Artificial Intelligence
Artificial Intelligence
Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Qualitative physics using dimensional analysis
Artificial Intelligence
General system problem solving paradigm for qualitative modeling
Qualitative simulation modeling and analysis
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Qualitative reasoning: modeling and simulation with incomplete knowledge
Qualitative reasoning: modeling and simulation with incomplete knowledge
Automated Refinement of First-Order Horn-Clause Domain Theories
Machine Learning
Qualitative system identification: deriving structure from behavior
Artificial Intelligence
Learning Qualitative Models of Dynamic Systems
Machine Learning - special issue on inductive logic programming
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Semi-quantitative system identification
Artificial Intelligence
Reasoning about nonlinear system identification
Artificial Intelligence
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Practical Guide to Computer Methods for Engineers
Practical Guide to Computer Methods for Engineers
Machine Learning
Inductive Logic Programming: From Machine Learning to Software Engineering
Inductive Logic Programming: From Machine Learning to Software Engineering
Declarative Bias in Equation Discovery
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Discovering the Structure of Partial Differential Equations from Example Behaviour
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
Induction in first order logic from noisy training examples and fixed example set sizes
Induction in first order logic from noisy training examples and fixed example set sizes
AI Magazine
The Knowledge Engineering Review
The Knowledge Engineering Review
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
The Journal of Machine Learning Research
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Qualitative system identification from imperfect data
Journal of Artificial Intelligence Research
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Experiment selection for the discrimination of semi-quantitative models of dynamical systems
Artificial Intelligence
Rough intervals---enhancing intervals for qualitative modeling of technical systems
Artificial Intelligence
Reconstruction of switching thresholds in piecewise-affine models of genetic regulatory networks
HSCC'06 Proceedings of the 9th international conference on Hybrid Systems: computation and control
Comparison of four procedures for the identification of hybrid systems
HSCC'05 Proceedings of the 8th international conference on Hybrid Systems: computation and control
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
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Over the last two decades, qualitative reasoning (QR) has become an important domain in Artificial Intelligence. QDE (Qualitative Differential Equation) model learning (QML), as a branch of QR, has also received an increasing amount of attention; many systems have been proposed to solve various significant problems in this field. QML has been applied to a wide range of fields, including physics, biology and medical science. In this paper, we first identify the scope of this review by distinguishing QML from other QML systems, and then review all the noteworthy QML systems within this scope. The applications of QML in several application domains are also introduced briefly. Finally, the future directions of QML are explored from different perspectives.