"88","article-title":"A Generalized Knowledge Representation System and its Implementation: An Extended Hierarchical Censored Production Rules System (EHCPRs). MERI","volume":"1","author":"N. K.Jain","year":"2007","journal-title":"Journal of Management and IT"},{"key":"jalr.2010100102-9","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-009-9115-8"},{"issue":"2","key":"jalr.2010100102-10","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1504\/IJAIS.2010.032274","article-title":"Representation of Defaults and Constraints in EHCPRs System: An Implementation.","volume":"1","author":"S.Jain","year":"2009","journal-title":"Int. J. Adaptive and Innovative Systems"},{"key":"jalr.2010100102-11","unstructured":"Jain, S., Jain, N. K., & Goel, C. K. (2008a). Implementing General Control Scheme in EHCPRs System. In Proceedings of the Second National Conference on Mathematical Techniques: Emerging Paradigms for Electronics and IT Industries (MATEIT-2008), 347-353."},{"issue":"1","key":"jalr.2010100102-12","first-page":"1","article-title":"EHCPRs System and Management.","volume":"3","author":"S.Jain","year":"2008","journal-title":"Journal of IPEM"},{"issue":"2","key":"jalr.2010100102-13","first-page":"173","article-title":"Reasoning in EHCPRs System.","volume":"2","author":"S.Jain","year":"2009","journal-title":"International Journal of Open Problems in Computer Science and Mathematics"},{"key":"jalr.2010100102-14","unstructured":"Kandwal, R., & Bharadwaj, K. K. (2005). A Cumulative Learning Approach to Data Mining Employing Censored Production Rules (CPRs). In Proceedings of the 5th International Enformatika Conference on Computational Intelligence (ICCI-2005), Prague, Czech Republic (pp. 294-298)."},{"key":"jalr.2010100102-15","unstructured":"Kandwal, R., & Bharadwaj, K. K. (2006). Cumulative Growth of Production Rules with Fuzzy Hierarchy (PRFH), In Proceedings of the 10th IASTED Conference on Artificial Intelligence and Soft Computing (ASC-2006) 40-45."},{"key":"jalr.2010100102-16","doi-asserted-by":"crossref","unstructured":"Kandwal, R., & Bharadwaj, K. K. (2007). Censor Updation during Dynamic Clustering of Hierarchical Censored Production Rules (HCPRs). In A. Newell & H. A. Simon (Eds.), Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD-2007) (pp. 224-229). Upper Saddle River, NJ: Prentice Hall.","DOI":"10.1109\/FSKD.2007.211"},{"key":"jalr.2010100102-17","doi-asserted-by":"publisher","DOI":"10.1145\/33447.33448"},{"key":"jalr.2010100102-18","unstructured":"McDermott, D., & Doyle, J. (1980). Nonmonotonic logic I. AI, 13, 41-75."},{"key":"jalr.2010100102-19","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(86)90016-0"},{"key":"jalr.2010100102-20","article-title":"A Framework of Representing Knowledge","author":"M.Minski","year":"1975","journal-title":"The Psychology of Computer Vision"},{"key":"jalr.2010100102-21","article-title":"Semantic Memory","author":"M. R.Quillian","year":"1968","journal-title":"Semantic Information Processing"},{"key":"jalr.2010100102-22","unstructured":"Robert, R. B., & Goldstein, I. P. (1977). The FRL Manual (Tech. Rep. No. AIM-408). Cambridge, MA: MIT."},{"key":"jalr.2010100102-23","author":"R. C.Schank","year":"1977","journal-title":"Scripts Plans Goals and Understanding"},{"key":"jalr.2010100102-24","unstructured":"Steels, L. (1986). The KRS Concept System (Tech. Rep. No. 86-1). Brussels, Belgium: AI Laboratory, Brussels University."},{"key":"jalr.2010100102-25","unstructured":"Wilenski, R. (1984). KODIAK- A Knowledge Representation Language. In Proceedings of the 6th annual Conference of Cognitive Science Society, Boulder, CO."},{"key":"jalr.2010100102-26","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116877"}],"container-title":["International Journal of Artificial Life Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=49681","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,2,19]],"date-time":"2019-02-19T11:08:48Z","timestamp":1550574528000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/jalr.2010100102"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2010,10]]},"references-count":27,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.4018\/jalr.2010100102","relation":{},"ISSN":["1947-3087","1947-3079"],"issn-type":[{"value":"1947-3087","type":"print"},{"value":"1947-3079","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,10]]}}}