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Plan-directed architectural change for autonomous systems
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Foundations of Software Engineering archive
Proceedings of the 2007 conference on Specification and verification of component-based systems: 6th Joint Meeting of the European Conference on Software Engineering and the ACM SIGSOFT Symposium on the Foundations of Software Engineering table of contents
Dubrovnik, Croatia
Pages: 15 - 21  
Year of Publication: 2007
ISBN:978-1-59593-721-6
Authors
Daniel Sykes  Imperial College London
William Heaven  Imperial College London
Jeff Magee  Imperial College London
Jeff Kramer  Imperial College London
Publisher
ACM  New York, NY, USA
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ABSTRACT

Autonomous systems operate in an unpredictable world, where communication with those people responsible for its software architecture may be infrequent or undesirable. If such a system is to continue reliable operation it must be able to derive and initiate adaptations to new circumstances on its own behalf. Much of the previous work on dynamic reconfigurations supposes that the programmer is able to express the possible adaptations before the system is deployed, or at least is able to add new adaptation strategies after deployment. We consider the challenges in providing an autonomous system with the capability to direct its own adaptation, and describe an initial implementation where change in the software architecture of an autonomous system is enacted as a result of executing a reactive plan.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Malik Ghallib, Dana Nau, Paolo Traverso. Automated Planning: Theory and Practice. Morgan Kaufman, 2005.
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P. Bertoli, A. Cimatti, M. Pistore, M. Roveri, P. Traverso. MBP: A Model-Based Planner. Proc. of IJCAI'01 Workshop on Planning Under Uncertainty and Incomplete Information, 2001.
 
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J. Zhang and B. Cheng. Modular model checking of dynamically adaptive programs. Technical report, Michigan State University, 2006.


Collaborative Colleagues:
Daniel Sykes: colleagues
William Heaven: colleagues
Jeff Magee: colleagues
Jeff Kramer: colleagues