A Cognitive Structure for a Knowledge-Based System: Implementation and Interpretation

This paper introduces a cognitive structure well-suited for designing a non-traditional knowledge-based system to evaluate human knowledge in a domain specific manner. The development of computerized modeling systems has allowed the operationalization of cognitive science issues. Artificial Intelligence, the emulation of high-level human capability on the computer, has led to representation of systems that model human behavior. Human cognition has become one of the most interested research areas. As an approach to handle human cognition, the paper describes how to elicit and represent cognitive knowledge obtained from individual urbanites through the application of fuzzy relational theory to personal construct theory and repertory grid techniques. Crucial to this research is to implement formally and process interpretatively the psychological cognition of the urbanites who interact with an urban environment in order to offer useful advice on urban problem. What is needed is a technique to analyze cognitive structures called Hasse diagrams, which are instantiations of this perceptive knowledge of human being.