This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Evolving Information Processing Organizations

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
John H. Miller () (Carnegie Mellon University, Social and Decision Sciences)
Abstract

The organization of information processing resources is a central question in economic, organizational, and computational theory. Recent work by Radner (1992) and others has developed a simple theoretical framework and some useful formal mathematical results about the behavior of such systems. Here, we follow a complementary computational approach that allows us to pursue questions concerning the impact of coordination and various exogenous conditions facing the organization. We find that organizations demonstrate ``order for free,'' that is, given a simple structural framework and a set of standard operating procedures, even randomly generated organizations imply well-defined patterns of behavior. Using a genetic algorithm, we also show that simple evolutionary processes allow organizations to ``learn'' better structures.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: ftp://zia.hss.cmu.edu/pub/miller/evolorg.ps
Our checks indicate that this address may not be valid because: 500 Failed to connect to FTP server zia.hss.cmu.edu: Net::FTP: connect: timeout. If this is indeed the case, please notify (Thomas Krichel)
File Format: application/postscript
File Function:
Download Restriction: no

Publisher Info
Paper provided by Carnegie Mellon, Department of Decision Sciences in its series Papers with number _001.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 01 May 1995
Date of revision:
Handle: RePEc:wop:carnds:_001

Contact details of provider:
Phone: 412-268-2833
Web page: http://www.hss.cmu.edu/departments/sds/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Thomas Krichel).

Related research
Keywords: Organizational Theory; Information Processing; Coordination; Parallel Computing; and Genetic Algorithms;

Statistics
Access and download statistics

Did you know? About 1000 archives contribute their bibliographic data to RePEc.

This page was last updated on 2009-12-2.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.