Structure for behaviourist representation of knowledge

The paper suggests a three level hierarchical structure dedicated to the behaviourist representation of knowledge. The first level, referred to as the strategic one, is used in the problem solving providing the solution. The second level, called the tactical one, is employed in the solution implementation. The third level, named as the operational one, is meant for the solution execution. The first level is a strategically level the second is a tactical level and the third is an operational level. Feedback information from all higher C. Pozna et al. Structure for Behaviourist Representation of Knowledge 56 hierarchical levels is used in learning to develop the lower levels. A case study concerning the control system of an autonomous car is considered to exemplify the design of the new knowledge representation structure.

[1]  Igor Skrjanc,et al.  Online fuzzy identification for an intelligent controller based on a simple platform , 2009, Eng. Appl. Artif. Intell..

[2]  Gerhard Zucker,et al.  Knowledge representation for a neuro-symbolic network in home care risk identification , 2009, 2009 7th IEEE International Conference on Industrial Informatics.

[3]  Daniel Hladek,et al.  MULTI-ROBOT CONTROL SYSTEM FOR PURSUIT-EVASION PROBLEM , 2009 .

[4]  L.J.M. Mulder,et al.  Automan: A psychologically based model of a human driver , 2003 .

[5]  Kamel Guesmi,et al.  Systematic design approach of fuzzy PID stabilizer for DC–DC converters , 2008 .

[6]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[7]  L.J.M. Mulder,et al.  Clinical Assessment, Computerized Methods, and Instrumentation , 2003 .

[8]  M. Hiller,et al.  Optimization of emergency trajectories for autonomous vehicles with respect to linear vehicle dynamics , 2005, Proceedings, 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics..

[9]  John F. Sowa,et al.  Knowledge representation: logical, philosophical, and computational foundations , 2000 .

[10]  Ronald R. Mourant,et al.  A framework for modeling human-like driving behaviors for autonomous vehicles in driving simulators , 2001, AGENTS '01.

[11]  Claudiu Pozna,et al.  Human Behavior Model Based Control Program for ACC Mobile Robot , 2006 .

[12]  József K. Tar,et al.  On the design of an obstacle avoiding trajectory: Method and simulation , 2009, Math. Comput. Simul..

[13]  Jin-Hua She,et al.  Intelligent Decoupling Control of Gas Collection Process of Multiple Asymmetric Coke Ovens , 2009, IEEE Transactions on Industrial Electronics.

[14]  George Lee,et al.  A knowledge representation framework for integration, classification of multi-scale imaging and non-imaging data: Preliminary results in predicting prostate cancer recurrence by fusing mass spectrometry and histology , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[15]  József K. Tar,et al.  Fuzzy Control System Performance Enhancement by Iterative Learning Control , 2008, IEEE Transactions on Industrial Electronics.

[16]  S. Kovács,et al.  A Brief Survey and Comparison on Various Interpolation Based Fuzzy Reasoning Methods , 2006 .

[17]  Sylvie Galichet,et al.  Fuzzy controllers: synthesis and equivalences , 1995, IEEE Trans. Fuzzy Syst..

[18]  Yu-Sheng Lu.  Smooth speed control of motor drives with asymptotic disturbance compensation , 2008 .

[19]  Eriks Sneiders.  Automated FAQ answering with question-specific knowledge representation for web self-service , 2009, 2009 2nd Conference on Human System Interactions.

[20]  László T. Kóczy,et al.  A generalized concept for fuzzy rule interpolation , 2004, IEEE Transactions on Fuzzy Systems.

[21]  Rolf Isermann,et al.  Diagnosis Methods for Electronic Controlled Vehicles , 2001 .

[22]  Zhiping Li,et al.  Ontology-based domain knowledge representation , 2009, 2009 4th International Conference on Computer Science & Education.

[23]  Mete Kalyoncu,et al.  Mathematical modelling and fuzzy logic based position control of an electrohydraulic servosystem with internal leakage , 2009 .

[24]  Tzuu-Hseng S. Li,et al.  EP-based kinematic control and adaptive fuzzy sliding-mode dynamic control for wheeled mobile robots , 2009, Inf. Sci..

[25]  S. Preitl,et al.  Design and Experiments for a Class of Fuzzy Controlled Servo Systems , 2008, IEEE/ASME Transactions on Mechatronics.