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Ingrid Nunes
Researcher at Universidade Federal do Rio Grande do Sul
Publications - 96
Citations - 1042
Ingrid Nunes is an academic researcher from Universidade Federal do Rio Grande do Sul. The author has contributed to research in topics: Software system & Multi-agent system. The author has an hindex of 13, co-authored 93 publications receiving 736 citations. Previous affiliations of Ingrid Nunes include King's College London & Pontifical Catholic University of Rio de Janeiro.
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A systematic review and taxonomy of explanations in decision support and recommender systems
TL;DR: In this paper, a comprehensive taxonomy of aspects to be considered when designing explanation facilities for current and future decision support systems for advice-giving systems is presented, which includes a variety of different facets, such as explanation objective, responsiveness, content and presentation.
Journal ArticleDOI
A systematic review and taxonomy of explanations in decision support and recommender systems
Ingrid Nunes,Dietmar Jannach +1 more
TL;DR: This work systematically review the literature on explanations in advice-giving systems, which includes recommender systems, and derives a novel comprehensive taxonomy of aspects to be considered when designing explanation facilities for current and future decision support systems.
Proceedings ArticleDOI
On learning in collective self-adaptive systems: state of practice and a 3D framework
Mirko D'Angelo,Simos Gerasimou,Sona Ghahremani,Johannes Grohmann,Ingrid Nunes,Evangelos Pournaras,Sven Tomforde +6 more
TL;DR: A multifaceted analysis of existing CSAS with learning capabilities reported in the literature is performed and a 3D framework is introduced that illustrates the learning aspects of CSAS considering the dimensions of autonomy, knowledge access, and behaviour, and facilitates the selection of learning techniques and models.
Journal ArticleDOI
NFV Resource Allocation: a Systematic Review and Taxonomy of VNF Forwarding Graph Embedding
TL;DR: This work systematically review the literature on the VNF-FGE problem and presents a novel taxonomy for the classification and study of proposed solutions to this problem, providing recommendations for future work.
Proceedings ArticleDOI
Softgoal-based plan selection in model-driven BDI agents
Ingrid Nunes,Michael Luck +1 more
TL;DR: A model-driven approach that allows modelling agents based on an extended BDI model and automatically generating source code that implements agents with the ability of selecting plans and relies on the multi-attribute utility theory, taking into account the uncertainty of plan outcomes.