Suggest and build a small application suitable for demonstrating the reasoning powers of a rule based E.S. using Aion DS. Ensure suitable resources are available for building the Expert System proposed e.g. an ‘Expert’ willing to spend 2 hours or so with the Knowledge Engineer (i.e. you) and other sources of knowledge e.g. books etc etc. The Expert System proposed should be small enough so that a prototype system can be built within 10-15 hours (not including time spent learning Aion DS) but not so small that it cannot be used to demonstrate the ‘powers of reasoning’ enjoyed by Expert Systems’. Ideally the system you propose should be in an area that you are not already knowledgeable, as this will give you valuable experience in the art of knowledge acquisition. The systems proposed does not need to tackle a serious real world domain as long as it can be used to demonstrate what Expert systems can do. Suitable example systems include systems for Medical Diagnosis, Plant Illness Diagnosis, Rock Type Analysis, Grant Awarder, Heating System fault finder, PC Fault finding aid, Mortgage Awarder, Benefits Advisor, German Grammar Aid, Migraine Diagnostic Aid, and Chemical Element Identifier. Do not limit yourself to the systems suggested here - find your own if at all possible.
You are required to 1. Build a ‘prototype’ of this Expert System using ‘Aion DS’. To do this the following steps must be performed:- a) Knowledge Acquisition: From experts, from books and any other source you choose to use, acquire the knowledge to be built into the E. S. b) Knowledge representation: Design the knowledge base in a suitable format for encoding into Aion DS. Make appropriate use of ‘states’ to organise the knowledge into separate maintainable components. Use forward and/or backward chaining as appropriate for each individual state. Make appropriate use of classes to store the data required in the application and to store the results of the inference process. c) Build, test and if necessary modi& the E.S. using advanced features of Aion DS as required. The prototype ES may also be used to demonstrate one of the following features found in good Expert systems: the ability to work with uncertainty, the useful inclusion of metalevel knowledge, deep knowledge (as opposed to shallow knowledge), enhanced explanation facilities, the interfacing of ESs with databases or spreadsheets any other feature of a quality Expert System. Ensure you keep backup copies of your prototype Expert System. 2. Write a brief installation and user guide for your ES (maximum 500 words), explaining how to install and run your syst&m. Point out my points of particular interest within your prototype, for example where advanced explanation facilities have been built into the system (see list of optional features above). You should hand in the following items: A signed health and safety notice (see below). Prototype system developed, on a 3 ‘/2 inch [url removed, login to view] floppy disk (see 1 above) Installation and User guide (see 2 above)