Um Mapeamento de Sistemas Multiagentes e Ativos Digitais com uma Proposta de Aplicação em Smart Parking
Resumo
Com o crescimento do paradigma de cidades inteligentes, outros escopos começam a ser explorados. No contexto de Smart Parking, por exemplo, é possível melhorar o controle ou a gestão de reserva de vagas, através da aplicação de Sistemas Multiagentes (SMA). Integrar SMA e Blockchain neste contexto pode proporcionar um aprimoramento da eficiência, transparência e experiência do usuário nas operações de estacionamento, contribuindo para o desenvolvimento de cidades mais inteligentes e sustentáveis. Este artigo apresenta um mapeamento de artigos a respeito da área de SMA que usam agentes BDI e ativos digitais aplicados em um Smart Parking. Além disso, uma proposta de implementação baseado nesses conceitos é descrita.
Referências
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Calvaresi, D., Dubovitskaya, A., Retaggi, D., F. Dragoni, A., and Schumacher, M. (2018a). Trusted registration, negotiation, and service evaluation in multi-agent systems throughout the blockchain technology. In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pages 56–63. DOI: 10.1109/WI.2018.0-107.
Calvaresi, D., Mattioli, V., Dubovitskaya, A., Dragoni, A. F., and Schumacher, M. (2018b). Reputation management in multi-agent systems using permissioned blockchain technology. In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), page 719–725. DOI: 10.1109/wi.2018.000-5.
Castro, L. F. S. D., Alves, G. V., and Borges, A. P. (2017). Using trust degree for agents in order to assign spots in a Smart Parking. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 6(2):45–55. DOI: 10.14201/ADCAIJ207624555.
GmbH, B. (2018). BigchainDB 2.0 The Blockchain Database. [link].
Kitchenham, B. A. and Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. Technical Report EBSE 2007-001, Keele University and Durham University Joint Report.
Lazarin, N. M., Coelho, I. M., Pantoja, C. E., and Viterbo, J. (2023). Velluscinum: A middleware for using digital assets in multi-agent systems. In Mathieu, P., Dignum, F., Novais, P., and De la Prieta, F., editors, Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection, pages 200–212, Cham. Springer Nature Switzerland. DOI: 10.1007/978-3-031-37616-0_17.
Liu, S., Hennequin, S., and Roy, D. (2021). Enterprise platform of logistics services based on a multi-agents mechanism and blockchains. IFAC-PapersOnLine, 54(1):825–830. DOI: 10.1016/j.ifacol.2021.08.097.
Luo, F., Dong, Z. Y., Liang, G., Murata, J., and Xu, Z. (2019). A distributed electricity trading system in active distribution networks based on multi-agent coalition and blockchain. IEEE Transactions on Power Systems, 34(5):4097–4108. DOI: 10.1109/tp-wrs.2018.2876612.
Mellado, A., Alves, G. V., Leitão, P., and Borges, A. P. (2021). Um Módulo de Precificação Dinâmica em Sistema Multiagente de um Estacionamento Inteligente. Revista Eletrônica de Iniciação Científica em Computação, 19(1). [link].
Mhamdi, H., Soufiene, B. O., Zouinkhi, A., Ali, O., and Sakli, H. (2022). Trust-based smart contract for automated agent to agent communication. Computational Intelligence and Neuroscience, 2022:1–11. DOI: 10.1155/2022/5136865.
Minarsch, D., Favorito, M., Hosseini, S. A., Turchenkov, Y., and Ward, J. (2022). Autonomous economic agent framework. In Alechina, N., Baldoni, M., and Logan, B., editors, Engineering Multi-Agent Systems, pages 237–253, Cham. Springer International Publishing. DOI: 10.1007/978-3-030-97457-2_14.
Papi, F. G., Hübner, J. F., and de Brito, M. (2022). A blockchain integration to support transactions of assets in multi-agent systems. Engineering Applications of Artificial Intelligence, 107:104534. DOI: 10.1016/j.engappai.2021.104534.
Rao, A. S. (1996). AgentSpeak(L): BDI agents speak out in a logical computable language. In Carbonell, J. G., Siekmann, J., Goos, G., Hartmanis, J., van Leeuwen, J., Van de Velde, W., and Perram, J. W., editors, Agents Breaking Away, volume 1038, pages 42–55. Springer Berlin Heidelberg, Berlin, Heidelberg. Series Title: Lecture Notes in Computer Science. DOI: 10.1007/BFb0031845.
Song, Y., Gao, X., Li, P., and Yang, C. (2022). Resilience network controller design for multi-domain sdn: A bdi-based framework. In 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), pages 1–5. DOI: 10.1109/VTC2022-Spring54318.2022.9860710.
Boissier, O., Hübner, J. F., and Ricci, A. (2016). The JaCaMo Framework. In Aldewereld, H., Boissier, O., Dignum, V., Noriega, P., and Padget, J., editors, Social Coordination Frameworks for Social Technical Systems, volume 30, pages 125–151. Springer International Publishing, Cham. Series Title: Law, Governance and Technology Series. DOI: 10.1007/978-3-319-33570-4_7.
Bratman, M. (1987). Intention, plans, and practical reason. CSLI.
Calvaresi, D., Calbimonte, J.-P., Dubovitskaya, A., Mattioli, V., Piguet, J.-G., and Schumacher, M. (2019). The good, the bad, and the ethical implications of bridging blockchain and multi-agent systems. Information, 10(12):363. DOI: 10.3390/info10120363.
Calvaresi, D., Dubovitskaya, A., Retaggi, D., F. Dragoni, A., and Schumacher, M. (2018a). Trusted registration, negotiation, and service evaluation in multi-agent systems throughout the blockchain technology. In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pages 56–63. DOI: 10.1109/WI.2018.0-107.
Calvaresi, D., Mattioli, V., Dubovitskaya, A., Dragoni, A. F., and Schumacher, M. (2018b). Reputation management in multi-agent systems using permissioned blockchain technology. In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), page 719–725. DOI: 10.1109/wi.2018.000-5.
Castro, L. F. S. D., Alves, G. V., and Borges, A. P. (2017). Using trust degree for agents in order to assign spots in a Smart Parking. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 6(2):45–55. DOI: 10.14201/ADCAIJ207624555.
GmbH, B. (2018). BigchainDB 2.0 The Blockchain Database. [link].
Kitchenham, B. A. and Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. Technical Report EBSE 2007-001, Keele University and Durham University Joint Report.
Lazarin, N. M., Coelho, I. M., Pantoja, C. E., and Viterbo, J. (2023). Velluscinum: A middleware for using digital assets in multi-agent systems. In Mathieu, P., Dignum, F., Novais, P., and De la Prieta, F., editors, Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection, pages 200–212, Cham. Springer Nature Switzerland. DOI: 10.1007/978-3-031-37616-0_17.
Liu, S., Hennequin, S., and Roy, D. (2021). Enterprise platform of logistics services based on a multi-agents mechanism and blockchains. IFAC-PapersOnLine, 54(1):825–830. DOI: 10.1016/j.ifacol.2021.08.097.
Luo, F., Dong, Z. Y., Liang, G., Murata, J., and Xu, Z. (2019). A distributed electricity trading system in active distribution networks based on multi-agent coalition and blockchain. IEEE Transactions on Power Systems, 34(5):4097–4108. DOI: 10.1109/tp-wrs.2018.2876612.
Mellado, A., Alves, G. V., Leitão, P., and Borges, A. P. (2021). Um Módulo de Precificação Dinâmica em Sistema Multiagente de um Estacionamento Inteligente. Revista Eletrônica de Iniciação Científica em Computação, 19(1). [link].
Mhamdi, H., Soufiene, B. O., Zouinkhi, A., Ali, O., and Sakli, H. (2022). Trust-based smart contract for automated agent to agent communication. Computational Intelligence and Neuroscience, 2022:1–11. DOI: 10.1155/2022/5136865.
Minarsch, D., Favorito, M., Hosseini, S. A., Turchenkov, Y., and Ward, J. (2022). Autonomous economic agent framework. In Alechina, N., Baldoni, M., and Logan, B., editors, Engineering Multi-Agent Systems, pages 237–253, Cham. Springer International Publishing. DOI: 10.1007/978-3-030-97457-2_14.
Papi, F. G., Hübner, J. F., and de Brito, M. (2022). A blockchain integration to support transactions of assets in multi-agent systems. Engineering Applications of Artificial Intelligence, 107:104534. DOI: 10.1016/j.engappai.2021.104534.
Rao, A. S. (1996). AgentSpeak(L): BDI agents speak out in a logical computable language. In Carbonell, J. G., Siekmann, J., Goos, G., Hartmanis, J., van Leeuwen, J., Van de Velde, W., and Perram, J. W., editors, Agents Breaking Away, volume 1038, pages 42–55. Springer Berlin Heidelberg, Berlin, Heidelberg. Series Title: Lecture Notes in Computer Science. DOI: 10.1007/BFb0031845.
Song, Y., Gao, X., Li, P., and Yang, C. (2022). Resilience network controller design for multi-domain sdn: A bdi-based framework. In 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), pages 1–5. DOI: 10.1109/VTC2022-Spring54318.2022.9860710.
Publicado
30/08/2023
Como Citar
OLIVEIRA, Gabriel L. M.; ALVES, Gleifer Vaz; LAZARIN, Nilson Mori.
Um Mapeamento de Sistemas Multiagentes e Ativos Digitais com uma Proposta de Aplicação em Smart Parking. In: WORKSHOP-ESCOLA DE SISTEMAS DE AGENTES, SEUS AMBIENTES E APLICAÇÕES (WESAAC), 17. , 2023, Pelotas/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 32-43.
ISSN 2326-5434.
