If I were a great inventor attempting to devise an artificial brain, I would likely use a combination of different methods and approaches to achieve this goal.

1. Neural Networks: One approach would be to create a neural network-based model, which mimics the way the human brain works by simulating complex interactions between artificial neurons.

2. Evolutionary Algorithms: Another possible approach would be to use evolutionary algorithms to generate a large pool of potential solutions and then select the most promising among them through an iterative process of selection and refinement.

3. Reinforcement Learning: Utilizing reinforcement learning techniques could be another useful method. by creating an artificial brain using an adaptive neural network architecture that is capable of learning from stimuli and improving its behavior over time through reinforcement.

4. Data-Driven Approach: Finally, a data-driven approach could be employed, where large amounts of data are fed into the artificial brain for it to learn from and improve its functionality.

In any case, creating an artificial brain would require significant research, development and innovation in different fields such as neuroscience, computer science, and engineering.