Principles of artificial intelligence
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A Component- and Message-Based Architectural Style for GUI Software
IEEE Transactions on Software Engineering - Special issue: best papers of the 17th International Conference on Software Engineering (ICSE-17)
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An Architecture-Based Approach to Self-Adaptive Software
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Jess in Action: Java Rule-Based Systems
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Adaptive execution in complex dynamic worlds
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A comprehensive approach for the development of modular software architecture description languages
ACM Transactions on Software Engineering and Methodology (TOSEM)
Towards a knowledge-based approach to architectural adaptation management
WOSS '04 Proceedings of the 1st ACM SIGSOFT workshop on Self-managed systems
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WADS '05 Proceedings of the 2005 workshop on Architecting dependable systems
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Proceedings of the 2006 international workshop on Self-adaptation and self-managing systems
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FOSE '07 2007 Future of Software Engineering
Supporting architecture- and policy-based self-adaptive software systems
Supporting architecture- and policy-based self-adaptive software systems
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Proceedings of the 34th International Conference on Software Engineering
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Proceedings of the 2013 International Conference on Software Engineering
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Proceedings of the 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
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Proceedings of the First International Workshop on Software Engineering for Systems-of-Systems
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Robotics is a challenging domain that exhibits a clear need for self-adaptive capabilities, as self-adaptation offers the potential for robots to account for their unstable and unpredictable deployment environments. This paper focuses on two case studies in applying a policy- and architecture-based approach to the development of self-adaptive robotic systems. We first describe our domain-independent approach for building self-adaptive systems, discuss two case studies in which we construct self-adaptive Robocode and Mindstorms robots, report on our development experiences, and discuss the challenges we encountered. The paper establishes that it is feasible to apply our approach to the robotics domain, contributes specific examples of supporting novel self-adaptive behavior, offers a discussion of the architectural issues we encountered, and further evaluates our general approach.