| | |
| | |
Stat |
Members: 3645 Articles: 2'501'711 Articles rated: 2609
19 April 2024 |
|
| | | |
|
Article overview
| |
|
Collective Intelligence for Control of Distributed Dynamical Systems | David H. Wolpert
; Kevin R. Wheeler
; Kagan Tumer
; | Date: |
17 Aug 1999 | Subject: | Learning; Artificial Intelligence; Distributed, Parallel, and Cluster Computing; Multiagent Systems; Adaptation and Self-Organizing Systems ACM-class: I.2.6 ; I.2.11 | cs.LG adap-org cond-mat cs.AI cs.DC cs.MA nlin.AO | Abstract: | We consider the El Farol bar problem, also known as the minority game (W. B. Arthur, ``The American Economic Review’’, 84(2): 406--411 (1994), D. Challet and Y.C. Zhang, ``Physica A’’, 256:514 (1998)). We view it as an instance of the general problem of how to configure the nodal elements of a distributed dynamical system so that they do not ``work at cross purposes’’, in that their collective dynamics avoids frustration and thereby achieves a provided global goal. We summarize a mathematical theory for such configuration applicable when (as in the bar problem) the global goal can be expressed as minimizing a global energy function and the nodes can be expressed as minimizers of local free energy functions. We show that a system designed with that theory performs nearly optimally for the bar problem. | Source: | arXiv, cs.LG/9908013 | Services: | Forum | Review | PDF | Favorites |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
| News, job offers and information for researchers and scientists:
| |