Academic literature on the topic 'Competing agents'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Competing agents.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Competing agents"
Agnetis, Allesandro, Pitu B. Mirchandani, Dario Pacciarelli, and Andrea Pacifici. "Scheduling Problems with Two Competing Agents." Operations Research 52, no. 2 (April 2004): 229–42. http://dx.doi.org/10.1287/opre.1030.0092.
Full textTESCH, THOMAS, PETER FANKHAUSER, and ARIS M. OUKSEL. "ARBITRATION PROTOCOLS FOR COMPETING SOFTWARE AGENTS." International Journal of Cooperative Information Systems 10, no. 01n02 (March 2001): 125–43. http://dx.doi.org/10.1142/s021884300100028x.
Full textPlaza, Enric, Josep Llu�s Arcos, Pablo Noriega, and Carles Sierra. "Competing agents in agent-mediated institutions." Personal Technologies 2, no. 3 (September 1998): 212–20. http://dx.doi.org/10.1007/bf01321177.
Full textVázquez, Alexei. "Self-organization in populations of competing agents." Physical Review E 62, no. 4 (October 1, 2000): R4497—R4500. http://dx.doi.org/10.1103/physreve.62.r4497.
Full textWANG, BING-HONG, and BAOSHENG YUAN. "EVOLUTIONARY DYNAMICS OF COMPETING BOOLEAN NETWORK AGENTS." International Journal of Modern Physics B 21, no. 23n24 (September 30, 2007): 4041–47. http://dx.doi.org/10.1142/s0217979207045177.
Full textPaczuski, Maya, Kevin E. Bassler, and Álvaro Corral. "Self-Organized Networks of Competing Boolean Agents." Physical Review Letters 84, no. 14 (April 3, 2000): 3185–88. http://dx.doi.org/10.1103/physrevlett.84.3185.
Full textLee, Wen-Chiung, and Jen-Ya Wang. "A scheduling problem with three competing agents." Computers & Operations Research 51 (November 2014): 208–17. http://dx.doi.org/10.1016/j.cor.2014.06.011.
Full textChung, Dae-Young, and Byung-Cheon Choi. "Just-in-time Scheduling with Multiple Competing Agents." Journal of the Korean Operations Research and Management Science Society 37, no. 1 (March 31, 2012): 19–28. http://dx.doi.org/10.7737/jkorms.2012.37.1.019.
Full textHall, Victoria M., Alyssa Thornton, Elizabeth K. Miehls, Jeffery A. Bertke, and Jennifer A. Swift. "Uric Acid Crystallization Interrupted with Competing Binding Agents." Crystal Growth & Design 19, no. 12 (November 4, 2019): 7363–71. http://dx.doi.org/10.1021/acs.cgd.9b01225.
Full textDhar, Deepak, V. Sasidevan, and Bikas K. Chakrabarti. "Emergent cooperation amongst competing agents in minority games." Physica A: Statistical Mechanics and its Applications 390, no. 20 (October 2011): 3477–85. http://dx.doi.org/10.1016/j.physa.2011.05.014.
Full textDissertations / Theses on the topic "Competing agents"
Rodrigues, Tabajara Krausburg. "Constrained coalition formation among heterogeneous agents for the multi-agent programming contest." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2018. http://tede2.pucrs.br/tede2/handle/tede/8102.
Full textApproved for entry into archive by Sheila Dias (sheila.dias@pucrs.br) on 2018-06-06T13:05:51Z (GMT) No. of bitstreams: 1 TABAJARA_KRAUSBURG_RODRIGUES_DIS.pdf: 4049392 bytes, checksum: 154302eff9df959cfa74d6c0faec5d4e (MD5)
Made available in DSpace on 2018-06-06T13:35:29Z (GMT). No. of bitstreams: 1 TABAJARA_KRAUSBURG_RODRIGUES_DIS.pdf: 4049392 bytes, checksum: 154302eff9df959cfa74d6c0faec5d4e (MD5) Previous issue date: 2018-03-26
Esta disserta??o apresenta um estudo sobre forma??o de coaliz?es entre agentes heterog?neos para a competi??o de programa??o multiagente de 2017. Foi investigado e aplicado a forma??o de estruturas de coaliz?es entre agentes para resolver problemas log?sticos simulados sobre o mapa de uma cidade real. A fim de atingir o objetivo deste trabalho, foram integrados algoritmos formadores de coaliz?es na plataforma JaCaMo por meio de um artefato CArtAgO chamado CFArtefact. Foi utilizada a implementa??o provida pelo time SMART-JaCaMo (time participante da competi??o multiagente), para experimentar a forma??o de coaliz?es na competi??o. Tr?s abordagens foram avaliadas no dom?nio da competi??o em diferentes configura??es. A primeira abordagem utiliza somente aloca??o de tarefas para resolver o problema. A segunda e a terceira abordagem utilizam a t?cnica de forma??o de coaliz?es anteriormente ? aloca??o de tarefas; dentre estas abordagens, uma utiliza um algor?timo ?timo para resolver o problema e a outra um heur?stico. As an?lises dos experimentos realizados mostram que algor?timos formadores de coaliz?es podem melhorar a performance do time participante da competi??o quando a taxa de trabalhos gerados pelo simulador ? baixa. Entretanto, conforme a taxa de trabalhos aumenta, a abordagem que realiza somente aloca??o de tarefas obt?m um desempenho melhor quando comparada as demais. Mesmo a abordagem heur?stica tem desempenho pr?ximo ? abordagem ?tima para coaliz?es. Desta forma, ? poss?vel concluir que forma??o de coaliz?es possui grande valia para balancear os agentes para um conjunto de trabalhos que precisa ser completado.
This work focuses on coalition formation among heterogeneous agents for the 2017 multiagent programming contest. An agent is a computer system that is capable of independent action to achieve its goals. In order to increase the effectiveness of the agents, we can organise them into coalitions, in which the agents collaborate with each other to achieve individual or common goals. We investigate and apply coalition structure generation (the first activity of the coalition formation process) in simulated scenarios, specifically the 2017 contest scenario, where the agents forming a competing team cooperate to solve logistic problems simulated on the map of a real city. In order to achieve our goal, we integrate coalition formation algorithms into the JaCaMo platform by means of a CArtAgO artefact, named CFArtefact. We use the implementation of the SMART JaCaMo team for experimenting with the coalition formation approach in the contest scenario. We experiment on three approaches in the contest domain with different configurations. In the first, we use only a taskallocation mechanism, while the other approaches use an optimal coalition formation algorithm and a heuristic coalition formation algorithm. We conducted several experiments to compare the advantages of each approach. Our results show that coalition formation algorithms can improve the performance of a participating team when dealing with low job rates (i.e., how quickly new jobs are created by the simulation). However, as we increase the job rate, the approach using only task allocation has better performance. Even a heuristic coalition formation approach has close performance to the optimal one in that case. Coalition formation can play an important role when we aim to balance each group of agents to accomplish some particular goal given a larger team of cooperating agents.
Holland, James Michael. "Competing in a Confined Arena." University of Akron / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=akron1386720175.
Full textWiktorek, Alexandra Christine. "Rusyns of the Carpathians competing agendas of identity /." Connect to Electronic Thesis (CONTENTdm), 2010. http://worldcat.org/oclc/648974430/viewonline.
Full textКолпакова, Тетяна Олексіївна. "Методи, моделі та інформаційна технологія підтримки процесу вибору конкуруючих агентів." Thesis, Запорізький національний технічний університет, 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/27267.
Full textThe thesis for a candidate degree in technical sciences on the specialty 05.13.06 – Information Technologies. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2017. The purpose of the thesis – increasing of selection process effectiveness basing on methods, models and information technology of supporting the process of competing agents selecting. The object of research – the process of competing agents selecting. The subject of research – models, methods and information technology of competing agents selecting. New models, methods and information technology which provide support of the entire process of competing agents selecting and allow to improve the quality of decisions are developed. The model of the process of competing agents selecting, which represents decomposition of the process into a set of defined stages is proposed. The method of determining group ratings based on individual expert ratings for each decision which includes obtaining of individual ratings of experts comprising absolute and relative evaluation and takes into account coefficients of confidence in the evaluations provided by each participant is improved. The method of competing agents evaluating by a set of criteria that allows to rank the agents is improved. A method of optimizing the distribution of the order among competing agents which takes into account the relative importance of criteria is improved. An information technology which allows to automate the process competing agents selecting is developed. Experimental research on solving practical problems of competing agents selection was performed. The information system is implemented in enterprises and organizations.
Колпакова, Тетяна Олексіївна. "Методи, моделі та інформаційна технологія підтримки процесу вибору конкуруючих агентів." Thesis, НТУ "ХПІ", 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/27266.
Full textThe thesis for a candidate degree in technical sciences on the specialty 05.13.06 – Information Technologies. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2017. The purpose of the thesis – increasing of selection process effectiveness basing on methods, models and information technology of supporting the process of competing agents selecting. The object of research – the process of competing agents selecting. The subject of research – models, methods and information technology of competing agents selecting. New models, methods and information technology which provide support of the entire process of competing agents selecting and allow to improve the quality of decisions are developed. The model of the process of competing agents selecting, which represents decomposition of the process into a set of defined stages is proposed. The method of determining group ratings based on individual expert ratings for each decision which includes obtaining of individual ratings of experts comprising absolute and relative evaluation and takes into account coefficients of confidence in the evaluations provided by each participant is improved. The method of competing agents evaluating by a set of criteria that allows to rank the agents is improved. A method of optimizing the distribution of the order among competing agents which takes into account the relative importance of criteria is improved. An information technology which allows to automate the process competing agents selecting is developed. Experimental research on solving practical problems of competing agents selection was performed. The information system is implemented in enterprises and organizations.
Reece, Glen A. "Characterization and design of rational competent execution agents for use in dynamic environments." Thesis, University of Edinburgh, 1995. http://hdl.handle.net/1842/21482.
Full textSilver, Jim. "Replication-competent adenovirus 11p vector as a new oncolytic agent." Doctoral thesis, Umeå universitet, Virologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-50773.
Full textCarrigan, Christopher. "Structured to Fail? Explaining Regulatory Performance under Competing Mandates." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10213.
Full textO'Rourke, Elizabeth Ann. "On record - exploring social workers' attempts to reconcile competing agendas in the case record." Thesis, Oxford Brookes University, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.532051.
Full textMooney, Ryan E. "Guiding “Big Science:” Competing Agency of Scientists and Funding Organizations in American Cold War Research." Youngstown State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1444054145.
Full textBooks on the topic "Competing agents"
Mahon, Rianne. The OECD and the reconciliation agenda: Competing blueprints. Toronto, ON: Childcare Resource & Research Unit, University of Toronto, 2005.
Find full textW, Wright J. Competing trade agendas in the Arab-Israeli peace process. Abu Dhabi: Emirates Center for Strategic Studies and Research, 1998.
Find full textLauren, Hoffman, and Murray Lynn E, eds. School leaders building capacity from within: Resolving competing agendas creatively. Thousand Oaks, Calif: Corwin Press, 2005.
Find full textWaldfogel, Jane. What do we expect lone mothers to do?: Competing agendas for welfare reform in the United States. London: Suntory-Toyota International Centre for Economics and Related Disciplines, 1996.
Find full textOffice, General Accounting. Food aid: Competing goals and requirements hinder Title I program results : report to Congressional committees. Washington, D.C: The Office, 1995.
Find full textTurnbull, Penelope Anne. Germany, Britain and the instutionalisation of justice and home affairs co-operation and the European Union: Competing visions and common agendas. Birmingham: University of Birmingham, 2000.
Find full textBoyd, G. W. An assessment of the necessary interactions between the environment agency and other competent authorities in the determination and enforcement of I.P.C. authorisations at top-tier Cimah sites, using the oil refining industry sector as an example. Manchester: UMIST, 1996.
Find full textMcKenna, Michael. Power, Social Inequities, and the Conversational Theory of Moral Responsibility. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190609610.003.0002.
Full textRobillard, Michael. Fighting for One’s Self. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190495657.003.0006.
Full textÖztürk, Mustafa Bilgehan, Ahu Tatli, and Mustafa Özbilgin. Global Diversity Management. Edited by Regine Bendl, Inge Bleijenbergh, Elina Henttonen, and Albert J. Mills. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199679805.013.12.
Full textBook chapters on the topic "Competing agents"
Geldof, Sabine, and Walter Van de Velde. "Competing Software Agents Support Human Agents." In Collaboration between Human and Artificial Societies, 220–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/10703260_13.
Full textFerraioli, Diodato, Laurent Gourvès, Stefano Moretti, Fanny Pascual, and Olivier Spanjaard. "Combinatorial Optimization with Competing Agents." In Paradigms of Combinatorial Optimization, 675–706. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781119005353.ch21.
Full textEzra, Tomer, Michal Feldman, and Ron Kupfer. "Prophet Inequality with Competing Agents." In Algorithmic Game Theory, 112–23. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85947-3_8.
Full textAgnetis, Alessandro, Gaia Nicosia, Andrea Pacifici, and Ulrich Pferschy. "Two Agents Competing for a Shared Machine." In Algorithmic Decision Theory, 1–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41575-3_1.
Full textNicosia, Gaia, Andrea Pacifici, and Ulrich Pferschy. "Subset Weight Maximization with Two Competing Agents." In Algorithmic Decision Theory, 74–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04428-1_7.
Full textRegnier-Coudert, Olivier, and John McCall. "Competing Mutating Agents for Bayesian Network Structure Learning." In Lecture Notes in Computer Science, 216–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32937-1_22.
Full textRichmond, Paul. "Resolving Conflicts between Multiple Competing Agents in Parallel Simulations." In Lecture Notes in Computer Science, 383–94. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14325-5_33.
Full textDing, Guosheng, and Shijie Sun. "Single-Machine Scheduling Problems with Two Agents Competing for Makespan." In Lecture Notes in Computer Science, 244–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15621-2_28.
Full textKushal, Appilineni, V. Sasidevan, and Sitabhra Sinha. "Information Asymmetry and the Performance of Agents Competing for Limited Resources." In Econophysics and Sociophysics: Recent Progress and Future Directions, 113–23. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47705-3_8.
Full textBlom, S., J. Shreshta, N. Storch, J. Sonksen, and H. Hillmer. "Technology for a Highly Sensitive Sensor System Based on Competing Modes in Semiconductor Lasers." In Nanoscience Advances in CBRN Agents Detection, Information and Energy Security, 409–14. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9697-2_41.
Full textConference papers on the topic "Competing agents"
Yang, Yongjian, Yunqiang Yin, and Qian Shi. "Two competing agents with due date assignment scheduling under multitasking environment." In 2019 International Conference on Industrial Engineering and Systems Management (IESM). IEEE, 2019. http://dx.doi.org/10.1109/iesm45758.2019.8948203.
Full textJuttner, Matthias, Sebastian Grabmaier, Desiree Vogeli, Wolfgang M. Rucker, and Peter Gohner. "Coupled multiphysics problems as market place for competing autonomous software agents." In 2016 IEEE Conference on Electromagnetic Field Computation (CEFC). IEEE, 2016. http://dx.doi.org/10.1109/cefc.2016.7815942.
Full textJanen, Uwe, Jorg Hahner, and Christian Muller-Schloer. "PhD forum: Competing agents for distributed object-tracking in smart camera networks." In 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). IEEE, 2009. http://dx.doi.org/10.1109/icdsc.2009.5289395.
Full textLi, Zhuoshu, Neal Gupta, Sanmay Das, and John P. Dickerson. "Equilibrium Behavior in Competing Dynamic Matching Markets." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/54.
Full textJing Fan. "Notice of Retraction: Integrated production and delivery scheduling problem with two competing agents." In 2010 IEEE International Conference on Advanced Management Science (ICAMS). IEEE, 2010. http://dx.doi.org/10.1109/icams.2010.5552895.
Full textDivekar, Rahul R., Xiangyang Mou, Lisha Chen, Maíra Gatti de Bayser, Melina Alberio Guerra, and Hui Su. "Embodied Conversational AI Agents in a Multi-modal Multi-agent Competitive Dialogue." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/940.
Full textWang, Z., S. Azarm, and P. K. Kannan. "Strategic Product Design Decisions for Uncertain Market Systems Using an Agent Based Approach." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28778.
Full textDanassis, Panayiotis, Aris Filos-Ratsikas, and Boi Faltings. "Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/31.
Full textKerry, R., V. Findlay, J. Ambler, and B. J. Wallis. "EFFECT OF FIBRINOGEN RECEPTOR BLOCKERS ON HUMAN PLATELET AGGREGATION, ATP SECRETION AND THROMBOXANE B2 PRODUCTION." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643524.
Full textTrevizan, Felipe, Sylvie Thiebaux, Pedro Santana, and Brian Williams. "I-dual: Solving Constrained SSPs via Heuristic Search in the Dual Space." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/701.
Full textReports on the topic "Competing agents"
Katan, Jaacov, and Michael E. Stanghellini. Clinical (Major) and Subclinical (Minor) Root-Infecting Pathogens in Plant Growth Substrates, and Integrated Strategies for their Control. United States Department of Agriculture, October 1993. http://dx.doi.org/10.32747/1993.7568089.bard.
Full textTerzyan, Aram. Failed Europeanization? Belarus and Armenia Between Russia and the EU. Eurasia Institutes, November 2020. http://dx.doi.org/10.47669/eea-1-2020.
Full textMunoz, Laura, Giulia Mascagni, Wilson Prichard, and Fabrizio Santoro. Should Governments Tax Digital Financial Services? A Research Agenda to Understand Sector-Specific Taxes on DFS. Institute of Development Studies (IDS), February 2022. http://dx.doi.org/10.19088/ictd.2022.002.
Full textSalas, Humberto. Medición de la confianza empresarial: un enfoque regional desde la Araucanía. Universidad Autónoma de Chile, July 2020. http://dx.doi.org/10.32457/2050012728/975520193.
Full textKim, Hyeyoung, Jihyun Lee, and Gerardo Reyes-Tagle. Standardized PPP Contract in Korea and its Implications for Latin America and the Caribbean. Inter-American Development Bank, November 2021. http://dx.doi.org/10.18235/0003708.
Full text