Throughout centuries philosophers have attempted to understand the disparity between the conscious experience and the material world — the problem of consciousness and the apparent mind–body dualism. Achievements in the fields of biology, neurology, and information science in the last century granted us more insight into the processes that govern our minds.
While there are still many mysteries to be solved when it comes to fully understanding the inner workings of our brains, new discoveries suggest stepping further away from metaphysical philosophy of mind that abstracts from the observable world, and closer to the computational viewpoint.
In light of the advent of strong AI and the development of increasingly complex artificial life models and simulations, we need a well-defined, formal theory of consciousness. In order to facilitate this, in this talk we introduce mappism. Mappism is a framework in which alternative views on consciousness can be formally expressed in a uniform way, thus allowing one to compare existing theories and enforcing the use of explicit functions and variables in the language of mathematics. Using this framework, we describe classical and computational views on consciousness.