Machine Reasoning

Identify needs of machine reasoning technology in various industrial applications. Acquire knowledge of core machine reasoning techniques, including rule-based logical reasoning, domain expert’s knowledge representation and acquisition, knowledge discovery, and handling uncertainty during reasoning process Apply machine learning technique to extract industrial domain knowledge and express business rules in computer readable format. Compare the architectures and main techniques used in contemporary reasoning systems, e.g. Google AlphaGo, IBM Watson, and Amazon Alexa. Design knowledge based machine reasoning software modules based on expected business outcomes and industrial domain knowledge Build software application by applying learnt machine reasoning techniques and computer programming.