Intelligent Reasoning
Design and build intelligent machine reasoning systems that can integrate, make sense of, and act upon heterogeneous sensory information sources, using domain knowledge accumulated in respective industries
Type
Domain
Competency Area
Development and Implementation
Levels
Build knowledge-based intelligent software applications using machine reasoning techniques and computer programming
Analyse the business drivers and main application areas of machine reasoning
Analyse reasoning systems for problem solving
Analyse the forms to organise and represent knowledge, business rules and natural language
Analyse techniques to draw new conclusions based on existing knowledge rules and new facts
Analyse characteristics and results evaluation of advanced computational deductive reasoning techniques
Examine uncertainty issues in machine learning
Analyse characteristics and results evaluation of uncertainty handling techniques
Apply logical inference to deduce new conclusions
Evaluate performance of advanced mathematical models, inductive and deductive reasoning techniques
Design and create reasoning systems
Evaluate, design and build intelligent software systems
Identify required cognitive functions based on business needs
Design cognitive applications based on business requirements
Analyse business drivers and application areas of intelligent reasoning systems
Design and apply search techniques to realise expected business outcomes
Build reasoning systems using hybrid reasoning techniques and sub- modules
De-compose complex application scenarios into subproblems
Resolve subproblems by assembling cooperative intelligent subsystems
Design cooperative reasoning modules based on decomposed business outcomes
Create hybrid reasoning systems by applying suitable techniques and computer programming