Academic literature on the topic 'Agent attitude'
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Journal articles on the topic "Agent attitude"
Degond, Pierre, Amic Frouvelle, and Sara Merino-Aceituno. "A new flocking model through body attitude coordination." Mathematical Models and Methods in Applied Sciences 27, no. 06 (April 11, 2017): 1005–49. http://dx.doi.org/10.1142/s0218202517400085.
Full textGOYAL, MADHU. "ATTITUDE CYCLE FOR PROBLEM SOLVING TEAMS IN A DYNAMIC WORLD." International Journal on Artificial Intelligence Tools 13, no. 04 (December 2004): 945–59. http://dx.doi.org/10.1142/s0218213004001910.
Full textRidwan, Achmad Firdaus, and Mokhamad Yasid. "Sikap, Subyektif Normal, Dan Pengendalian Diri Untuk Terhadap Kinerja Agen Pemasaran Produk Hartal Mart." Al-Urban: Jurnal Ekonomi Syariah dan Filantropi Islam 3, no. 2 (December 29, 2019): 164–79. http://dx.doi.org/10.22236/alurban_vol3/is2pp164-179.
Full textPerelman, B. S., A. W. Evans, K. E. Schaefer, and S. G. Hill. "Attitudes Toward Risk and Effort Tradeoffs in Human-Robot Heterogeneous Team Operations." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1098–102. http://dx.doi.org/10.1177/1541931218621252.
Full textKITTO, KIRSTY, and FABIO BOSCHETTI. "ATTITUDES, IDEOLOGIES AND SELF-ORGANIZATION: INFORMATION LOAD MINIMIZATION IN MULTI-AGENT DECISION MAKING." Advances in Complex Systems 16, no. 02n03 (May 2013): 1350029. http://dx.doi.org/10.1142/s021952591350029x.
Full textOlson, Jonas. "The Personal and the Fitting." Journal of Moral Philosophy 11, no. 3 (May 2, 2014): 341–52. http://dx.doi.org/10.1163/17455243-01103001.
Full textYoung Oh, Eun, Donggil Song, and Hyeonmi Hong. "Interactive Computing Technology in Anti-Bullying Education: The Effects of Conversation-Bot’s Role on K-12 Students’ Attitude Change Toward Bullying Problems." Journal of Educational Computing Research 58, no. 1 (April 10, 2019): 200–219. http://dx.doi.org/10.1177/0735633119839177.
Full textWilkerson, Michelle Hoda. "Agents with Attitude: Exploring Coombs Unfolding Technique with Agent-Based Models." International Journal of Computers for Mathematical Learning 14, no. 1 (January 29, 2009): 51–60. http://dx.doi.org/10.1007/s10758-008-9142-6.
Full textIoannidis, Evangelos, Nikos Varsakelis, and Ioannis Antoniou. "Promoters versus Adversaries of Change: Agent-Based Modeling of Organizational Conflict in Co-Evolving Networks." Mathematics 8, no. 12 (December 17, 2020): 2235. http://dx.doi.org/10.3390/math8122235.
Full textDas, S., ME Haque, M. Rokonuzzaman, S. Saha, and SR Saha. "Attitude of Haor Farmers’ Towards Extension Services." Annals of Bangladesh Agriculture 25, no. 2 (December 4, 2022): 61–75. http://dx.doi.org/10.3329/aba.v25i2.62413.
Full textDissertations / Theses on the topic "Agent attitude"
Ravenet, Brian. "Modélisation de comportements non-verbaux et d'attitudes sociales dans la simulation de groupes conversationnels." Thesis, Paris, ENST, 2015. http://www.theses.fr/2015ENST0075/document.
Full textEmbodied Conversational Agents are virtual characters which main purpose is to interact with a human user. They are used in various domains such as personal assistance, social training or video games for instance. In order to improve their capabilities, it is possible to give them the ability to produce human-like behaviors. The users, even if they are aware that they interact with a machine, are still capable of analyzing and identifying social behaviors through the signals produced by these virtual characters. The research in Embodied Conversational Agents has focused for a long time on the reproduction and recognition of emotions by virtual characters and now the focus is on the ability to express different social attitudes. These attitudes show a behavioral style and are expressed through different modalities of the body, like the facial expressions, the gestures or the gazes for instance. We proposed a model that allows an agent to produce different nonverbal behaviors expressing different social attitudes in a conversation. The whole set of behaviors produced by our model allows a goup of agents animated by it to simulate a conversation, without any verbal content. Two evaluations of the model were conducted, one on the Internet and one in a Virtual Reality environment, to verify that the attitudes produced are well recognized
Thunberg, Johan. "Consensus and Pursuit-Evasion in Nonlinear Multi-Agent Systems." Doctoral thesis, KTH, Optimeringslära och systemteori, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143658.
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Dermouche, Soumia. "Leveraging the dynamics of non-verbal behaviors : modeling social attitude and engagement in human-agent interaction." Electronic Thesis or Diss., Sorbonne université, 2019. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2019SORUS271.pdf.
Full textSocial interaction implies exchange between two or more persons, where they adapt their behaviors to each others. With the growing interest in human-agent interactions, it is desirable to make these interactions natural and human like. In this context, we aimed at enhancing the quality of the interaction between users and Embodied Conversational Agents ECAs by (1) endowing the ECA with the capacity to express social attitudes, such as being friendly or dominant depending its role or relationship with its interaction partners; (2) adapting the agent's behavior according to the user's behavior, hence, the conversation partners influence each others through an interaction loop, thus, enhancing the interaction quality; (3) predicting the user's engagement level and adapting the agent's behavior accordingly. We take advantage of the recent advances in machine learning, more specifically, temporal sequence mining and neural networks to model these capacities in the ECA. The first model is used to learn relevant patterns (sequences) of non-verbal signals that best represent attitude variations, and then reproduce them on the agent. The latter is used to encompass the dynamics of non-verbal signals. Two use cases have been explored using the well-known LSTM model: agent's behavior adaptation based on both agent's and user's behavior history, and user's engagement prediction based on his/her own behavior history. The implemented models and algorithms have been validated through a number of perceptive studies as well as through rigorous quantitative analysis of the obtained results. In addition, the realized models have been integrated into a virtual-agent platform
Brousmiche, Kei-Léo. "Modélisation et simulation multi-agent de la formation et de la dynamique d’attitudes basées sur les croyances." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066623/document.
Full textWe study in this thesis the problem of social attitude formation and dynamics using multi agent simulation. The concept of attitude could be defined as a global evaluation of a social object, based on cognitive or affective information. Our works belongs to the field of social simulation which aims to reproduce in a virtual environment complex social phenomenon at a macroscopic level based on microscopic representations of individuals and their interactions. While existing approaches in this field rarely consider the results of studies in human sciences on the topic of attitude, we propose to follow a psychomimtic approach by micro-founding the cognitive model of our agents on human and social sciences' theories on individual's perception, inter-personal and media communication, belief revision, affective responses and the sentiment of unexpectedness. This model aims to reproduce at a microscopic level attitude dynamics toward actors who perpetuate actions witnessed by the individuals. We have proceeded to a functional analysis of the model's various components based on abstracts scenarios in order to study the capabilities of our model, and more precisely the describable phenomenon such as information diffusion, resistance to disinformation or the conformity process. The model has been applied in the context of French military operations of stabilisation in Afghanistan. The goal of this experience consists in reproducing opinion polls results of the locals toward the present Forces, collected during the intervention, based on a military scenario which has been recreated in partnership with officers who were in charge of operations between 2011 and 2012. Simulation results that follow a model calibration process show an error below 3 points of disparity compared to the real data. Finally, we propose a microscopic analysis of the results by applying automatic classification techniques on the simulated individuals in order to explain the multiple attitudes tendencies in the population
Pecune, Florian. "Modélisation de la prise de décision d'un agent conversationnel animé en fonction de son attitude sociale." Electronic Thesis or Diss., Paris, ENST, 2016. http://www.theses.fr/2016ENST0054.
Full textTo be perceived as believable partners in human-machine interactions, virtual agents have to express adequate social attitudes. The social attitude expressed by an agent should reflect the social situation of the interaction. The agent ought to take into account its role and its social relation toward its interactants when deciding how to react in the interaction. To build such an agent able to reason about its role and relation and to adapt its social attitude, we built a model of social decision making. First, we formalized the dynamics of the social relation through a combination of goals and beliefs. Then, we designed a decision making model based on the social goals and the situational goals of the agent. Finally, we conducted an empirical study in the context of virtual tutor-child interaction where participants evaluated the tutor’s perceived social attitude towards the child while the tutor’s social role and relation were manipulated by our model. Results showed that both role and social relation have an influence on the agent’s perceived social attitude
Davis, Jacob Foster. "Application of a Genetic Algorithm and Multi Agent System to explore emergent patterns of social rationality and a distress-based model for deceit in the workplace." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://handle.dtic.mil/100.2/ADA483642.
Full textThesis Advisor(s): Hiles, John ; Iatrou, Steven. "June 2008." Description based on title screen as viewed on August 25, 2008. Includes bibliographical references (p. 103-104). Also available in print.
Michieletto, Giulia. "Multi-Agent Systems in Smart Environments - from sensor networks to aerial platform formations." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3427273.
Full textNell’ultimo ventennio, i progressi nel campo della computazione pervasiva e dell’intelligenza ambientale hanno portato ad un rapido sviluppo di ambienti smart, dove più sistemi cyber-fisici sono chiamati ad interagire al fine di migliorare la vita umana. L’efficacia di un ambiente smart si basa pertanto sulla collaborazione di diverse entità vincolate a fornire prestazioni di alto livello in tempo reale. In quest’ottica, il ruolo dei sistemi multi-agente è evidente grazie alla capacità di queste architetture, che coinvolgono gruppi di dispositivi capaci di interagire tra loro, di risolvere compiti complessi sfruttando calcoli e comunicazioni locali. Sebbene tutti i sistemi multi-agenti si caratterizzino per scalabilità, robustezza e autonomia, queste architetture possono essere distinte in base alle proprietà degli elementi che le compongono. In questa tesi si considerano tre tipi di sistemi multi-agenti e per ciascuno di questi sono proposte soluzioni distribuite e innovative volte a risolvere problemi tipici per gli ambienti smart. Reti di Sensori Wireless - La prima parte della tesi è incentrata sullo sviluppo di efficaci strategie di clustering per le reti di sensori wireless impiegate in ambito industriale. Tenendo conto sia dei dati acquisiti che della topologia di rete, sono proposti due algoritmi (uno centralizzato e uno distribuito) volti a raggruppare i nodi in clusters locali non sovrapposti per migliorare le capacità di auto-organizzazione del sistema. Sistemi Multi-Camera - La seconda parte della tesi affronta il problema di videosorveglianza nel contesto di reti di sensori visivi intelligenti. In primo luogo, è considerata la stima di assetto che prevede la ricostruzione dell’orientamento di ogni agente appartenente al sistema rispetto ad un sistema globale inerziale. In seguito, è affrontato il problema di pattugliamento perimetrale, secondo il quale i confini di una certa area devono essere ripetutamente monitorati da un insieme di videocamere. Entrambe le problematiche sono trattate nell’ambito dell’ottimizzazione distribuita e risolte attraverso la minimizzazione iterativa di un’adeguata funzione costo. Formazioni di Piattaforme Aeree - La terza parte della tesi è dedicata alle piattaforme aeree autonome. Concentrandosi sul singolo veicolo, sono valutate due proprietà, ovvero la capacità di controllare indipendentemente la posizione e l’assetto e la robustezza rispetto alla perdita di un motore. Sono quindi descritti due controllori non lineari che mirano a mantenere una data piattaforma in hovering statico in posizione fissa con orien- tamento costante. Infine, l’attenzione è volta agli stormi di piattaforme aeree, studiando sia la stabilizzazione di una determinata formazione che il controllo del movimento lungo direzioni prefissate. A tal fine viene studiata la teoria della bearing rigidità per i sistemi che evolvono nello spazio speciale euclideo tri-dimensionale. La tesi evolve dunque dallo studio di sistemi multi-agenti fissi a totalmente attuati usati in applicazioni per ambienti smart in cui il numero di gradi di libertà da gestire è incrementale.
Huerta, Jose Manuel. "Attitudes of county Extension agents toward agent specialization in Ohio /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487846354481973.
Full textHuerta, Jose M. "Attitudes of county extension agents toward agent specialization in Ohio." Connect to resource, 1993. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1202155098.
Full textChapuis, Kevin. "Happywork : modélisation multi-agents de la satisfaction au travail." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066152/document.
Full textWe study in this thesis the subjective formation of job satisfaction and the impact of organization on employees satisfaction. First, we work on the modeling of psychological process of job satisfaction, defined as an attitude at work. Then, we propose a model to study the impact of work organization on work activity. Our research aims to study job satisfaction using an innovative methodological and theoretical approach in the domain of social simulation: based on major theories in the fields of organizational psychology and economy of well-being, our goal is to produce an agent-based model of the cognitive aspects of job satisfaction. Our purpose is to provide a theoretically as well as empirically grounded model of job satisfaction that fosters the understanding of organizational impact on employees' satisfaction. To do so, we tested our model on an ideal scenario of work conditions improvement policy. The results revealed that this policy do not systematically causes a global improvement on job satisfaction: agent's cognitive profil, that is a typical way to evaluate job satisfaction, have a great impact on policy outcomes. Next, we tested our model using a scenario based on a panel survey of work conditions conducted in a big french organization during 2013/14. We were able to reproduce declared individual levels of job satisfaction. Furthemore, in order to provide a more realistic representation of work improvement policy, we have also developed a work activity model. Firstly, we analyzed the impact of various work organizations on organizational performance, then we conducted an analysis of the impact of work activity on the formation of burnout episodes. This last study helped us to bring up the importance of work activity and organization on employees' well-being; the aim being eventually to propose a coupled model of work activity and job satisfaction
Books on the topic "Agent attitude"
McCallen, Brian. EFL agents and their attitudes: A sample study. (Manchester): British Council, 1991.
Find full textLarivière, Michel A. S. Attitudes des agents de correction fédéraux à l'égard des délinquants. [Ottawa]: Correctional Service Canada, Correctional Research and Development, 1996.
Find full textGaricano, Luis. Favoritism under social pressure. Cambridge, MA: National Bureau of Economic Research, 2001.
Find full textChristiana, Coggins, ed. A study of women's preferences regarding the formulation of over-the-counter vaginal spermicides. New York, NY (One Dag Hammarsjold Plaza, New York 10017 USA): Population Council, Robert H. Ebert Program on Critical Issues in Reproductive Health, 1998.
Find full textDavid, Giauque, ed. Motivations et valeurs des agents publics à l'épreuve des réformes. [Québec]: Presses de l'Université Laval, 2012.
Find full textM, Farr Robert, and Marková Ivana, eds. Representations of health, illness and handicap. Chur, Switzerland: Harwood Academic Publishers, 1995.
Find full textVellakkal, Sukumar. Adverse selection and private health insurance coverage in India: A rational behaviour model of insurance agents under asymmetric information. New Delhi: Indian Council for Research on International Economic Relations, 2009.
Find full textPopa, Stoica Cristinel. The Republic of Moldova between East and West: Vectors and agents of change that determine political attitudes (1991-2016). Târgovişte: Cetatea de Scaun, 2020.
Find full textGenerazioni precarie: Formazione e lavoro nella realtà dei call center. Pisa: ETS, 2011.
Find full text1944-, McInerney Peter, ed. From silent witnesses to active agents: Student voice in re-engaging with learning. New York: P. Lang, 2012.
Find full textBook chapters on the topic "Agent attitude"
Ahn, Jaesuk, David DeAngelis, and K. Suzanne Barber. "Teammate Selection Using Multi-dimensional Trust and Attitude Models." In Trust in Agent Societies, 1–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92803-4_1.
Full textRavenet, Brian, Angelo Cafaro, Magalie Ochs, and Catherine Pelachaud. "Interpersonal Attitude of a Speaking Agent in Simulated Group Conversations." In Intelligent Virtual Agents, 345–49. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09767-1_45.
Full textChen, Shiuann-Shuoh, Yu-Wei Chuang, and Pei-Yi Chen. "The Effects of Knowledge Management System Quality and Self-efficacy on Intention to Knowledge Sharing: The Mediate Role of Attitude." In Agent and Multi-Agent Systems: Technologies and Applications, 640–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22000-5_66.
Full textYue, Dong, Huaipin Zhang, and Shengxuan Weng. "Distributed Robust Attitude Containment Control for Multiple Rigid Body Sysems." In Distributed Cooperative Control and Communication for Multi-agent Systems, 127–48. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6718-0_7.
Full textYue, Dong, Huaipin Zhang, and Shengxuan Weng. "Distributed Event-Triggered Attitude Cooperative Control of Multiple Rigid Body Systems." In Distributed Cooperative Control and Communication for Multi-agent Systems, 109–26. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6718-0_6.
Full textPareto, Lena, Tobias Arvemo, Ylva Dahl, Magnus Haake, and Agneta Gulz. "A Teachable-Agent Arithmetic Game’s Effects on Mathematics Understanding, Attitude and Self-efficacy." In Lecture Notes in Computer Science, 247–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21869-9_33.
Full textvan Linder, B., W. van der Hoek, and J. J. Ch Meyer. "Formalising motivational attitudes of agents." In Intelligent Agents II Agent Theories, Architectures, and Languages, 17–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3540608052_56.
Full textCristani, Matteo, and Elisa Burato. "Modelling Social Attitudes of Agents." In Agent and Multi-Agent Systems: Technologies and Applications, 63–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72830-6_7.
Full textBoella, Guido, Rossana Damiano, Joris Hulstijn, and Leendert van der Torre. "ACL Semantics Between Social Commitments and Mental Attitudes." In Agent Communication II, 30–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-68143-4_3.
Full textErrico, Bruno. "Agents’ Dynamic Mental Attitudes." In Formal Models of Agents, 157–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-46581-2_11.
Full textConference papers on the topic "Agent attitude"
Yuasa, Masahide, Naoki Mukawa, Koji Kimura, Hiroko Tokunaga, and Hitoshi Terai. "An utterance attitude model in human-agent communication." In the 28th of the international conference extended abstracts. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1753846.1754079.
Full textLu, Maobin, and Lu Liu. "Attitude Consensus of Switched Networked Spacecraft Multi-Agent Systems." In 2018 IEEE 14th International Conference on Control and Automation (ICCA). IEEE, 2018. http://dx.doi.org/10.1109/icca.2018.8444347.
Full textAhn, Jaesuk, David DeAngelis, and Suzanne Barber. "Attitude Driven Team Formation using Multi-Dimensional Trust." In 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'07). IEEE, 2007. http://dx.doi.org/10.1109/iat.2007.77.
Full textvan Goor, Pieter, Zhiyong Sun, and Changbin Brad Yu. "Attitude synchronization control for multi-agent systems on unit quaternions." In 2017 11th Asian Control Conference (ASCC). IEEE, 2017. http://dx.doi.org/10.1109/ascc.2017.8287169.
Full textKomatsu, Takanori, and Seiji Yamada. "Effect of agent appearance on people's interpretation of agent's attitude." In Proceeding of the twenty-sixth annual CHI conference extended abstracts. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1358628.1358784.
Full textOgawa, Yuki, Kakuko Miyata, Hitoshi Yamamoto, and Kenichi Ikeda. "Association between Selective Exposure and Attitude on Twitter." In 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE, 2013. http://dx.doi.org/10.1109/wi-iat.2013.164.
Full textThunberg, Johan, Wenjun Song, and Xiaoming Hu. "Distributed attitude synchronization control of multi-agent systems with directed topologies." In 2012 10th World Congress on Intelligent Control and Automation (WCICA 2012). IEEE, 2012. http://dx.doi.org/10.1109/wcica.2012.6358017.
Full textLiu, Ya, Panfeng Huang, Fan Zhang, and Yakun Zhao. "Consensus for Multi-agent Systems in the Presence of Attitude Constraint*." In 2018 IEEE International Conference on Information and Automation (ICIA). IEEE, 2018. http://dx.doi.org/10.1109/icinfa.2018.8812560.
Full textSong, Wenjun, Johan Thunberg, Yiguang Hong, and Xiaoming Hu. "Distributed attitude synchronization control of multi-agent systems with time-varying topologies." In 2012 10th World Congress on Intelligent Control and Automation (WCICA 2012). IEEE, 2012. http://dx.doi.org/10.1109/wcica.2012.6358015.
Full textSong, Wenjun, and Yiguang Hong. "Distributed relative attitude formation control of multi-agent systems with directed topology." In 2013 IEEE 3rd Annual International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2013. http://dx.doi.org/10.1109/cyber.2013.6705411.
Full textReports on the topic "Agent attitude"
Davis, Kristin E., Lindie von Maltitz, Melanie de Bruyn, Johan van Niekerk, and Tsakani Ngomane, eds. South African extension agent competencies and attitudes for the future: Results of a survey. Washington, DC: International Food Policy Research Institute, 2021. http://dx.doi.org/10.2499/p15738coll2.134855.
Full textCavill, Sue, Chelsea Huggett, and Jose Mott. Engaging Men and Boys for Gender-Transformative WASH: Part 2, Frontiers of Sanitation. The Sanitation Learning Hub, Institute of Development Studies, July 2022. http://dx.doi.org/10.19088/slh.2022.004.
Full textvan Wagenberg, Coen, Diti Oudendag, Youri Dijkxhoorn, Christine Plaisier, Jim Groot, and Melanie Kok. How do trust, social norms and risk attitudes influence sustained adoption of interventions to reduce post-harvest losses?: application of an Agent-Based Model to the tomato value chain in Nigeria. Wageningen: Wageningen Economic Research, 2019. http://dx.doi.org/10.18174/477626.
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