Computer and Information Sciences
University of Delaware
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| AUTHOR: |
Sachin Kamboj and Keith S. Decker
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| TITLE: |
Analyzing the tradeoffs between
breakup and cloning in the context of organizational
self-design
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| ABSTRACT: |
Organizational Self-Design (OSD) has been proposed as
an approach to constructing suitable organizations
at runtime in which the agents are responsible for
constructing their own organizational
structures. OSD has also been shown to be especially
suited for environments that are dynamic and
semi-dynamic. Most existing OSD approaches work by changing the organizational structure in response to changes in the environment - usually by spawning a new agent when an agent is overloaded and composing agents when they are free. One approach to spawning involves breaking up a problem into smaller sub-problems and assigning one of the sub-problems to the newly spawned agent. An alternative approach works by cloning the source agent and assigning the clone agent a portion of the source's work load. We posit that both of these approaches are complementary, have their own advantages, and can be used together. In this paper we analyze the tradeoffs between cloning and breakup and generate a hybrid model that uses both cloning and breakup to generate more suitable organizations than those that could be generated when using a single approach. |
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| KEYWORDS: |
Organizational-Self Design, Task and Resource
Allocation, Breakup, Cloning
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| PUBLICATION: |
In Proceedings of the Eighth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009)
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| DATE: |
May, 2009
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| SOURCES: |
PDF: http://www.cis.udel.edu/~kamboj/pubs/kamboj.aamas.09.pdf
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| BIBTEX: |
@article{kamboj.aamas.09, Title = {Analyzing the tradeoffs between breakup and cloning in the context of organizational self-design}, Author = {Sachin Kamboj and Keith S. Decker}, Month = {May}, Year = {2009}, Keywords = {Organizational-Self Design, Task and Resource Allocation, Breakup, Cloning}, Journal = {In Proceedings of the Eighth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009)}, } |
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