Abstract

In attempting to explain the properties and behavior of an evolved artefact with the breathtaking complexity of the human brain, dissociating conventional causes and effects is like pulling apart an autosarcophagic snake. To paint a representative picture, we need a palette of explanatory languages capable of portraying the multifarious interactions within a complex system at suitable levels of abstraction. In particular, in addition to conventional causal explanations, the philosophy of science offers a framework of so-called constitutive explanations. Here, we motivate, describe, differentiate and discuss the use of causal and constitutive explanations in the field of computational psychiatry.