On the Value of Information

Christos H. Papadimitriou
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Christos H. Papadimitriou: University of California

Chapter 9 in Economics in a Changing World, 1996, pp 190-203 from Palgrave Macmillan

Abstract: Abstract The student of economic theory and the theory of computation will find a surprising extent of common ground (despite the obvious differences in context, scope, emphasis, and style). For example, the study of massively parallel computation deals with the interaction of a large number of independent agents (Karp and Ramachandran, 1991), certainly an environment familiar in economic theory. In game theory, it has been useful to introduce concepts of computational complexity, sometimes as a means of capturing bounded rationality. (Ben-Porath, 1987; Neyman, 1985; Papadimitriou, 1992). In complexity theory, on the other hand, games and their complexity have been a most central paradigm (Chandra, Kozen and Stockmeyer, 1981).

Keywords: Online Algorithm; Annual Symposium; Computing Machinery; 16th International Colloquium; Central Paradigm (search for similar items in EconPapers)
Date: 1996
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DOI: 10.1007/978-1-349-25168-1_9

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