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Artykuły w czasopismach na temat "Agents with influence"
Smith, Gaddis, i Pat Choate. "Agents of Influence". Foreign Affairs 70, nr 2 (1991): 184. http://dx.doi.org/10.2307/20044747.
Pełny tekst źródłaFrederick, R. "Agents of influence". Proceedings of the National Academy of Sciences 110, nr 10 (5.03.2013): 3703–5. http://dx.doi.org/10.1073/pnas.1302005110.
Pełny tekst źródłaIslabão Franco, Márcia Häfele, Antônio Carlos Da Rocha Costa i Helder Coelho. "EXCHANGE VALUES AND SOCIAL POWER SUPPORTING THE CHOICE OF PARTNERS". Revista Pueblos y fronteras digital 5, nr 9 (1.06.2010): 43. http://dx.doi.org/10.22201/cimsur.18704115e.2010.9.159.
Pełny tekst źródłaKarol, Meryl H. "How Environmental Agents Influence the Aging Process". Biomolecules and Therapeutics 17, nr 2 (30.04.2009): 113–24. http://dx.doi.org/10.4062/biomolther.2009.17.2.113.
Pełny tekst źródłaSuzuki, Kenichi, Akira Nagayama, Yuki Kato, Mitsuaki Suzuki, Ichiro Noge, Toru Okada, Yasunari Kurita, Katsunori Sano i Yasuhide Yosida. "Influence of Anticancer Agents on Nutritional Factors". Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences) 33, nr 3 (2007): 229–34. http://dx.doi.org/10.5649/jjphcs.33.229.
Pełny tekst źródłaCushman, W. "Does obesity influence response to antihypertensive agents?" American Journal of Hypertension 14, nr 11 (listopad 2001): A24. http://dx.doi.org/10.1016/s0895-7061(01)01368-1.
Pełny tekst źródłaMULLANEY, I., R. A. CLEGG, D. W. WEST, R. A. W. SMITH i B. MIDDLETON. "Influence of adrenergic agents on mammary tissue". Biochemical Society Transactions 15, nr 3 (1.06.1987): 494–95. http://dx.doi.org/10.1042/bst0150494.
Pełny tekst źródłaKim, Seungrok, i David E. Mainwaring. "Influence of Viscosity Modifying Agents onPinus radiataExtract". Holzforschung 50, nr 1 (styczeń 1996): 42–48. http://dx.doi.org/10.1515/hfsg.1996.50.1.42.
Pełny tekst źródłaPiątkowska, Elżbieta, i Jolanta Rusiecka - Ziółkowska. "Influence of Essential Oils on Infectious Agents". Advances in Clinical and Experimental Medicine 25, nr 5 (2016): 989–95. http://dx.doi.org/10.17219/acem/31287.
Pełny tekst źródłaPandey, K. N., K. K. Debnath, P. T. Rajagopalan, D. K. Setua i G. N. Mathur. "Thermal analysis on influence of compatibilizing agents". Journal of thermal analysis 49, nr 1 (lipiec 1997): 281–92. http://dx.doi.org/10.1007/bf01987449.
Pełny tekst źródłaRozprawy doktorskie na temat "Agents with influence"
Vedanarayanan, Srinivasa Raghavan. "Agents of Influence in Social Networks". University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342464356.
Pełny tekst źródłaGilani, Syed Zafar ul Hussan. "Understanding the behaviour and influence of automated social agents". Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/279022.
Pełny tekst źródłaMelkersson, Kristina. "Influence of antipsychotic drugs on hormone levels /". Stockholm, 2000. http://diss.kib.ki.se/2000/91-628-4089-4/.
Pełny tekst źródłaTörnberg, Daniel C. F. "Exhaled nitric oxide : influence of mechanical ventilation and vasoactive agents /". Stockholm, 2004. http://diss.kib.ki.se/2004/91-7140-070-2/.
Pełny tekst źródłaDURAN, VICTOR HUGO BLANCO. "INFLUENCE OF STUBBORN AGENTS IN A MODEL OF OPINION FORMATION". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=23910@1.
Pełny tekst źródłaCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Os modelos matemáticos de formação de opiniões vêm sendo estudados pelos físicos principalmente desde os anos 80 e atualmente fazem parte do novo ramo conhecido como Sociofísica. Esta área de pesquisa recente utiliza ferramentas e conceitos da física estatística e computacional. Os modelos deste tipo têm dado bons resultados para descrever certos aspectos do comportamento social e político, como a formação de opiniões, adoção de novas tecnologias ou atitudes extremas, que apresentam uma fenomenologia, a exemplo das transições ordem-desordem, análoga a alguns sistemas físicos. Dentro desse cenário, enquadra-se a presente dissertação, em que estudamos um modelo de formação de opiniões que pode ser associado a qualquer debate público com três opções (sim, não, indecisos). Consideramos uma população de indivíduos (ou agentes) totalmente conectados, que podem estar em três estados diferentes. As interações ocorrem aos pares e são competitivas, sendo negativas com probabilidade p ou positivas com probabilidade 1-p. Esta distribuição bimodal das interações produz um comportamento semelhante ao que resulta da introdução de contrários (no sentido de Galam) na população. Além disso, considera-se que uma certa fração d dos indivíduos são intransigentes ou obstinados, usualmente chamados de inflexíveis em dinâmica de opiniões, que conservam suas opiniões. Estudamos o impacto da concorrência entre contrários e inflexíveis sobre a opinião global, por meio de simulações computacionais. Os nossos resultados mostram que a presença de inflexíveis afeta o comportamento crítico da população só se tal desordem é temperada (em inglês quenched), ou seja, se os intransigentes não alteram as suas convicções com o tempo. Por outro lado, na versão recozida (em inglês annealed) do modelo, em que os inflexíveis são escolhidos em cada intervalo de tempo (isto é, a inflexibilidade é ocasional), a transição de fase de não-equilíbrio que ocorre na ausência de inflexveis permanece inalterada. Discutimos também a relevância do modelo para os sistemas sociais reais.
Mathematical models of opinion formation have been studied by physicists mainly since the 80s and are now part of the new branch known as Sociophysics. This recent area of research borrows tools and concepts from statistical physics. Models of this kind are providing good results to describe certain aspects of the social and political behavior, such as the formation of opinions, adoption of new technologies or extreme attitudes, that present a phenomenology, e.g., order-disorder transitions, analogous to some physical systems. Within this scenario, fits this thesis. We study a model of opinions that can be associated to any public debate with three options (yes, no, undecided). We consider a fully connected population of individuals (or agents), which can be in three different states. Interactions occur by pairs and are competitive, being negative with probability p or positive with probability 1-p. This bimodal distribution of interactions produces a behavior similar to that resulting from the introduction of contrarians (in the sense of Galam) in the population. Furthermore, we consider that a certain fraction d of individuals are intransigent or stubborn, usally called inflexibles in opinion dynamics. These individuals keep their opinions unchanged. By means of computer simulations, we study the impact of competition between contrarians and inflexibles on the formation of the majority opinion. Our results show that the presence of inflexibles affects the critical behavior of the population only if such condition is quenched, that is, if the intransigents not change their beliefs with time. On the other hand, in the annealed version of the model, where the inflexibles are chosen at each time interval (that is, stubborness is occasional), the nonequilibrium phase transition which occurs in the absence of inflexibles is not affected. We also discuss the relevance of the model to real social systems.
Becerril, Diez Azucena. "Influence of chelating agents on proteolysis of micellar casein slurries". DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1635.
Pełny tekst źródłaHarte, Rachel A. "Influence of membrane environment and pharmacological agents on acyl CoA:cholesterol acyltransferase". Thesis, University of Newcastle Upon Tyne, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386935.
Pełny tekst źródłaHuart, Pascal. "Influence de l'interaction lipides-agents antimiotiques sur l'activité des enzymes mitochondriaux". Doctoral thesis, Universite Libre de Bruxelles, 1990. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/213124.
Pełny tekst źródłaRoediger, Micah. "Evaluating the Impact of Training on the Effectiveness of Peer Change Agents: A Campus-wide Intervention". Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/76820.
Pełny tekst źródłaMaster of Science
Hardika, Ryan C. "Influence of chlorine concentration on the effectiveness of Cleaning-in-Place Agents". The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587049313594841.
Pełny tekst źródłaKsiążki na temat "Agents with influence"
Ploubidou, Aspasia. Influence of anti-microtubule agents on cell morphogensis in Trypanosoma Brucei. Manchester: University of Manchester, 1993.
Znajdź pełny tekst źródłaAgents of influence: HowJapanese lobbyists are manipulating Western political and economic systems. London: Business Books, 1990.
Znajdź pełny tekst źródłaSnowden, John M. Alternative sharpening agents and the influence of animal age on the properties of Merino leather: Investigation of alternative sharpening agents. [Perth, W.A.]: Dept. of Agriculture, Western Australia, 1994.
Znajdź pełny tekst źródłaGower, Deborah Elizabeth. The influence of anaesthetic agents on cell migration in vivo and in vitro. Salford: University of Salford, 1989.
Znajdź pełny tekst źródłaBrogan, Chris. Trust agents: Using the web to build influence, improve reputation, and earn trust. Hoboken, N.J: John Wiley & Sons, 2009.
Znajdź pełny tekst źródłaBrogan, Chris. Trust agents: Using the web to build influence, improve reputation, and earn trust. Hoboken, N.J: John Wiley, 2010.
Znajdź pełny tekst źródłaCzęści książek na temat "Agents with influence"
Mosler, Hans-Joachim, i Wernher Brucks. "Social Influence among Agents". W Cooperative Agents, 125–47. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-1177-7_8.
Pełny tekst źródłaMaley, William. "Agents of influence". W Diplomacy, Communication, and Peace, 63–76. New York : Routledge, 2021. |: Routledge, 2020. http://dx.doi.org/10.4324/9781003006947-6.
Pełny tekst źródłade Sevin, Etienne, Sylwia Julia Hyniewska i Catherine Pelachaud. "Influence of Personality Traits on Backchannel Selection". W Intelligent Virtual Agents, 187–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15892-6_20.
Pełny tekst źródłaKaptein, Frank, i Joost Broekens. "The Affective Storyteller: Using Character Emotion to Influence Narrative Generation". W Intelligent Virtual Agents, 352–55. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21996-7_38.
Pełny tekst źródłater Maat, Mark, Khiet P. Truong i Dirk Heylen. "How Turn-Taking Strategies Influence Users’ Impressions of an Agent". W Intelligent Virtual Agents, 441–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15892-6_48.
Pełny tekst źródłaWang, Yingying, i Michael Neff. "The Influence of Prosody on the Requirements for Gesture-Text Alignment". W Intelligent Virtual Agents, 180–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40415-3_16.
Pełny tekst źródłaLeonardo, António, António Brisson i Ana Paiva. "Influence of Music and Sounds in an Agent-Based Storytelling Environment". W Intelligent Virtual Agents, 523–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04380-2_73.
Pełny tekst źródłade Melo, Celso M., Peter Carnevale i Jonathan Gratch. "The Influence of Emotions in Embodied Agents on Human Decision-Making". W Intelligent Virtual Agents, 357–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15892-6_38.
Pełny tekst źródłaDerrick, Douglas C., i Joel S. Elson. "Automated Leadership: Influence from Embodied Agents". W HCI in Business, Government, and Organizations, 51–66. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91716-0_5.
Pełny tekst źródłaOzkan, Derya, i Louis-Philippe Morency. "Prediction of Visual Backchannels in the Absence of Visual Context Using Mutual Influence". W Intelligent Virtual Agents, 189–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40415-3_17.
Pełny tekst źródłaStreszczenia konferencji na temat "Agents with influence"
Rozenshtein, Chen, i David Sarne. "Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction". W Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/215.
Pełny tekst źródłaRozenshtein, Chen, i David Sarne. "Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction". W Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/216.
Pełny tekst źródłaYang, Fang, Hui Wang, Yanni Tang, Jiamou Liu i Wu Chen. "A consensus value approach for influence maximization in social networks". W 2017 IEEE International Conference on Agents (ICA). IEEE, 2017. http://dx.doi.org/10.1109/agents.2017.8015292.
Pełny tekst źródłaNakanishi, Hideyuki, Satoshi Nakazawa, Toru Ishida, Katsuya Takanashi i Katherine Isbister. "Can software agents influence human relations?" W the second international joint conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/860575.860691.
Pełny tekst źródłaLi, Weihua, Quan Bai i Minjie Zhang. "Agent-Based Influence Propagation in Social Networks". W 2016 IEEE International Conference on Agents (ICA). IEEE, 2016. http://dx.doi.org/10.1109/ica.2016.021.
Pełny tekst źródłaRudolph, Stefan, Sven Tomforde i Jörg Hähner. "A Mutual Influence-based Learning Algorithm". W 8th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005697001810189.
Pełny tekst źródłaPan, Yinghui, Yingke Chen, Jing Tang i Yifeng Zeng. "Interactive Dynamic Influence Diagrams for Relational Agents". W 2015 IEEE / WIC / ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). IEEE, 2015. http://dx.doi.org/10.1109/wi-iat.2015.118.
Pełny tekst źródłaHeyn, Johannes, i Christian Bonten. "Influence of coupling agents on blend properties". W PROCEEDINGS OF THE 35TH INTERNATIONAL CONFERENCE OF THE POLYMER PROCESSING SOCIETY (PPS-35). AIP Publishing, 2020. http://dx.doi.org/10.1063/1.5142939.
Pełny tekst źródłaCorreia, Luís, Sofia Silva i Ana Cristina B. Garcia. "Detecting Influence in Wisdom of the Crowds". W 10th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006551200170024.
Pełny tekst źródłaJelínek, Jiří. "Modeling of Emotional Influence in Multiagent System". W 11th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007363701540161.
Pełny tekst źródłaRaporty organizacyjne na temat "Agents with influence"
Devine, Joshua W. Migraine Preventive Treatment and Its Influence on the Change in Therapeutic Intensity with Disease-Specific Abortive Agents. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2006. http://dx.doi.org/10.21236/ada442873.
Pełny tekst źródłaAruguete, Natalia, Ernesto Calvo, Carlos Scartascini i Tiago Ventura. Trustful Voters, Trustworthy Politicians: A Survey Experiment on the Influence of Social Media in Politics. Inter-American Development Bank, lipiec 2021. http://dx.doi.org/10.18235/0003389.
Pełny tekst źródłaLin, Haizhen, Ian McCarthy i Michael Richards. Owning the Agent: Hospital Influence on Physician Behaviors. Cambridge, MA: National Bureau of Economic Research, maj 2021. http://dx.doi.org/10.3386/w28859.
Pełny tekst źródłaNathan, Harms, i Cronin James. Variability in weed biological control : effects of foliar nitrogen on larval development and dispersal of the alligatorweed flea beetle, Agasicles hygrophila. Engineer Research and Development Center (U.S.), wrzesień 2021. http://dx.doi.org/10.21079/11681/41886.
Pełny tekst źródłaMoghadam-Saman, Saeed. How do mechanisms’ ‘tendency’ within critical realism influence our understanding of structure-agency relations? Center for Higher Education Policy Studies, 2019. http://dx.doi.org/10.3990/4.2535-5686.2019.05.
Pełny tekst źródłaFindlay, Trevor. The Role of International Organizations in WMD Compliance and Enforcement: Autonomy, Agency, and Influence. The United Nations Institute for Disarmament Research, grudzień 2020. http://dx.doi.org/10.37559/wmd/20/wmdce9.
Pełny tekst źródłaDyakova, Lora, Tanya Zhivkova, Rossen Spasov, Reni Kalfin i Radostina Alexandrova. Disulfiram as a New Potential Anticancer Agent – Influence on Viability and Proliferation of Virus-transformed Tumour Cells. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, grudzień 2019. http://dx.doi.org/10.7546/crabs.2019.11.14.
Pełny tekst źródłaCarl, Marla L. Think Tank Agenda Setting: The Influence of the Council on Foreign Relations on Elections, the New Administration's Transition Agenda, and Beyond. A Case Study. Fort Belvoir, VA: Defense Technical Information Center, maj 2005. http://dx.doi.org/10.21236/ada477366.
Pełny tekst źródłaJohnson, Mark, John Wachen i Steven McGee. Entrepreneurship, Federalism, and Chicago: Setting the Computer Science Agenda at the Local and National Levels. The Learning Partnership, kwiecień 2020. http://dx.doi.org/10.51420/conf.2020.1.
Pełny tekst źródłaMosha, Devotha B., John Jeckoniah, Aida Isinika i Gideon Boniface. The Influence of Sunflower Commercialisation and Diversity on Women's Empowerment: The Case of Iramba and Mkalama Districts, Singida Region. Institute of Development Studies (IDS), czerwiec 2021. http://dx.doi.org/10.19088/apra.2021.014.
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