The research objective is to develop a Reflective Intelligence Amplification method that is able to accelerate this learning process in a virtual computational environment. The method will aim to support a non-verbal ‘conversation’ between the practitioner and the computational environment. The non-verbal conversation will oscillate between the practitioner modifying the search space and the computer searching that space.
The three main outcomes of the research will be: a method, a system, and a case study. The method will be applicable to a wide variety of domains where wicked problems are prevalent. The system will focus on one domain, in this case long-term urban design and planning. The case study will show how the method and the system can be used to generate improved design proposals for a real urban design and planning problem.