This important book presents new and original work at the frontiers of economics - namely the interface between artificial intelligence (AI) and neoclassical economics.
Artificial Intelligence and Economic Analysis focuses on three quite distinct lines of AI orientated research in economics: applications intended to extend neoclassical theory, applications intended to undermine neoclassical theory and applications which ignore neoclassical theory in the quest for new modelling techniques and fields of analysis. The contributors - all of whom are well established in the field - seek to identify those areas where the science of artificial intelligence could enrich standard economic analysis. It includes material from mainstream economists who are willing to express their own views about the limits of mainstream economic modelling and AI based economic modelling.
The book makes an important contribution to a new and exciting area of economics which holds much hope for the future.
Edited by Scott Moss, former Principal Lecturer in Economics, Manchester Metropolitan University and John Rae, formerly of Information Technology Institute, University of Salford, UK
Contents: 1. Introduction (S. Moss) 2. Economics and Intelligence (R. Marris) 3. Artificial Intelligence Models of Complex Economic Systems (S. Moss) 4. AI Modelling Techniques: The Emergence of a Supportive Framework for Modelling Complex Behaviour in Economics (J. Rae and M.L. Reynolds) 5. Strategic Decision Making: Orthodox Theory Versus Artificial Intelligence Approaches (A. and S. Moss) 6. Experiments, Games and Economics (J.D. Hey and M.L. Reynolds) 7. Artificial Intelligence and the Economics of Technological Change (P. Stoneman) 8. Some Thoughts on Economic Theory and Artificial Intelligence (H. Dixon) 9. Church's Thesis and Game Theory: An Overview of Some Results (L. Anderlini) 10. The Development of Intelligent Macroeconometric Models and Modelling Procedures (M. Artis, S. Moss and P. Ormerod) Bibliography Index