The Virtual Mind: Designing the Logic to Approximate Human Thinking, through an in-depth and multidisciplinary review, outlines and defines the underpinnings for modelling human thinking through
approximating the mind. Whilst there are plenty of efforts underway trying to mimic the brain, its complexities have so far proven insurmountable. But replicating the abstract notion of the mind provides a viable and quicker route. Broadly, the mind consists of a conscious and an unconscious part with separate logic schemes and these absorbs reality in diverging chunks, with the former truncated through narratives and norms and the latter able to amass broader perceptions of reality. These are held together and controlled through a governing mechanism. With the replication and establishment of the mind's mechanistic rules and dynamic constants, tested through a big data approach from public media, it allows for standardization and machine generated human thinking, a Virtual Mind.
Niklas Hageback has extensive experience of risk modelling and financial analytics working at tier-one financial institutions and consulting firms, such as Deutsche Bank, KPMG, and Goldman Sachs, where he held regional executive risk management and oversight roles in both Europe and Asia.