Information Acquisition Under Resource Limitations in a Noisy Environment
Abstract
We introduce a theoretical model of information acquisition under resource limitations in a noisy environment. An agent must guess the truth value of a given Boolean formula \( \varphi \) after performing a bounded number of noisy tests of the truth values of variables in the formula. We observe that, in general, the problem of finding an optimal testing strategy for \( \varphi \) is hard, but we suggest a useful heuristic. The techniques we use also give insight into two apparently unrelated but well-studied problems: (1) rational inattention , that is, when it is rational to ignore pertinent information (the optimal strategy may involve hardly ever testing variables that are clearly relevant to \( \varphi \) ), and (2) what makes a formula hard to learn/remember.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jun 27, 2022
- Source ID
- 10.1145/3510024
Entities
People
- Joseph Halpern
- Matvey Soloviev
Organizations
- Air Force Office of Scientific Research
- Cornell University
- National Science Foundation
- Open Philanthropy Project