Economics, dealing with mental processes of decision makers is part of cognitive science; conversely, cognitive science, faced with constraints on information processing, is part of economics. In July 1990, the Cecoia 2 conference was organised in Paris to further explore the connections between the two. The papers presented in this volume illustrate this truly interdisciplinary research intertwining social and cognitive sciences. Three main topics are represented: agent's mental representation when facing complex uncertainty; agent's computational constraints leading to bounded rationality; agent's learning and evolution in an imperfectly known environment.
For economists and artificial intelligence specialists.
Interdisciplinary research between economics and cognitive science, P Bourgine et al. Rational self-government and universal default logics, J Doyle & M P Wellman. Belief revision and decision under complex uncertainty, B Walliser. Can predictive agents prevent chaos? J O Kephart et al. A genetic approach to econometric modeling, J R Koza. Model-based diagnosis of an economy, G J Karakoulas. Adaptive and inductive deliberational dynamics, B Skyrms. On the dynamics of interaction in large economies, I Gilboa & Akihiko Matsui. Reasoning with bounded knowledge, C Bicchieri. Expert systems as a methodological step in conventional decision support systems design, J-C Courbon. Solving financial decision problems in CHIP, F Berthier. Economic evaluation of expert systems: the case of Aerospatiale company, J-R Alcaras. An approach to formalizing policy management, E H Sibley et al. Organizational intelligence: coordination of human intelligence and machine intelligence, Takehiko Matsuda. Integration and learning process, P Cohendet & P Llerena. Two temporalities, two rationalities: a new look at Newcomb's paradox, J-P Dupuy. Index.
- No. of pages:
- © Pergamon 1992
- 19th June 1992
- eBook ISBN:
CREA, Ecole Polytechnique, Paris, France
CERAS/ENPC, Paris, France