COMMERCE 2KA3 Lecture Notes - Lecture 11: Management System, Tacit Knowledge, Regression Analysis
Document Summary
Knowledge acquisition, capturing knowledge : expert systems. How they work: compile a list of rules for the knowledge base, make the inference engine, forward chaining, trying to come up with all possible answers, backward chaining, trying to prove an initial hypothesis. Looking at other intelligent techniques: org. intelligence-case-based reasoning. Related to the idea of human knowledge being a collection of stories and how we use past stories to solve novel problems: classification and categorization in the mind (cases created, ex. Learning how to turn on a light: fuzzy logic systems. Idea of trying to interpret if intended or not and adjusting or not: unclear, ranges, neural networks. Idea that people learn through development of neuron connections. Credit card companies and detecting fraud with purchase history. Idea that the input stage might take longer depending amount of training/data required (similar to statistical regression: genetic algorithms. Done to make simple process automatic: e. x.