{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T14:33:35Z","timestamp":1781102015877,"version":"3.54.1"},"reference-count":21,"publisher":"IGI Global Scientific Publishing","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,1]]},"abstract":"<jats:p>Multi-agent multi-team systems are commonly seen in environments where hierarchical layers of goals are at play. For example, theater-wide combat scenarios where multiple levels of command and control are required for proper execution of goals from the general to the foot soldier. Additionally, similar structures can be seen in game environments, where agents work together as teams to compete with other teams. The different agents within the same team must, while maintaining their own \u201cpersonality\u201d, work together and coordinate with each other to achieve a common team goal. This paper develops strategy-based multi-agent multi-team systems, where strategy is framed as an instrument at the team level to coordinate the multiple agents of a team in a cohesive way. The authors present SiMAMT, a framework for strategy-based multi-agent multi-team systems. The different components of the framework, including strategy simulation, strategy inference, strategy evaluation, and strategy selection are described. A formal specification of strategy and strategy-based multi-agent multi-team systems is provided. An example and experimental results are given to illustrate the proposed framework and its efficacy.<\/jats:p>","DOI":"10.4018\/ijmstr.2017010101","type":"journal-article","created":{"date-parts":[[2017,5,31]],"date-time":"2017-05-31T13:50:08Z","timestamp":1496238608000},"page":"1-29","source":"Crossref","is-referenced-by-count":0,"title":["SiMAMT"],"prefix":"10.4018","volume":"5","author":[{"given":"D. Michael","family":"Franklin","sequence":"first","affiliation":[{"name":"Department of Software Engineering and Game Development, Kennesaw State University Marietta Campus, Marietta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaolin","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Georgia State University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJMSTR.2017010101-0","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(02)00121-2"},{"key":"IJMSTR.2017010101-1","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1613\/jair.1332","article-title":"Existence of Multiagent Equilibria with Limited Agents.","volume":"22","author":"M.Bowling","year":"2004","journal-title":"Journal of Artificial Intelligence Research"},{"key":"IJMSTR.2017010101-2","article-title":"Strategy Inference in Stochastic Games Using Belief Networks Comprised of Probabilistic Graphical Models.","author":"D. M.Franklin","year":"2015","journal-title":"Proceedings of FLAIRS"},{"key":"IJMSTR.2017010101-3","article-title":"Strategy Inference via Real-time Homeomorphic and Isomorphic Tree Matching of Probabilistic Graphical Models.","author":"D. M.Franklin","year":"2016","journal-title":"Proceedings of FLAIRS"},{"issue":"1","key":"IJMSTR.2017010101-4","first-page":"242","article-title":"Correlated Q-learning.","volume":"20","author":"A.Greenwald","year":"2003","journal-title":"ICML"},{"key":"IJMSTR.2017010101-5","article-title":"Multiagent reinforcement learning: Theoretical framework and an algorithm.","volume":"ol. 242)","author":"J.Hu","year":"1998","journal-title":"Proceedings of the Fifteenth International Conference on Machine Learning"},{"key":"IJMSTR.2017010101-6","doi-asserted-by":"publisher","DOI":"10.5591\/978-1-57735-516-8\/IJCAI11-445"},{"key":"IJMSTR.2017010101-7","author":"K.Laviers","year":"2009","journal-title":"Improving offensive performance through opponent modeling"},{"key":"IJMSTR.2017010101-8","first-page":"163)","article-title":"Markov games as a framework for multiagent reinforcement learning.","volume":"Vol. 157","author":"M.Littman","year":"1994","journal-title":"Proceedings of the Eleventh International Conference on Machine Learning"},{"key":"IJMSTR.2017010101-9","doi-asserted-by":"crossref","unstructured":"Mohri, M., Pereira, F., & Riley, M. (2000). The design principles of a weighted finite-state transducer library. Theoretical Computer Science, 231(1), 17\u201332. Retrieved from http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0304397599000146","DOI":"10.1016\/S0304-3975(99)00014-6"},{"key":"IJMSTR.2017010101-10","doi-asserted-by":"crossref","unstructured":"Moore, E. F. (1956). Gedanken-experiments on sequential machines. Automata studies, 34, 129\u2013153.","DOI":"10.1515\/9781400882618-006"},{"key":"IJMSTR.2017010101-11","doi-asserted-by":"publisher","DOI":"10.1109\/T-C.1971.223108"},{"key":"IJMSTR.2017010101-12","doi-asserted-by":"publisher","DOI":"10.1023\/A:1015575522401"},{"key":"IJMSTR.2017010101-13","doi-asserted-by":"crossref","unstructured":"Paul, Soumya & Ramanujam, R. (2010). Imitation in Large Games. Proceedings of GandALF \u201810 (pp. 162-172).","DOI":"10.4204\/EPTCS.25.16"},{"key":"IJMSTR.2017010101-14","author":"J.Pearl","year":"1988","journal-title":"Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference"},{"key":"IJMSTR.2017010101-15","doi-asserted-by":"publisher","DOI":"10.1147\/rd.32.0114"},{"key":"IJMSTR.2017010101-16","first-page":"17","article-title":"Artificial Intelligence: A Modern Approach.","volume":"12","author":"S.Russell","year":"2003","journal-title":"Chp."},{"key":"IJMSTR.2017010101-17","first-page":"293","author":"P.Stone","year":"1999","journal-title":"Task decomposition and dynamic role assignment for real-time strategic teamwork. Intelligent Agents V: Agents Theories"},{"key":"IJMSTR.2017010101-18","doi-asserted-by":"crossref","unstructured":"Vazirani, V. V. (1989). NC algorithms for computing the number of perfect matchings in k3,3-free graphs and related problems. Information and Computation, 80(2), 152\u2013164. Retrieved from http:\/\/www.sciencedirect.com\/science\/article\/pii\/0890540189900175","DOI":"10.1016\/0890-5401(89)90017-5"},{"key":"IJMSTR.2017010101-19","unstructured":"Warpig.com. (2016, December). PSP Field Layout Phoenix 2009. Retrieved from http:\/\/www.warpig.com\/paintball\/tournament\/psp\/2009\/phoenix\/fields\/"},{"key":"IJMSTR.2017010101-20","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2009.5286483"}],"container-title":["International Journal of Monitoring and Surveillance Technologies Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=182504","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T16:31:02Z","timestamp":1651768262000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJMSTR.2017010101"}},"subtitle":["A Framework for Strategy-Based Multi-Agent Multi-Team Systems"],"short-title":[],"issued":{"date-parts":[[2017,1]]},"references-count":21,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.4018\/ijmstr.2017010101","relation":{},"ISSN":["2166-7241","2166-725X"],"issn-type":[{"value":"2166-7241","type":"print"},{"value":"2166-725X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1]]}}}