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Adaptive learning in agents behaviour: A framework for electricity markets simulation., , , , , и . Integr. Comput. Aided Eng., 21 (4): 399-415 (2014)Automatic verification and strategy synthesis for zero-sum and equilibria properties of concurrent stochastic games.. University of Oxford, UK, (2020)British Library, EThOS.Semantic Interoperability for Multiagent Simulation and Decision Support in Power Systems., , , и . PAAMS (Workshops), том 1472 из Communications in Computer and Information Science, стр. 215-226. Springer, (2021)Automated Verification of Concurrent Stochastic Games., , , и . QEST, том 11024 из Lecture Notes in Computer Science, стр. 223-239. Springer, (2018)Scenarios generation for multi-agent simulation of electricity markets based on intelligent data analysis., , , , и . IEEE IA, стр. 5-12. IEEE, (2013)Ontologies for the Interoperability of Heterogeneous Multi-agent Systems in the Scope of Power and Energy Systems., , и . PAAMS (Special Sessions), том 619 из Advances in Intelligent Systems and Computing, стр. 300-301. Springer, (2017)Automatic verification of concurrent stochastic systems., , , и . Formal Methods Syst. Des., 58 (1-2): 188-250 (2021)Electricity Markets Ontology to Support MASCEM's Simulations., , , , и . PAAMS (Workshops), том 616 из Communications in Computer and Information Science, стр. 393-404. Springer, (2016)Multi-Agent-Based CBR Recommender System for Intelligent Energy Management in Buildings., , , , , и . IEEE Syst. J., 13 (1): 1084-1095 (2019)Demonstration of ALBidS: Adaptive Learning Strategic Bidding System., , , и . PAAMS, том 9662 из Lecture Notes in Computer Science, стр. 281-285. Springer, (2016)