Abstract
Agent commitments as a protocol among the participants to melding collaborative patterns typically defined at design-time may not fit the need of collective adaptive systems (CASs). In this paper we propose a Goal-Capability-Commitment (GCC) based context aware collaborative adaptive diagnosis and compensation approach. First, we give a formal and semantic representation of GCC model and define semantic match relations between goals and capabilities/commitments. Second, diagnosing rules are proposed to determine the failures of capabilities and commitments. Third, a generation algorithm apply the capabilities in commitment generation and optimization to verify whether the agent and its partner can collaborate in order to achieve the desired goal under current environment. At last, two experiments over the simulated scenario of automated hospital cart transportation system provide an empirical evaluation of GCC approach.
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Acknowledgment
Project supported by the National Natural Science Foundation of China under Grant (No. 61502355), the Doctor foundation for Science Study Program of Wuhan institute of technology (No. K201475).
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Liu, W., Li, S., Wang, J. (2018). Goal-Capability-Commitment Based Context-Aware Collaborative Adaptive Diagnosis and Compensation. In: Cong Vinh, P., Ha Huy Cuong, N., Vassev, E. (eds) Context-Aware Systems and Applications, and Nature of Computation and Communication. ICTCC ICCASA 2017 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 217. Springer, Cham. https://doi.org/10.1007/978-3-319-77818-1_8
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