## Abstract

This chapter of the Handbook of Computational Economics is mostly about

research on active learning and is confined to discussion of learning in dynamic

models in which the systems equations are linear, the criterion function is

quadratic and the additive noise terms are Gaussian. Though there is much work

on learning in more general systems, it is useful here to focus on models with

these specifications since more general systems can be approximated in this way

and since much of the early work on learning has been done with these quadraticlinear-gaussian systems.

We begin with what has been learned about learning in dynamic economic models in the last few decades. Then we progress to a discussion of what we hope to learn in the future from a new project that is just getting underway. However before doing either of these it is useful to provide a short description of the mathematical framework that will be used in the chapter.

research on active learning and is confined to discussion of learning in dynamic

models in which the systems equations are linear, the criterion function is

quadratic and the additive noise terms are Gaussian. Though there is much work

on learning in more general systems, it is useful here to focus on models with

these specifications since more general systems can be approximated in this way

and since much of the early work on learning has been done with these quadraticlinear-gaussian systems.

We begin with what has been learned about learning in dynamic economic models in the last few decades. Then we progress to a discussion of what we hope to learn in the future from a new project that is just getting underway. However before doing either of these it is useful to provide a short description of the mathematical framework that will be used in the chapter.

Original language | English |
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Place of Publication | Utrecht |

Publisher | UU USE Tjalling C. Koopmans Research Institute |

Number of pages | 40 |

Publication status | Published - Aug 2008 |

### Publication series

Name | Discussion Paper Series / Tjalling C. Koopmans Research Institute |
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No. | 20 |

Volume | 08 |

ISSN (Electronic) | 2666-8238 |

## Keywords

- Active learning
- dual control
- optimal experimentation
- stochastic optimization
- time-varying parameters
- forward looking variables
- numerical experiments