An Overview and Comparison of Case-Based Reasoning Frameworks
Abstract Case-Based Reasoning (CBR) is a methodology with many applications in
industrial and scientific domains. Over the past decades, various frameworks have been …
industrial and scientific domains. Over the past decades, various frameworks have been …
Applying MAPE-K control loops for adaptive workflow management in smart factories
Monitoring the state of currently running processes and reacting to ad-hoc situations during
runtime is a key challenge in Business Process Management (BPM). This is especially the …
runtime is a key challenge in Business Process Management (BPM). This is especially the …
[HTML][HTML] Converting semantic web services into formal planning domain descriptions to enable manufacturing process planning and scheduling in industry 4.0
To build intelligent manufacturing systems that react flexibly in case of failures or
unexpected circumstances, manufacturing capabilities of production systems must be …
unexpected circumstances, manufacturing capabilities of production systems must be …
[PDF][PDF] Modeling and Using Complex IoT Time Series Data in Case-Based Reasoning: From Application Scenarios to Implementations.
The research area of Internet of Things (IoT) is gaining more relevance for several domains
and application areas, including Case-Based Reasoning (CBR). However, IoT data is …
and application areas, including Case-Based Reasoning (CBR). However, IoT data is …
EASY: energy-efficient analysis and control processes in the dynamic edge-cloud continuum for industrial manufacturing
According to the guiding principles of Industry 4.0, edge computing enables the data-
sovereign and near-real-time processing of data directly at the point of origin. Using these …
sovereign and near-real-time processing of data directly at the point of origin. Using these …
Improving complex adaptations in process-oriented case-based reasoning by applying rule-based adaptation
Adaptation is a complex and error-prone task in Case-Based Reasoning (CBR), including
the adaptation knowledge acquisition and modeling efforts required for performing …
the adaptation knowledge acquisition and modeling efforts required for performing …
CBR Driven Interactive Explainable AI
Explainable AI (XAI) can greatly enhance user trust and satisfaction in AI-assisted decision-
making processes. Numerous explanation techniques (explainers) exist in the literature, and …
making processes. Numerous explanation techniques (explainers) exist in the literature, and …
[PDF][PDF] Towards Flexible Control of Production Processes: A Requirements Analysis for Adaptive Workflow Management and Evaluation of Suitable Process Modeling …
In the context of Industry 4.0, Artificial Intelligence (AI) methods are used to maximize the
efficiency and flexibility of production processes. The adaptive management of such …
efficiency and flexibility of production processes. The adaptive management of such …
[PDF][PDF] Using Deep Reinforcement Learning for the Adaptation of Semantic Workflows.
Abstract Case-Based Reasoning (CBR) solves new problems by using experience
represented by solved cases. The acquisition of adaptation knowledge and its subsequent …
represented by solved cases. The acquisition of adaptation knowledge and its subsequent …
A framework for AI-based self-adaptive cyber-physical process systems
Digital transformation is both an opportunity and a challenge. To take advantage of this
opportunity for humans and the environment, the transformation process must be …
opportunity for humans and the environment, the transformation process must be …