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Titlebook: Cooperative Information Systems; 29th International C Mohamed Sellami,Maria-Esther Vidal,Hervé Panetto Conference proceedings 2024 The Edit

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11#
發(fā)表于 2025-3-23 11:51:11 | 只看該作者
LABPMN: Location-Aware Business Process Modeling and Notationvertheless, many approaches for the use of location data only exist as concepts, and most existing extensions for BPMN do not fully use the potential gained through IoT..In this paper, we introduce a novel BPMN Extension for location awareness that is, conceptually well-defined and adheres to the BP
12#
發(fā)表于 2025-3-23 14:43:05 | 只看該作者
On the?Semantic Transparency of?Declarative Process Models: The Case of?Constraints knowledge-intensive processes, notations that allow flexible orchestration of activities are crucial for supporting discretionary work. Declarative Process Modeling notations allow describing the interplay between the process activities with constraints that need to be met, without specifying how t
13#
發(fā)表于 2025-3-23 20:42:03 | 只看該作者
14#
發(fā)表于 2025-3-23 22:39:05 | 只看該作者
Discovery of?Workflow Patterns - A Comparison of?Process Discovery Algorithmss discovery aims at deducing a representative process model of real-world execution. So far, process discovery algorithms have been mainly compared regarding their output quality but not yet with regard to their functional capabilities. The well-established workflow control flow patterns imperativel
15#
發(fā)表于 2025-3-24 02:30:51 | 只看該作者
16#
發(fā)表于 2025-3-24 07:25:45 | 只看該作者
Adaptive Multi-agent System for?Dynamic Clustering Applied to?Itineraries Regularities and?Traffic P autonomously. This work presents AMAS4DC a generic Dynamic Clustering model based on Adaptive Multi-Agent System approach. AMAS4DC processes acquired data on the fly using local similarity evaluation for cluster’s creation or fusion. AMAS4DC is then instantiated on two use cases: the dynamic cluste
17#
發(fā)表于 2025-3-24 12:42:44 | 只看該作者
Double Deep Q-Network-Based Time and?Energy-Efficient Mobility-Aware Workflow Migration Approachst formulated as a Markov Decision Process (MDP), and then a Double Deep Q-network (DDQN) algorithm is proposed to identify the optimal policy for workflow offloading and migration. Comprehensive experiments have been conducted and the results demonstrate that our approach outperforms significantly
18#
發(fā)表于 2025-3-24 17:17:57 | 只看該作者
Decentralized and?Autonomous Key Management for?Open Multi-agent Systems of?Embedded Agentsheir right to take part in the system operations with certificates and to secure their communications with asymmetric cryptography. As a result, agents can communicate securely without the risk of their identities being stolen and their communications being tampered with. They are also being able to
19#
發(fā)表于 2025-3-24 21:02:08 | 只看該作者
20#
發(fā)表于 2025-3-25 01:20:08 | 只看該作者
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