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Found 18 papers, 13 papers with code
PDPK: A Framework to Synthesise Process Data and Corresponding Procedural Knowledge for Manufacturing
To the best of our knowledge, no real-world datasets containing process data and corresponding procedural knowledge are publicly available, possibly due to corporate apprehensions regarding the loss of knowledge advances.
Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System
Achieving at least some level of explainability requires complex analyses for many machine learning systems, such as common black-box models.
Learning Classifier Systems for Self-Explaining Socio-Technical-Systems
In socio-technical settings, operators are increasingly assisted by decision support systems.
Separating Rule Discovery and Global Solution Composition in a Learning Classifier System
However, it is essential to profit from their application, resulting in a need for explanations for both the decision making process and the model.
Transfer Learning for Automated Test Case Prioritization Using XCSF
With the rise of test automation, companies start to rely on large amounts of test cases.
An artificial immune system for black box test case selection
For software validation a transformation from manual to automated tests can be observed which enables companies to implement large numbers of test cases.
XCSF with Experience Replay for Automatic Test Case Prioritization
With the rise of test automation, companies start to rely on huge numbers of tests.
An Artificial Immune System for Adaptive Test Selection
The verification of a new product is a major challenge for companies.
Metaheuristics for the Minimum Set Cover Problem: A Comparison
As the MSCP turns out to appear in several real world problems, various approaches exist where evolutionary algorithms and metaheuristics are utilized in order to achieve good average case results.
XCSF for Automatic Test Case Prioritization
Testing is a crucial part in the development of a new product.
An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems
The mathematical description of the metrological uncertainty of fused or propagated values can be seen as a first step towards the development of a harmonized approach for uncertainty in distributed CPSs in the context of Industrie 4. 0.
A Germinal Centre Artificial Immune System for Software Test Suite Reduction
Testing is a crucial part in the development of a new product.
Generic approaches for parallel rule matching in learning classifier systems
Thus we show that our approaches cannot only decrease the runtime, but are also reusable for most learning classifier systems and computing systems.
XCS as a reinforcement learning approach to automatic test case prioritization
We are the first to apply XCS classifier systems (XCS) for this use case and reveal that XCS is not only suitable for this problem, but can also be superior to the aforementioned neural network and leads to more stable results.
SupRB: A Supervised Rule-based Learning System for Continuous Problems
While an essential and much-researched ingredient for that trust is prediction quality, it seems that this alone is not enough.
XCS Classifier System with Experience Replay
XCS constitutes the most deeply investigated classifier system today.
Bootstrapping a DQN Replay Memory with Synthetic Experiences
An important component of many Deep Reinforcement Learning algorithms is the Experience Replay which serves as a storage mechanism or memory of made experiences.
On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes
Furthermore, they have to be taken into consideration when self-improving the own configuration decisions based on a feedback loop concept, e. g., known from the SASO domain or the Autonomic and Organic Computing initiatives.
