Schlagworte:
- agent chatbots
- agent-based chatbots
- autonomous vehicle
- binary neural networks
- blockchain
- bots
- Computational persuasioneHealthBehavior changeEthicsLegal implicationsSystematic literature review
- conversational agents
- cooperative intelligent transport systems (C-ITS)
- cooperative intersection management
- end-user satisfaction
- explainability
- eXplainable Artificial Intelligence (XAI)
- explanation formulation
- global explanations
- goal-based XAI
- linear model
- MAS
- multiagent systems
- one-to-many negotiation mechanism
- Quality of Experience
- rules extraction
- rules induction
- scheduling
- UAV
- virtual platooning
Publikationen von Yazan Mualla sortiert nach Aktualität
| , , , , , , und , Explainable and Transparent AI and Multi-Agent Systems, Springer, LNAI, 2023 |
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| , , , , , , , und , Computational persuasion technologies, explainability, and ethical-legal implications: A systematic literature review (2025), in: Computers in Human Behavior Reports, 17(100577) |
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| , , , , , , und , Explainable and Transparent AI and Multi-Agent Systems, Springer, 2023 |
| Explainable and Transparent AI and Multi-Agent Systems, Springer, 2023 |
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| , , , und , Exploring agent-based chatbots: a systematic literature review (2023), in: Journal of Ambient Intelligence and Humanized Computing |
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| , , , , , , und , Autonomous intersection management_ optimal Trajectories, and Efficient Scheduling (2023), in: MDPI Sensors |
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| , , , , , , und , A DEXiRE for Extracting Propositional Rules from Neural Networks via Binarization (2022), in: MDPI Electronics, 11:24 |
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| , , , , , , und , A Human-Agent Architecture for Explanation Formulation, in: proceedings of BNAIC, 2021 |
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| , , , , , , und , The Quest of Parsimonious XAI: a Human-Agent Architecture for Explanation Formulation (2021), in: Artificial Intelligence |
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| , , , , , , und , One-to-Many Negotiation QoE Management Mechanism for End-user Satisfaction (2021), in: IEEE Access |
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| , , , und , Explainable Multi-Agent Systems through Blockchain Technology, 2019 |
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