English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Information-theoretic bounded rationality in perception-action systems

Genewein, T. (2016). Information-theoretic bounded rationality in perception-action systems. Talk presented at ICRA 2016 Workshop on Task-Driven Perceptual Representations: Sensing, Planning and Control under Resource Constraints. Stockholm, Sweden.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0000-7CC2-A Version Permalink: http://hdl.handle.net/21.11116/0000-0000-E918-F
Genre: Talk

Files

show Files

Locators

show
hide
Locator:
Link (Any fulltext)
Description:
-

Creators

show
hide
 Creators:
Genewein, T1, 2, 3, Author              
Affiliations:
1Research Group Sensorimotor Learning and Decision-Making, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497809              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Research Group Sensorimotor Learning and Decision-making, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1688138              

Content

show
hide
Free keywords: -
 Abstract: The ability to form abstractions and to generalize well from few samples are hallmarks of human and animal intelligence underlying the unrivaled flexibility of behavior in biological systems. Achieving such flexibility in artificial systems is challenging, particularly because the underlying computational principles are not fully understood. This talk introduces an information-theoretic framework for bounded rational decision-making, that is optimal decision-making under limited computational resources. One consequence of acting optimally under computational limitations is the emergence of natural abstractions which allow for more efficient processing of information. The consequent application of the theoretical framework to perception-action systems results in an interesting optimality principle that leads to a tight coupling between perception and action. As a result, the objective of bounded-optimal perception is not to represent a sensory state as faithfully as possible, but rather to extract the most relevant information for bounded-optimal acting.

Details

show
hide
Language(s):
 Dates: 2016-05-16
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: BibTex Citekey: Genewein2016
 Degree: -

Event

show
hide
Title: ICRA 2016 Workshop on Task-Driven Perceptual Representations: Sensing, Planning and Control under Resource Constraints
Place of Event: Stockholm, Sweden
Start-/End Date: -
Invited: Yes

Legal Case

show

Project information

show

Source

show