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Verification and testing of safety-critical airborne systems: A model-based methodology., , , , и . Comput. Sci. Inf. Syst., 17 (1): 271-292 (2020)Computational logics and verification techniques of multi-agent commitments: survey., , , , и . Knowl. Eng. Rev., 30 (5): 564-606 (2015)Deep reinforcement learning for the computation offloading in MIMO-based Edge Computing., , , , и . Ad Hoc Networks, (марта 2023)A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices., , , и . ICSOC, том 12571 из Lecture Notes in Computer Science, стр. 319-333. Springer, (2020)Cloudchain: A Blockchain-Based Coopetition Differential Game Model for Cloud Computing., , , и . ICSOC, том 11236 из Lecture Notes in Computer Science, стр. 146-161. Springer, (2018)Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning., , и . IWCMC, стр. 524-529. IEEE, (2023)Explainable AI-based Federated Deep Reinforcement Learning for Trusted Autonomous Driving., , и . IWCMC, стр. 318-323. IEEE, (2022)Designing and Implementing B2B Applications Using Argumentative Agents., , , , и . SoMeT, том 182 из Frontiers in Artificial Intelligence and Applications, стр. 165-189. IOS Press, (2008)Simulating new markets by introducing new accepting policies for the conventional continuous double auction., , , , и . SpringSim, стр. 89-97. SCS/ACM, (2008)Model checking temporal knowledge and commitments in multi-agent systems using reduction., , , , и . Simul. Model. Pract. Theory, (2015)