Bayesian artificial intelligence for tackling uncertainty in self-adaptive systems: The case of dynamic decision networks

Bencomo, Nelly; Belaggoun, Amel; Issarny, Valérie

doi:10.1109/raise.2013.6615198

Bayesian artificial intelligence for tackling uncertainty in self-adaptive systems: The case of dynamic decision networks

Bencomo, Nelly; Belaggoun, Amel; Issarny, Valérie

Authors

Dr Nelly Bencomo nelly.bencomo@durham.ac.uk
Associate Professor

Amel Belaggoun

Valérie Issarny

Citation

Bencomo, N., Belaggoun, A., & Issarny, V. (2013). Bayesian artificial intelligence for tackling uncertainty in self-adaptive systems: The case of dynamic decision networks. . https://doi.org/10.1109/raise.2013.6615198

Conference Name	2nd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2013, San Francisco, CA, USA, May 25-26, 2013
Publication Date	2013
Deposit Date	Sep 29, 2022
Publisher	Institute of Electrical and Electronics Engineers
Pages	7-13
DOI	https://doi.org/10.1109/raise.2013.6615198

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