Decentralized Markets versus Central Control: A Comparative Study

Decentralized Markets versus Central Control: A Comparative Study (1999)

Cached

Download Links

[www.cs.cmu.edu]
[www.cs.cmu.edu]
[jair.org]

Other Repositories/Bibliography

DBLP

by Fredrik Ygge , Hans Akkermans

Venue:	Journal of Artificial Intelligence Research
Citations:	26 - 1 self

Versions

Version History

Metadata Version 1

Datum	Value	Source
TITLE	Decentralized markets versus central control: A comparative study	INFERENCE
AUTHOR NAME	Fredrik Ygge	SVM HeaderParse 0.1
AUTHOR AFFIL	EnerSearch AB and Uppsala University	SVM HeaderParse 0.2
AUTHOR ADDR	Chalmers Science Park; S-412 88 Gothenburg, Sweden	SVM HeaderParse 0.1
AUTHOR NAME	Hans Akkermans	SVM HeaderParse 0.1
AUTHOR AFFIL	AKMC and Free University Amsterdam; Department of Information Management and Software Engineering; Computer Science Division	SVM HeaderParse 0.2
AUTHOR ADDR	De Boelelaan 1081a, NL-1081 HV Amsterdam, The Netherlands	SVM HeaderParse 0.1
ABSTRACT	Multi-Agent Systems (MAS) promise to offer solutions to problems where established, older paradigms fall short. In order to validate such claims that are repeatedly made in software agent publications, empirical in-depth studies of advantages and weaknesses of multi-agent solutions versus conventional ones in practical applications are needed. Climate control in large buildings is one application area where multi-agent systems, and marketoriented programming in particular, have been reported to be very successful, although central control solutions are still the standard practice. We have therefore constructed and implemented a variety of market designs for this problem, as well as different standard control engineering solutions. This article gives a detailed analysis and comparison, so as to learn about differences between standard versus agent approaches, and yielding new insights about benefits and limitations of computational markets. An important outcome is that "local in...	user correction - Legacy Corrections
YEAR	1999	INFERENCE
VENUE	Journal of Artificial Intelligence Research	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	301--333	INFERENCE
VOLUME	11	INFERENCE
CITATIONS	38 found	ParsCit 1.0