Artificial Intelligence
Artificial intelligence (2nd ed.)
Artificial intelligence (2nd ed.)
Generality in artificial intelligence
Communications of the ACM
Hierarchical censored production rules (HCPRs) system
Data & Knowledge Engineering
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Adaptive Hierarchical Censored Production Rule-Based System: A Generic Algorithm Approach
SBIA '96 Proceedings of the 13th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Real Time Variable Precision Logic System
SBIA '98 Proceedings of the 14th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Intuitive Representation of Decision Trees Using General Rules and Exceptions
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Integration of Hierarchical Censored Production Rule (HCPR)-based System and Neural Networks
SBRN '98 Proceedings of the Vth Brazilian Symposium on Neural Networks
A selected descriptor-indexed bibliography to the literature on belief revision
ACM SIGART Bulletin
Censor Updation during Dynamic Clustering of Hierarchical Censored Production Rules (HCPRs)
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 02
Ripple-down rules with censored production rules
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Acquiring Knowledge in Extended Hierarchical Censored Production Rules (EHCPRS) System
International Journal of Artificial Life Research
Hi-index | 0.00 |
Context sensitive reasoning (i.e., changing the response of the system with change in state of any kind with respect to time, space, matter, or emotions of the system, user, or environment) is significant in real life decision-making. This is a comparatively unexplored facet of intelligent systems and needs to be looked into depth. The Extended Hierarchical Censored Production Rules (EHCPRs) System is an attempt to assemble, maintain, and employ a massive knowledge base exhibiting the property of inheritance and recognition in its reasoning along with the representation of constraints and defaults, and will facilitate all sort of possible learning schemes. Context sensitivity is addressed in the EHCPRs System that result in Generalized HCPRs (GHCPRs) System and its characteristics are exhibited through sample run of implemented system. With different context of user priorities, the GHCPRs system is shown to behave differently in its decision making.