Framework Model for Intelligent Robot as Knowledge - Based System

This paper presents a philosophical view for designing and Implementation of an Intelligent Robot as knowledge based system. The philosophy based on the theoretical aspects of the relationships between cognitive science and computation theories together with the view of functional model of human system as knowledge based system. The framework model consists of ten modules; these modules are complimentary in their processes, which mean each module has a task that complements the other module's task and so on. These modules will constitute the three part of the knowledge-based system. The user interface as Robot Interface consists of three modules, which are Robot Communication Facilities, Updating Knowledge Bases, and Inserting Task Specification. The Inference Engine as processing machine consists of three modules, which are Reasoning Agent, Problem Solving Methods, and Search Techniques. The knowledge base as Robot Brain, which also consists of three modules these are Knowledge Base for Specific Domain, Knowledge Base for Robot Task, and Knowledge Base for Robot Communication. The tenth module is the Working Memory. The proposed framework model for Intelligent Robot has many capabilities such as: The Intelligent Robot can do more than one job, behave like human, work either online or off line and may be remotely, communicates in many ways, smart in term of the psychological meaning of smart, use many methods for problem solving, and use many searching techniques. The application of the framework model will be in any specific domain the robot can work in. The framework model for Intelligent Robot is concentrating in the knowledge and software engineering only independent from the hardware in term of mechanical aspects. This paper suggests that, the design and implementation of Intelligent Robot as a knowledge based system in future and as a mimic of functional model of human system.