The nature and evaluation of commercial expert system building tools, revision 1

This memorandum reviews the factors that constitute an Expert System Building Tool (ESBT) and evaluates current tools in terms of these factors. Evaluation of these tools is based on their structure and their alternative forms of knowledge representation, inference mechanisms and developer end-user interfaces. Next, functional capabilities, such as diagnosis and design, are related to alternative forms of mechanization. The characteristics and capabilities of existing commercial tools are then reviewed in terms of these criteria

Knowledge acquisition for case-based reasoning systems

Case-based reasoning (CBR) is a simple idea: solve new problems by adapting old solutions to similar problems. The CBR approach offers several potential advantages over rule-based reasoning: rules are not combined blindly in a search for solutions, solutions can be explained in terms of concrete examples, and performance can improve automatically as new problems are solved and added to the case library. Moving CBR for the university research environment to the real world requires smooth interfaces for getting knowledge from experts. Described are the basic elements of an interface for acquiring three basic bodies of knowledge that any case-based reasoner requires: the case library of problems and their solutions, the analysis rules that flesh out input problem specifications so that relevant cases can be retrieved, and the adaptation rules that adjust old solutions to fit new problems

Expert system technology

The expert system is a computer program which attempts to reproduce the problem-solving behavior of an expert, who is able to view problems from a broad perspective and arrive at conclusions rapidly, using intuition, shortcuts, and analogies to previous situations. Expert systems are a departure from the usual artificial intelligence approach to problem solving. Researchers have traditionally tried to develop general modes of human intelligence that could be applied to many different situations. Expert systems, on the other hand, tend to rely on large quantities of domain specific knowledge, much of it heuristic. The reasoning component of the system is relatively simple and straightforward. For this reason, expert systems are often called knowledge based systems. The report expands on the foregoing. Section 1 discusses the architecture of a typical expert system. Section 2 deals with the characteristics that make a problem a suitable candidate for expert system solution. Section 3 surveys current technology, describing some of the software aids available for expert system development. Section 4 discusses the limitations of the latter. The concluding section makes predictions of future trends

An Experimental Expert System For Award Implementation

The Western Australian Government Railways Commission (WestRail) employs several thousands workersunder many different awards. The awards serve to dictate the working and pay conditions of all employees of WestRail. Currently, tens of thousands of recorded time-sheets are processed per year. The present time-sheet processing system is predominantly batch-based and inefficient due to the complexities of many awards and conditions. Consequently, WestRail plans to streamline the entire time-sheet process to a suite of on-line systems. One of the steps towards this goal is to examine the potentials of applying expert system (ES) technology to the complex structures of many different awards.This paper describes an experimental expert system for award implementation at WestRail. The aims in this project are two folds. Firstly, it is to demonstrate to WestRail that the complex award conditions can be captured and applied using the currently available ES technology. The second objective is to show the viability of interfacing the ES with a database. From the results of study, it has been demonstrated that the ES techniques can be used to gather and interpret information from manual time-sheets that are subject to a complex arbitration award. Furthermore, it is believed that the ES technology can and should be integrated into the mainstream programming techniques at WestRai

Expert-System Shells : Very-High-Level Languages for Artificial Intelligence

Expert-system shells are discussed as very-high-level programming languages for knowledge engineering. Based on a category/domain distinction for expert systems the concept of expert-system shells is explained using seven classifications. A proposal for a shell-development policy is sketched. The conclusions express concern about overemphasis on shell surfaces

Conceptual modeling of knowledge based systems for digital ecosystems

The agents or entities frequently require intelligence in the form of knowledge based systems(KBS) to support many of their functions. In this Paper we discuss how these KBSs are conceptual are conceptually modeled as a first step towards their development. In particular, we show to effectively model all the different knowledge constructs using an extended definition of an object. The notation used to express this is UML [Booch 2005]

Automation tools for demonstration of goal directed and self-repairing flight control systems

The coupling of expert systems and control design and analysis techniques are documented to provide a realizable self repairing flight control system. Key features of such a flight control system are identified and a limited set of rules for a simple aircraft model are presented

Adaptation of a Simple Frame-based System to Accommodate Complex Interaction among Frames

Computing and Information Science

Application of expert system techniques for award implementation

This paper describes a pilot expert system project, PESWEA, developed in conjunction with The Western Australian Government Railways Commission (Westrail), to locate and implement an expert system pilot solution to the problems and complexities of the awards. The paper will outline the process used to develop and implement a solution to a business requirement. In particular, the methodologies for the project, shell selection, and knowledge acquisition will be presented and discussed. The fundamentals of expert systems will be discussed to provide the reader an insight into the technology. In addition, this paper reviews the literature relevant to the research questions. Empirical findings in the literature are discussed and analysed to discover how they influence the work in this paper. The topics covered include the concepts of expert system shell selection, knowledge acquisition and representation. and the integration of expert systems and database systems. A case study on a similar pilot system conducted by the State Electricity Commission of Victoria (SECV) is also reviewed. The PESWEA knowledge-bases were implemented with the 1st-Class HT expert system shell which succeeded in meeting the selection criteria for the first study in this project. The work carried out has also confirmed that the expert system techniques can be used to gather and interpret information from manual time- sheets which are subject to a complex arbitration award. Furthermore, PESWEA utilised the Inter-system Communication approach to systems interfacing, with the DataFlex database system dominating the concentration of processing and control. The technical and business objectives of PESWEA have been achieved with success. This study has confirmed SECV\u27s own research into the applicability of expert system techniques for award implementation. From this study, Westrail and Edith Cowan University believe that expert systems technology can now be integrated into the mainstream programming techniques at Westrail

Toward the development of a knowledge-based construction schedule planning system

This research attempts to model and prototype a knowledge-based system for use in the construction industry to accomplish the automatic generation of initial construction schedules. The schedule can be transformed into a logical network that provides a physical representation of the construction operations plan. The prototype system, which requires symbolic processing and reasoning, is developed based on an intensive modeling that rationally examines industry practice. The model identifies work breakdown and precedence relationship as the two major concepts in schedule planning. Work breakdown is concerned with the identification of construction activities that result in the completion of project elements. Precedence relationship is related to the sequencing of construction tasks based on the constraints of scheduling. The knowledge structure of the prototype system is composed of databases, heuristics and algorithms. The databases consist of facts used to represent the structured hierarchy of activities and the formalized task precedence relationships. The heuristics are rules used to determine the breakdown of activities into scheduling modules, the appropriate level of detail and the precedence conditions. The algorithms are procedures used for activity breakdown, task sequencing and task redundancy The current application, scheduling a reinforced concrete building, is specifically prototyped to evaluate the model and the effectiveness of the system. A knowledge system shell M.l is used to prototype this schedule planning system. The prototype has been evaluated by conducting a laboratory experiment on inexperienced schedulers. By measuring the quality and the time of performance, the results of this experiment have suggested that the system can be an effective productivity tool to construction schedulers and planners. The ability of the system to improve the quality of construction schedules further suggests that the model developed is rigorous enough to warrant its continued development into a production standard system --Abstract, pages ii-iii