KSL-90-76 + redirect page
Computation and Action Under Bounded Resources + Has identifier
Computation and Action Under Bounded Resources + Ksl tr id
Computation and Action Under Bounded Resources + Number
| Computation and Action Under Bounded Resources |
Bibtype
techreport
Has publishing details
1990
Has title
Computation and Action Under Bounded Resources
Has where published
KSL-90-76
Has year
1990
Title
Computation and Action Under Bounded Resources
Year
1990
Abstract
We define and implement a model of rationa … We define and implement a model of rational action for automated reasoning systems that makes use of flexible approximation methods and inexpensive decision-theoretic procedures to determine how best to solve a problem under bounded computational resources. The model provides metareasoning techniques which enable a reasoning system to balance the costs of increased delays with the benefits of better results in a decision context. The decision-theoretic metareasoning techniques presented can be applied to a variety of computational tasks. We focus on the use of inexpensive decision procedures to control complex decision-theoretic reasoning at the base level. The approach extends traditional decision analyses to autoepistemic models that represent knowledge about problem solving, in addition to knowledge about distinctions and relationships in the world. We found that it can be valuable to allocate a portion of costly reasoning resources to metalevel deliberation about the best way to use additional resources to solve a decision problem.After reviewing principles for applying multiattribute utility theory to the control of computational procedures, we describe how these principles can be used to control probabilistic reasoning. In particular, we shall examine techniques for controlling, at run time,the tradeoff between the complexity of detailed, accurate analyses and the tractability of less complex, yet less accurate probabilistic inference. Then we review the architecture and functionality of a system named Protos that embodies the principles for using complex probabilistic models to make high-stakes decisions under time pressure. We shall study the behavior of Protos on high-stakes decision problems in medicine. Finally, we move beyond our focus on time constraints to consider the constraints on decision-theoretic reasoning posed by the cognitive limitations of people seeking insight from automated decision systems. g insight from automated decision systems.
Note
STAN-CS-1430.
Address
Stanford, CA, USA +
Author
Eric Horvitz +
Has author
Eric Horvitz +
Has identifier
Computation and Action Under Bounded Resources +
Institution
Stanford University +
Ksl tr id
Computation and Action Under Bounded Resources +
Number
Computation and Action Under Bounded Resources +
Process note
NO +
Categories KSL Technical Report +, Publication +, Technical Report +
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