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Articles by Hussein H. Owaied
Total Records ( 2 ) for Hussein H. Owaied
  Hussein H. Owaied , Mahmoud Malek Abu-A`ra and Monzer Moh`d Qasem
  This study presents new methodology for knowledge representation called hybrid scheme for knowledge representation. The scheme is based on the integration of two different knowledge representation formats. The integration consists of the Rule-base and the Case-based formats using the Blackboard. This scheme uses both procedural and declarative knowledge representation formalisms through the application of relational database. So the rule base and case base formats have been converted into tables. The convert rule to table assigns the first attribute of table to be a conclusion of a rule and the reset of attributes as the conditions of a rule. Also assign the first attribute of table to be a cause of a case and the reset of attributes as the assertions of a case. In this study, all the algorithms, for creating, indexing and checking the availability of a rule and a case, are present. The scheme facilitates combination of forward and backward chaining reasoning, using many problems solving methodologies and different searching techniques. Therefore, the proposed scheme facilitates the common sense, deduction and analogical reasoning activities in the inference engine, because rule base provides the deduction, case base provides the analogical reasoning and the blackboard provides the common sense. This scheme will be used for developing shell expert system as new environment development for expert systems. The scheme makes the proposed Rule-Case-based shell expert system more flexible, efficient and more powerful for the development of the expert systems in future.
  Hazim A. Farhan , Hussein H. Owaied and Suhaib I. Al-Ghazi
  This study presents methodology to develop a cognitive map using blueprint map. This methodology based on the Functional Model of Human System philosophy and the Framework Model of Intelligent Robot. The proposed model will be presented as knowledge to be added to the knowledge base of the intelligent robot as dynamic knowledge created during the navigation and interaction of the robot in the environment. Building Cognitive Maps can facilitate the intelligent robot work without the need of direct human interaction. It could also be used to reduce the time to reach a target object in a new environment and will need less information from the environment to build knowledge which means less space of knowledge stored and then retrieved. Therefore, save time for retrieve the knowledge from the knowledge base and is efficiently and economically in term of processing. Cognitive Maps supported by knowledge from architectural blueprints maps will also increase the ability of the intelligent robot to sweep more sophisticated buildings. While most of the previous researches, for indoor intelligent robot mapping, assuming few rooms for the building to be surfed. The proposed method will utilize the intelligent robot to sweep a building without taking in consideration the size of it.
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