Learning and equilibrium as useful approximations
accuracy of prediction on randomly selected constant sum games
Edición de la obra Learning and equilibrium as useful approximations
| Autor | Ido Erev |
|---|---|
| Editorial | Division of Research, Harvard Business School |
| Fecha de publicación | 2006 |
| Lugar | Boston] |
| Idioma | inglés |
| Páginas | 27 |
| OCLC | 70903953 |
| Serie | Working paper / Division of Research, Harvard Business School -- 07-004 · Working paper (Harvard Business School. Division of Research) -- 07-004 |
| Número de Cutter | E67l |
There is a good deal of miscommunication between and among experimenters and theorists, and psychologists and economists, about how to evaluate a theory that can be rejected by sufficient data, but may nevertheless be a useful approximation. A standard experimental design reports whether a general theory can be rejected on an informative test case. This paper, in contrast, reports an experiment designed to meaningfully pose the question: "how good an approximation does a theory provide on average."