Modeling multi-valued biological interaction networks using fuzzy answer set programming
From MaRDI portal
Publication:1795202
DOI10.1016/j.fss.2018.01.003zbMath1397.68027OpenAlexW2782964641MaRDI QIDQ1795202
Martine De Cock, Ling-Hong Hung, Steven Schockaert, Mushthofa Mushthofa, Kathleen Marchal
Publication date: 16 October 2018
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: http://orca.cf.ac.uk/109311/1/FASPGRN_Journal.pdf
Reasoning under uncertainty in the context of artificial intelligence (68T37) Logic programming (68N17) Systems biology, networks (92C42)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Complexity of fuzzy answer set programming under Łukasiewicz semantics
- Modeling biological networks by action languages via answer set programming
- The \textit{Arabidopsis thaliana} flower organ specification gene regulatory network determines a robust differentiation process
- Finiteness in infinite-valued Łukasiewicz logic
- Computing maximal and minimal trap spaces of Boolean networks
- The topology of the regulatory interactions predicts the expression pattern of the segment polarity genes in \textit{Drosophila melanogaster}
- Segmenting the fly embryo: a logical analysis of the \textit{pair-rule} cross-regulatory module
- Stable Models of Fuzzy Propositional Formulas
- Fuzzy Equilibrium Logic
- Statistical mechanics of complex networks
- Solving Disjunctive Fuzzy Answer Set Programs
- Fuzzy Answer Set Programming
- Answer Set Programming: A Primer
- Knowledge Representation, Reasoning and Declarative Problem Solving
- Fuzzy answer set computation via satisfiability modulo theories
- Bio-Logics: Logical Analysis of Bioregulatory Networks
- The DLV system for knowledge representation and reasoning
- Fuzzy answer sets approximations
- Mapping multivalued onto Boolean dynamics
- Fuzzy logic programming
This page was built for publication: Modeling multi-valued biological interaction networks using fuzzy answer set programming