{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,12]],"date-time":"2024-10-12T04:05:16Z","timestamp":1728705916959},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031232350"},{"type":"electronic","value":"9783031232367"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-23236-7_48","type":"book-chapter","created":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T01:22:43Z","timestamp":1672536163000},"page":"701-713","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Asynchronous and\u00a0Distributed Multi-agent Systems: An Approach Using Actor Model"],"prefix":"10.1007","author":[{"given":"Felipe D.","family":"Reis","sequence":"first","affiliation":[]},{"given":"Tales B.","family":"Nascimento","sequence":"additional","affiliation":[]},{"given":"Carolina G.","family":"Marcelino","sequence":"additional","affiliation":[]},{"given":"Elizabeth F.","family":"Wanner","sequence":"additional","affiliation":[]},{"given":"Henrique E.","family":"Borges","sequence":"additional","affiliation":[]},{"given":"Sancho","family":"Salcedo-Sanz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,1,1]]},"reference":[{"key":"48_CR1","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/S0304-3800(98)00139-2","volume":"113","author":"JA Beecham","year":"1998","unstructured":"Beecham, J.A., Farnsworth, K.D.: Animal foraging from an individual perspective: an object orientated model. Ecol. Model. 113, 141\u2013156 (1998)","journal-title":"Ecol. Model."},{"key":"48_CR2","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.ecolmodel.2011.07.010","volume":"229","author":"L An","year":"2012","unstructured":"An, L.: Modeling human decisions in coupled human and natural systems: review of agent-based models. Ecol. Model. 229, 25\u201336 (2012)","journal-title":"Ecol. Model."},{"issue":"3","key":"48_CR3","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1016\/j.ecolmodel.2004.01.011","volume":"176","author":"F Bousquet","year":"2004","unstructured":"Bousquet, F., Le Page, C.: Multi-agent simulations and ecosystem management: a review. Ecol. Model. 176(3), 313\u2013332 (2004)","journal-title":"Ecol. Model."},{"key":"48_CR4","unstructured":"Friedlander, D., Franklinb. S.: LIDA and a theory of mind. In: Proceedings of the first AGI Conference on Artificial General Intelligence, vol. 171, p. 137. IOS Press (2008)"},{"key":"48_CR5","unstructured":"Bach, J.: The MicroPsi agent architecture. In: Proceedings of ICCM-5, International Conference on Cognitive Modeling, Bamberg, Germany, pp. 15\u201320. Citeseer (2003)"},{"key":"48_CR6","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/978-3-642-35506-6_2","volume-title":"Artificial General Intelligence","author":"J Bach","year":"2012","unstructured":"Bach, J.: MicroPsi 2: the next generation of the MicroPsi framework. In: Bach, J., Goertzel, B., Ikl\u00e9, M. (eds.) AGI 2012. LNCS (LNAI), vol. 7716, pp. 11\u201320. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-35506-6_2"},{"key":"48_CR7","unstructured":"Maturana, H.R.: Everything is said by an observer. In: Thompson, W.I. (ed.) Gaia: A Way of Knowing. Political Implications of the New Biology, pp. 11\u201336 (1987)"},{"key":"48_CR8","doi-asserted-by":"crossref","unstructured":"Hewitt, C. , Zenil, H.: What is computation? Actor model versus Turing\u2019s model. In: A Computable Universe: Understanding and Exploring Nature as Computation, pp. 159\u2013185 (2013)","DOI":"10.1142\/9789814374309_0009"},{"key":"48_CR9","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1007\/978-3-319-94779-2_38","volume-title":"Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection","author":"G Angiani","year":"2018","unstructured":"Angiani, G., Fornacciari, P., Lombardo, G., Poggi, A., Tomaiuolo, M.: Actors based agent modelling and simulation. In: Bajo, J., et al. (eds.) PAAMS 2018. CCIS, vol. 887, pp. 443\u2013455. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-94779-2_38"},{"key":"48_CR10","doi-asserted-by":"crossref","unstructured":"Parizi, M., Sileno, G., van Engers, T., Klous, S.: Run, agent, run! Architecture and benchmarking of actor-based agents. In: Proceedings of the 10th ACM SIGPLAN International Workshop on Programming Based on Actors, Agents, and Decentralized Control, pp. 11\u201320 (2020)","DOI":"10.1145\/3427760.3428339"},{"key":"48_CR11","doi-asserted-by":"crossref","unstructured":"Leon, F.: ActressMAS, a. NET multi-agent framework inspired by the actor model. Mathematics 10(3), 382 (2022)","DOI":"10.3390\/math10030382"},{"issue":"3","key":"48_CR12","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1007\/s11403-021-00323-8","volume":"16","author":"S Crafa","year":"2021","unstructured":"Crafa, S.: From agent-based modeling to actor-based reactive systems in the analysis of financial networks. J. Econ. Interact. Coord. 16(3), 649\u2013673 (2021). https:\/\/doi.org\/10.1007\/s11403-021-00323-8","journal-title":"J. Econ. Interact. Coord."},{"key":"48_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2021.103143","volume":"190","author":"H Nguyen","year":"2021","unstructured":"Nguyen, H., Do, T., Rotter, C.: Optimizing the resource usage of actor-based systems. J. Netw. Comput. Appl. 190, 103143 (2021)","journal-title":"J. Netw. Comput. Appl."},{"key":"48_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.parco.2019.102573","volume":"90","author":"M Starzec","year":"2019","unstructured":"Starzec, M., Starzec, G., Byrski, A., Turek, W.: Distributed ant colony optimization based on actor model. Parallel Comput. 90, 102573 (2019)","journal-title":"Parallel Comput."},{"key":"48_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1007\/978-3-030-50420-5_13","volume-title":"Computational Science \u2013 ICCS 2020","author":"M Idzik","year":"2020","unstructured":"Idzik, M., Byrski, A., Turek, W., Kisiel-Dorohinicki, M.: Asynchronous actor-based approach to multiobjective hierarchical strategy. In: Krzhizhanovskaya, V.V., et al. (eds.) ICCS 2020. LNCS, vol. 12139, pp. 172\u2013185. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-50420-5_13"},{"issue":"5","key":"48_CR16","doi-asserted-by":"publisher","first-page":"4120","DOI":"10.1109\/TPWRS.2020.3000652","volume":"35","author":"D Cao","year":"2020","unstructured":"Cao, D., Hu, W., Zhao, J., Huang, Q., Chen, Z., Blaabjerg, F.: A multi-agent deep reinforcement learning based voltage regulation using coordinated PV inverters. IEEE Trans. Power Syst. 35(5), 4120\u20134123 (2020)","journal-title":"IEEE Trans. Power Syst."},{"key":"48_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.117900","volume":"306","author":"J Li","year":"2022","unstructured":"Li, J., Yu, T., Zhang, X.: Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning. Appl. Energy 306, 117900 (2022)","journal-title":"Appl. Energy"},{"key":"48_CR18","unstructured":"Campos, L., Dickman, R., Graeff, F., Borges, H.: A concurrent, minimalist model for an embodied nervous system. In: International Brazilian Meeting on Cognitive Science (2015)"},{"key":"48_CR19","unstructured":"Hewitt, C.: Actor model of computation: scalable robust information systems. arXiv preprint arXiv:1008.1459 (2010)"},{"key":"48_CR20","unstructured":"Armstrong, J.: Programming Erlang: software for a concurrent world. Pragmatic Bookshelf (2007)"},{"volume-title":"Ergodic Theory","year":"2012","author":"IP Cornfeld","key":"48_CR21","unstructured":"Cornfeld, I.P., Fomin, S.V., Sinai, Y.G.: Ergodic Theory, vol. 245. Springer, New York (2012)"},{"issue":"5","key":"48_CR22","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1002\/cne.920180503","volume":"18","author":"RM Yerkes","year":"1908","unstructured":"Yerkes, R.M., Dodson, J.D.: The relation of strength of stimulus to rapidity of habit-formation. J. Comp. Neurol. Psychol. 18(5), 459\u2013482 (1908)","journal-title":"J. Comp. Neurol. Psychol."}],"container-title":["Communications in Computer and Information Science","Optimization, Learning Algorithms and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-23236-7_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T09:36:27Z","timestamp":1728639387000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-23236-7_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031232350","9783031232367"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-23236-7_48","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"1 January 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"OL2A","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Optimization, Learning Algorithms and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bragan\u00e7a","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ol2a2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ol2a.ipb.pt\/EN_index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"145","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"53","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"37% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}