Equational and Rule-Based Programming: Visualization, Reliability, and Knowledge Base Generation

This document describes developing an environment for effective use of functional/equational programs and rule-based expert systems. There are significant advantages in using these paradigms for reliability, parallelism, and accumulation of expertise in knowledge bases. The environment will make it easier to understand and use these paradigms, construct more reliable systems, and automatically enrich rule-based knowledge bases with the expertise. It will consist of the following components: (1) Visualization: for composing systems using a graphical interface and for understanding of algorithms. (2) Consistency Checking: for an equational and a rule-based language in accordance with the semantics of the languages. (3) Knowledge Base Generation and Testing: a translator that extracts expertise from existing programs and accumulates it as rules in knowledge bases; the rules are tested to enhance reliability. (4) Verification: interactive heterogeneous reasoning that consists of equational reasoning based on visual and textual information. These tools will be integrated in the proposed environment. The environment will greatly reduce the costs and increase the reliability of functional/equational and rule-based systems. Comments University of Pennsylvania Department of Computer and Information Sciences Technical Report No. MSCIS-91-60. This technical report is available at ScholarlyCommons: http://repository.upenn.edu/cis_reports/334 Equational and Rule-Based Programming: Visualization, Reliability, and Knowledge Base Generation