English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Metabolic cost as an organizing principle for cooperative learning

Balduzzi, D., Ortega, P., & Besserve, M. (2013). Metabolic cost as an organizing principle for cooperative learning. Advances in Complex Systems, 16(02n03): 1350012, pp. 1-18. doi:10.1142/S0219525913500124.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-B83C-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-3F3F-4
Genre: Journal Article

Files

show Files

Locators

show
hide
Description:
-

Creators

show
hide
 Creators:
Balduzzi, D, Author              
Ortega, PA1, Author              
Besserve, M1, Author              
Affiliations:
1Max Planck Institute for Intelligent Systems, Max Planck Society, Heisenbergstr. 3 70569 Stuttgart , DE, ou_1497638              

Content

show
hide
Free keywords: -
 Abstract: This paper investigates how a population of neuron-like agents can use metabolic cost to communicate the importance of their actions. Although decision-making by individual agents has been extensively studied, questions regarding how agents should behave to cooperate effectively remain largely unaddressed. Under assumptions that capture a few basic features of cortical neurons, we show that constraining reward maximization by metabolic cost aligns the information content of actions with their expected reward. Thus, metabolic cost provides a mechanism whereby agents encode expected reward into their outputs. Further, aside from reducing energy expenditures, imposing a tight metabolic constraint also increases the accuracy of empirical estimates of rewards, increasing the robustness of distributed learning. Finally, we present two implementations of metabolically constrained learning that confirm our theoretical finding. These results suggest that metabolic cost may be an organizing principle underlying the neural code, and may also provide a useful guide to the design and analysis of other cooperating populations.

Details

show
hide
Language(s):
 Dates: 2013-05
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: BibTex Citekey: BalduzziOB2012
DOI: 10.1142/S0219525913500124
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Advances in Complex Systems
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 16 (02n03) Sequence Number: 1350012 Start / End Page: 1 - 18 Identifier: DOI: 10.1142/S0219525913500124