ABSTRACT
The aim of this Introduction to the text is to discuss computational aspects of the digital economy from a Post-Cognitivist, “digital humanities” perspective. In particular, it will investigate each of the elements which contribute to an understanding of those “neuroeconomic” aspects of the digital economy, which can be characterized by notions of enhanced communication and interaction, hybridity and decentralized control: attributes that are increasingly constituted on the basis of developments in artificial intelligence, machine-learning, and robotics. With the aim of enhancing our understanding of these computational developments and their limitations, certain views of cognitive scientists will be examined, which focus on the situated and embodied nature of cognition. This will be followed by a discussion of diagrammatic forms of reasoning, which sets the scene for a more extensive review of pertinent philosophical insights that can be associated with Post-Cognitivist research. In particular, the book examines the limitations of current AI systems before embarking on a detailed investigation of how these limitations could be overcome through the application of formal models of anticipatory behaviour and cognition.
