Adaptive Rule Systems
Adaptive Rule Systems is a rule-based design framework that dynamically modifies its inference rules in response to changing environmental conditions or input data, thereby distinguishing itself from static rule systems through its capacity for real-time adaptation and learning.
71
Publications
2.5K
Citations
184
Authors
95
Institutions
Publications per year
2017–2026
14
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95
Politecnico di Milano
Milan, Italy
3 h-index
11 publications
146 citations

Macquarie University
Sydney, Australia
2 h-index
3 publications
49 citations

Indian Institute of Technology Hyderabad
Sangāreddi, India
2 h-index
8 publications
256 citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
2 h-index
4 publications
118 citations

Chongqing University
Chongqing, China
2 h-index
10 publications
256 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
57 citations

UNSW Sydney
Sydney, Australia
2 h-index
4 publications
64 citations

Indian Statistical Institute
Kolkata, India
2 h-index
4 publications
78 citations
1–8 of 95
TFS · 3 publications · 195 citations
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3 publications · 116 citations
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1 publications · 19 citations
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1 publications · 76 citations
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1 publications · 31 citations
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