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Статті в журналах з теми "Artificial Social Agents"
Holtgraves, T. M., S. J. Ross, C. R. Weywadt, and T. L. Han. "Perceiving artificial social agents." Computers in Human Behavior 23, no. 5 (September 2007): 2163–74. http://dx.doi.org/10.1016/j.chb.2006.02.017.
Повний текст джерелаWiese, Eva, Tyler Shaw, Daniel Lofaro, and Carryl Baldwin. "Designing Artificial Agents as Social Companions." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1604–8. http://dx.doi.org/10.1177/1541931213601764.
Повний текст джерелаChaminade, Thierry, and Jessica K. Hodgins. "Artificial agents in social cognitive sciences." Interaction Studies 7, no. 3 (November 13, 2006): 347–53. http://dx.doi.org/10.1075/is.7.3.07cha.
Повний текст джерелаWykowska, Agnieszka, Thierry Chaminade, and Gordon Cheng. "Embodied artificial agents for understanding human social cognition." Philosophical Transactions of the Royal Society B: Biological Sciences 371, no. 1693 (May 5, 2016): 20150375. http://dx.doi.org/10.1098/rstb.2015.0375.
Повний текст джерелаNakanishi, Hideyuki, Shinya Shimizu, and Katherine Isbister. "SENSITIZING SOCIAL AGENTS FOR VIRTUAL TRAINING." Applied Artificial Intelligence 19, no. 3-4 (March 9, 2005): 341–61. http://dx.doi.org/10.1080/08839510590910192.
Повний текст джерелаXia, Zheng You, and Chen Ling Gu. "The Role of Belief in the Emergence of Social Conventions in Artificial Social System." Advanced Materials Research 159 (December 2010): 210–15. http://dx.doi.org/10.4028/www.scientific.net/amr.159.210.
Повний текст джерелаPana, Laura. "Artificial Ethics." International Journal of Technoethics 3, no. 3 (July 2012): 1–20. http://dx.doi.org/10.4018/jte.2012070101.
Повний текст джерелаPayr, Sabine. "SOCIAL ENGAGEMENT WITH ROBOTS AND AGENTS: INTRODUCTION." Applied Artificial Intelligence 25, no. 6 (July 2011): 441–44. http://dx.doi.org/10.1080/08839514.2011.586616.
Повний текст джерелаComan, Alexandra, and David W. Aha. "AI Rebel Agents." AI Magazine 39, no. 3 (September 28, 2018): 16–26. http://dx.doi.org/10.1609/aimag.v39i3.2762.
Повний текст джерелаTnennenholtz, Moshe. "On Social Constraints for Rational Agents." Computational Intelligence 15, no. 4 (November 1999): 367–83. http://dx.doi.org/10.1111/0824-7935.00098.
Повний текст джерелаДисертації з теми "Artificial Social Agents"
Hogg, Lisa Marie Jean. "Control of social reasoning in resource bounded agents." Thesis, Queen Mary, University of London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251682.
Повний текст джерелаde, Greeff Joachim. "Interactive concept acquisition for embodied artificial agents." Thesis, University of Plymouth, 2013. http://hdl.handle.net/10026.1/1587.
Повний текст джерелаCasali, Ana. "On intentional and social agents with graded attitudes." Doctoral thesis, Universitat de Girona, 2008. http://hdl.handle.net/10803/7748.
Повний текст джерелаsobre las creencias, deseos e intenciones, presentando en cada caso una axiomática completa y consistente. Para tratar con la semántica operacional del modelo de agente, primero se definió un calculus para la ejecución de sistemas multi-contextos, denominado Multi-context calculus. Luego, mediante este calculus se le ha dado al modelo g-BDI semántica computacional. Por otra parte, se ha presentado una metodología para la ingeniería de agentes g-BDI en un escenario multiagente. El objeto de esta propuesta es guiar el diseño de sistemas multiagentes, a partir de un problema del mundo real. Por medio del desarrollo de un sistema recomendador en turismo como caso de estudio, donde el agente recomendador tiene una arquitectura g-BDI, se ha mostrado que este modelo es valioso para diseñar e implementar agentes concretos. Finalmente, usando este caso de estudio se ha realizado una experimentación sobre la flexibilidad y performance del modelo de agente g-BDI, demostrando que es útil para desarrollar agentes que manifiesten conductas diversas. También se ha mostrado que los resultados obtenidos con estos agentes recomendadores modelizados con actitudes graduadas, son mejores que aquellos alcanzados por los agentes con actitudes no-graduadas.
The central contribution of this dissertation is the proposal of a graded BDI agent model (g-BDI), specifying an architecture capable of representing and reasoning with graded mental attitudes. We consider that making the BDI architecture more exible will allow us to design and develop agents capable of improved performance in uncertain and dynamic environments, serving other agents (human or not) that may have a set of graded motivations.
In the g-BDI model, the agent graded attitudes have an explicit and suitable representation. Belief degrees represent the extent to which the agent believes a formula to be true. Degrees of positive or negative desires allow the agent to set di_erent levels of preference or rejection respectively. Intention degrees also give a preference measure but, in this case, modelling the cost/benefit trade off of achieving an agent's goal. Then, agents having different kinds of behaviour can be modelled on the basis of the representation and interaction of their graded attitudes. The formalization of the g-BDI agent model is based on Multi-context systems and in order to represent and reason about the beliefs, desires and intentions, we followed a many-valued modal approach. Also, a sound and complete axiomatics for representing each graded attitude is proposed. Besides, in order to cope with the operational semantics aspects of the g-BDI agent model, we first defined a Multi-context calculus for Multi-context systems execution and then, using this calculus we give this agent model computational meaning.
Furthermore, a software engineering process to develop graded BDI agents in a multiagent scenario is presented. The aim of the proposed methodology is to guide the design of a multiagent system starting from a real world problem. Through the development of a Tourism recommender system, where one of its principal agents is modelled as a g-BDI agent, we show that the model is useful to design and implement concrete agents.
Finally, using the case study we have made some experiments concerning the exibility and performance of the g-BDI agent model, demonstrating that this agent model is useful to develop agents showing varied and rich behaviours. We also show that the results obtained by these particular recommender agents using graded attitudes improve those achieved by agents using non-graded attitudes.
Magalhaes, Martins Joao Pedro. "Emergent rhythmic structures as cultural phenomena driven by social pressure in a society of artificial agents." Thesis, University of Plymouth, 2012. http://hdl.handle.net/10026.1/1185.
Повний текст джерелаMonteiro, Júlio de Lima do Rêgo. "Simulação de parcerias entre agentes: uma extensão do sistema PART-NET." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-28022005-002806/.
Повний текст джерелаThe purpose of this work is the development of a multiagent based simulation tool to account partnership formation among multiple agents. In order to achieve that, the PART-NET [CONTE98] system was adopted as a base. This system calculates the partnership formation of pairs of agents, and was altered according to the proposed objective. In this manner, the work was divided in two stages. In the first, the original system was redesigned using the Java language, bringing operational improvements to the predecessor, such as user interface enhancement and graphical display of the results. This intermediary system was named PartNET+. The second stage promotes new functionality to this intermediary system, adding plans to its agent architecture to allow new kinds of partnerships. A new algorithm for multiple agents partnership formation was developed based on hipergraphs, and the final system that handles this enhanced partnership formation was called PartNET++
Kumar, Rohit. "Socially Capable Conversational Agents for Multi-Party Interactive Situations." Research Showcase @ CMU, 2011. http://repository.cmu.edu/dissertations/162.
Повний текст джерелаSantos, Fernão Reges dos. "Comunidades virtuais baseadas em vídeo digital: uma proposta de conteúdo adaptativo pautada em redes de aprendizagem e agentes inteligentes." Universidade Presbiteriana Mackenzie, 2010. http://tede.mackenzie.br/jspui/handle/tede/1514.
Повний текст джерелаWith the increasing number of participants to internet social network based systems, which uses several computer mediated communication resources like chat, instant messaging, hypertext links to videos and several objects available to facilitate the interaction between users, new frontiers emerges to apply this concepts on educational environment with collaborative forms. This work researches the applicability of Artificial Intelligence models combined with Social Network systems through use of Intelligent Agents. Initially the combination of Intelligent Agents and Social Networks proposal uses Multiagent based kernel acting to analyze and mediate the interaction process over social network.. Considering this perspective and to try stimulate the interactive user process on social network, this work brings the possibility of integrating the main kernel with a social network based on platforms using digital video, like Internet and Digital TV. Using educational content operating with a external module working as Intelligent Tutoring System which provides instructional units to be used with interactive and collaborative forms by participants, resulting a distance and collaborative learning tool. The main target for this tool combining Intelligent Agents and Social Networks, intends to provide a context where educators can research new educational strategies, interactive and collaborative perspectives.
Com o crescente número de usuários de sistemas redes sociais baseadas em Internet, cresce também a integração desses sistemas com diversos recursos de comunicação mediada por computador como serviços de comunicação instantânea e sistemas de bate-papo, vínculos hipertextuais para vídeos, arquivos de áudio e outros objetos que podem ser utilizados como facilitadores do processo interativo e de distribuição de conteúdo nas redes sociais. Nesse cenário, surgem novas possibilidades de aplicação desse tipo de ambiente de forma educacional e colaborativa. A partir desse cenário, esta dissertação aborda a aplicação de modelos de Inteligência Artificial em Sistemas de Redes Sociais por meio da utilização de Agentes Inteligentes. O objetivo da composição de Redes Sociais e Agentes Inteligentes para essa ferramenta é disponibilizar um ambiente em que possam ser investigadas as diferentes possibilidades de estratégias pedagógicas que podem aplicadas nesse novo ambiente de interação e colaboração social. De forma experimental, essa combinação entre Agentes Inteligentes e Sistemas de Redes Sociais foi proposta por meio de um modelo de sistema Multiagente, que atua como núcleo intermediador e analítico do processo interativo que ocorre na rede. Considerando essa perspectiva, e para estímulo do processo interativo entre os usuários da rede, foi estabelecida a integração desse núcleo a uma rede social que opera em plataformas de distribuição de vídeos digitais, como Internet e TV Digital Interativa, utilizando conteúdo educativo que, operando em conjunto com um módulo tutor inteligente, disponibiliza atividades para serem realizadas de forma interativa entre os participantes, resultando em uma ferramenta de Educação a Distância e aprendizado colaborativo.
Novaro, Arianna. "Collective decision-making with goals." Thesis, Toulouse 3, 2019. http://www.theses.fr/2019TOU30179.
Повний текст джерелаAgents having to take a collective decision are often motivated by individual goals. In such scenarios, two key aspects need to be addressed. The first is defining how to select a winning alternative from the expressions of the agents. The second is making sure that agents will not manipulate the outcome. Agents should also be able to state their goals in a way that is expressive, yet not too burdensome. This dissertation studies the aggregation and the strategic component of multi-agent collective decisions where the agents use a compactly represented language. The languages we study are all related to logic: from propositional logic, to generalized CP-nets and linear temporal logic (LTL). Our main contribution is the introduction of the framework of goal-based voting, where agents submit individual goals expressed as formulas of propositional logic. Classical aggregation functions from voting, judgment aggregation, and belief merging are adapted to this setting and studied axiomatically and computationally. Desirable axiomatic properties known in the literature of social choice theory are generalized to this new type of propositional input, as well as the standard complexity problems aimed at determining the result. Another important contribution is the study of the aggregation of generalized CP-nets coming from multiple agents, i.e., CP-nets where the precondition of the preference statement is a propositional formula. We use different aggregators to obtain a collective ordering of the possible outcomes. Thanks to this thesis, two lines of research are thus bridged: the one on the aggregation of complete CP-nets, and the one on the generalization of CP-nets to incomplete preconditions. We also contribute to the study of strategic behavior in both collective decision-making and game-theoretic settings. The framework of goal-based voting is studied again under the assumption that agents can now decide to submit an untruthful goal if by doing so they can get a better outcome. The focus is on three majoritarian voting rules which are found to be manipulable. Therefore, we study restrictions on both the language of the goals and on the strategies allowed to the agents to discover islands of strategy-proofness. We also present a game-theoretic extension of a recent model of opinion diffusion over networks of influence. In the influence games defined here, agents hold goals expressed as formulas of LTL and they can choose whether to use their influence power to make sure that their goal is satisfied. Classical solution concepts such as weak dominance and winning strategy are studied for influence games, in relation to the structure of the network and the goals of the agents. Finally, we introduce a novel class of concurrent game structures (CGS) in which agents can have shared control over a set of propositional variables. Such structures are used for the interpretation of formulas of alternating-time temporal logic, thanks to which we can express the existence of a winning strategy for an agent in a repeated game (as, for instance, the influence games mentioned above). The main result shows by means of a clever construction that a CGS with shared control can be represented as a CGS with exclusive control. In conclusion, this thesis provides a valuable contribution to the field of collective decision-making by introducing a novel framework of voting based on individual propositional goals, it studies for the first time the aggregation of generalized CP-nets, it extends a framework of opinion diffusion by modelling rational agents who use their influence power as they see fit, and it provides a reduction of shared to exclusive control in CGS for the interpretation of logics of strategic reasoning. By using different logical languages, agents can thus express their goals and preferences over the decision to be taken, and desirable properties of the decision process can be ensured
Boucaud, Fabien. "Un agent touchant : modélisation du toucher social dans les interactions humain-agent en environnement immersif." Thesis, Compiègne, 2021. http://www.theses.fr/2021COMP2666.
Повний текст джерелаDespite the current abilities of our communication technologies, they remain unable to completely counterbalance feelings of isolation and loneliness. Social touch is essential to human well-being and allows us to develop and strenghten our relationships. It is also powerful channel of emotional communication. This thesis work is aimed at endowing artificial agents with social touch abilities. Whether they are robotic or virtual artificial agents represent new kinds of social entities and are already equipped with many interactional modalities (speech, gestures, facial expressions, etc.). Endowing them with touching abilities could further enhance their abilities to communicate emotions and to bond with humans. More specifically, our main research question is to determine when and how to touch a human is meaningful, autonomous and respectful way. To answer this question, we propose a theoretical structure and a functional implementation of a touching agent, able to dynamically interact with a human in real-time in an immersive environment. We describe a perception module to detect the human’s behaviour, a decision model able to take coherence and acceptability of touch into account, and a haptic interface (SOFTLY) that can be used in the immersive setup to generate haptic feedback. Evaluations of this framework are discussed and hightlight that its abilities are promising, althought there are still clear avenues of improvement for the model
Nakamiti, Eduardo Kiochi. "Agentes inteligentes artificiais." Pontifícia Universidade Católica de São Paulo, 2009. https://tede2.pucsp.br/handle/handle/5240.
Повний текст джерелаThe diffusion of Artificial Intelligent Agents, superficially considered as elements that have independent thinking and whose decisions influence processes in the everyday human reality increasingly known, especially in electronic media, the users of banking services, on access to telephone service in our home appliances and entertainment. Its presence is sometimes felt by the ease of access to resources often so powerful and sometimes so unnoticed. It can be perceived in a negative way, when access to electronic banking services is denied without explanation. Much of learning today, relies on Internet and getting information online without the help of search engines is disappointing. Today, these mechanisms offer more than simply the result of a search. They seem to have the intelligence to offer suggestions in relation to our interest. This form of communication that are incorporating to their customs, is strongly influenced by known agents, in computer systems. In this work, we will make a history of its appearance, and technological innovations and cultural, primarily focusing on the first Artificial Intelligence in order to built a clear, detailed view of the Artificial Intelligent Agents, at present, and to establish a hypothetical path for future developments. The methodological basis of work is based on the complexity of the issue addressed. Such complexity refers to tools and distinct views, dynamic and interactive, pointing to the computer and its various aspects, the artificial intelligence and its tools, the cyber arena of interdisciplinarity as the first and, to the environment and the semiotic analysis tool of the production and mediation of knowledge and theories of complexity. The corpus of the analysis and interpretation are circumscribed to the phenomenon of Artificial Intelligent Agents of nowadays and of the future, but for both, and according to the methodology adopted, the fields of knowledge are inspected more in the expectation of higher fidelity description. The main conclusion is the remarkable trend of spraying and increasing invisibility of Artificial Intelligent Agents, as elements of support in decision making and control of the environment and the information we received
A explosão dos Agentes Inteligentes Artificiais, considerados superficialmente como elementos que apresentam raciocínio autônomo e cujas decisões influem processos, é uma realidade cada vez mais sentida no cotidiano dos seres humanos , principalmente nos meios de comunicação eletrônicos, entre usuários de serviços bancários, em acessos a serviços telefônicos, nos eletrodomésticos e em nossos entretenimentos. Sua presença é sentida às vezes pela facilidade de acesso a recursos muitas vezes de forma poderosa ou outras vezes de forma discreta. Também pode ser sentida de forma negativa, quando ocorre o bloqueio de uma operação bancária eletrônica sem explicação. Muito do aprendizado, hoje em dia, passa pela internet, e buscar informação na rede sem a ajuda de mecanismos de busca é desconcertante. Hoje em dia esses mecanismos nos oferecem mais do que simplesmente o resultado de uma procura. Eles parecem ter inteligência própria ao nos oferecer sugestões relacionadas ao nosso interesse. Esta forma de comunicação está se incorporando aos costumes e é fortemente influenciada pelos denominados agentes, contidos nos sistemas. Nesse trabalho, é feito um histórico do seu aparecimento e das inovações tecnológicas e culturais introduzidas, focalizando, primariamente, os primórdios da Inteligência Artificial para que seja construída uma visão clara e detalhada dos agentes inteligentes artificiais até o momento presente, a fim de que seja possível estabelecer uma trajetória hipotética de evolução futura. O referencial teórico do trabalho apóia-se na complexidade do tema abordado. Complexidade que evoca ferramentas e olhares distintos, dinâmicos e interatuantes, apontando para a computação e seus vários aspectos, a inteligência artificial e suas ferramentas; a cibernética como primeira arena de interdisciplinaridade e, atingindo a semiótica como ambiente e ferramenta de análise do processo de produção e mediação do conhecimento e as teorias da complexidade. O corpus da análise e interpretação restringe-se ao fenômeno dos Agentes Inteligentes Artificiais desde sua origem, a partir da inspeção de vários campos de conhecimento, necessários à compreensão do tema abordado. O trabalho levanta a hipótese da tendência marcante de pulverização e invisibilidade crescentes dos Agentes Inteligentes Artificiais, como elementos de apoio na tomada de decisão e controle da informação recebida
Книги з теми "Artificial Social Agents"
Gershenson, Carlos. Artificial societies of intelligent agents: Virtual experiments of individual and social bahavior. Saarbrücken: Lambert Academic Publishing, 2010.
Знайти повний текст джерелаCo-ordination in artificial agent societies: Social structures and its implications for autonomous problem-solving agents. Berlin: Springer, 1999.
Знайти повний текст джерела1952-, Conte Rosaria, Dellarocas Chrysanthos 1967-, and Workshop on Norms and Institutions in Multi-Agent Systems (1st : 2000 : Barcelona, Spain), eds. Social order in multiagent systems. Boston: Kluwer Academic Publishers, 2001.
Знайти повний текст джерелаN, Pelton Joseph, Oslund Robert J, and Marshall Peter, eds. Communications satellites: Global change agents. Mahwah, N.J: Lawrence Erlbaum Associates, 2004.
Знайти повний текст джерелаCristiano, Castelfranchi, and Werner Eric 1944-, eds. Artificial social systems: 4th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '92, S. Martino al Cimino, Italy, July 29-31, 1992 : selected papers. Berlin: Springer-Verlag, 1994.
Знайти повний текст джерелаBrowning [sic] agents and active particles: Collective dynamics in the natural and social sciences. 2nd ed. Berlin: Springer, 2007.
Знайти повний текст джерелаBrowning [sic] agents and active particles: Collective dynamics in the natural and social sciences. 2nd ed. Berlin: Springer, 2007.
Знайти повний текст джерела1972-, Trajkovski Goran, and Collins Samuel Gerald, eds. Handbook of research on agent-based societies: Social and cultural interactions. Hershey PA: Information Science Reference, 2009.
Знайти повний текст джерелаDavid, Hales, ed. Multi-agent-based simulation III: 4th international workshop, MABS 2003, Melbourne, Australia, July 14, 2003 : revised papers. Berlin: Springer, 2003.
Знайти повний текст джерелаEngineering societies in the agents world VIII: 8th international workshop, ESAW 2007, Athens, Greece, October 22-24, 2007 : revised selected papers. Berlin: Springer, 2008.
Знайти повний текст джерелаЧастини книг з теми "Artificial Social Agents"
Kempt, Hendrik. "Artificial Social Agents." In Chatbots and the Domestication of AI, 77–135. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56290-8_5.
Повний текст джерелаStrasser, Anna. "Social Cognition and Artificial Agents." In Studies in Applied Philosophy, Epistemology and Rational Ethics, 106–14. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96448-5_12.
Повний текст джерелаLomborg, Bjørn. "Game theory vs. multiple agents: The iterated prisoner's dilemma." In Artificial Social Systems, 69–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58266-5_5.
Повний текст джерелаKrenn, Brigitte, Stephanie Schreitter, Friedrich Neubarth, and Gregor Sieber. "Social Evaluation of Artificial Agents by Language Varieties." In Intelligent Virtual Agents, 377–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33197-8_39.
Повний текст джерелаMcCartney, Mark, and David Pearson. "Social Agents in Dynamic Equilibrium." In Artificial Neural Nets and Genetic Algorithms, 256–59. Vienna: Springer Vienna, 2003. http://dx.doi.org/10.1007/978-3-7091-0646-4_46.
Повний текст джерелаCaldas, José Castro, and Helder Coelho. "Strategic interaction in oligopolistic markets — experimenting with real and artificial agents." In Artificial Social Systems, 147–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58266-5_9.
Повний текст джерелаPecune, Florian, Magalie Ochs, and Catherine Pelachaud. "A Cognitive Model of Social Relations for Artificial Companions." In Intelligent Virtual Agents, 325–28. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09767-1_42.
Повний текст джерелаLettieri, Nicola, Antonio Altamura, Delfina Malandrino, and Valentina Punzo. "Agents Shaping Networks Shaping Agents: Integrating Social Network Analysis and Agent-Based Modeling in Computational Crime Research." In Progress in Artificial Intelligence, 15–27. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65340-2_2.
Повний текст джерелаKita, Hajime. "Trading Agents for Artificial Futures Markets." In Digital Designs for Money, Markets, and Social Dilemmas, 241–50. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0937-5_10.
Повний текст джерелаBillari, Francesco C., and Giuseppe A. Micheli. "Social Norms on Agents’ Demographic Events." In Multiagent Systems, Artificial Societies, and Simulated Organizations, 221–35. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1555-5_11.
Повний текст джерелаТези доповідей конференцій з теми "Artificial Social Agents"
Subagdja, Budhitama, Han Yi Tay, and Ah-Hwee Tan. "Who Am I?: Towards Social Self-Awareness for Intelligent Agents." In 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.2020/606.
Повний текст джерелаHegde, Aditya, Vibhav Agarwal, and Shrisha Rao. "Ethics, Prosperity, and Society: Moral Evaluation Using Virtue Ethics and Utilitarianism." In 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.2020/24.
Повний текст джерела"Information Dissemination in Social Networks." In International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004917202670271.
Повний текст джерела"Social Cognition in Silica - A ‘Theory of Mind’ for Socially Aware Artificial Minds." In International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004917606570662.
Повний текст джерелаGourvès, Laurent, Julien Lesca, and Anaëlle Wilczynski. "Object Allocation via Swaps along a Social Network." 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.2017/31.
Повний текст джерелаTian, Yu, Xingliang Huang, Ruigang Niu, Hongfeng Yu, Peijin Wang, and Xian Sun. "Hypertron: Explicit Social-Temporal Hypergraph Framework for Multi-Agent Forecasting." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/189.
Повний текст джерелаJelínek, Jiří, and Roman Klimeš. "Improved Model of Social Networks Dynamics." In 8th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005682701410148.
Повний текст джерелаLarsen, John Bruntse, Virginia Dignum, Jørgen Villadsen, and Frank Dignum. "Querying Social Practices in Hospital Context." In 10th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006580904050412.
Повний текст джерелаBullinger, Martin, Pascal Lenzner, and Anna Melnichenko. "Network Creation with Homophilic Agents." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/22.
Повний текст джерелаSanchez, David, and Alexandre Viejo. "Privacy Risk Assessment of Textual Publications in Social Networks." In International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005281202360241.
Повний текст джерелаЗвіти організацій з теми "Artificial Social Agents"
Mehmood, Hamid, Surya Karthik Mukkavilli, Ingmar Weber, Atsushi Koshio, Chinaporn Meechaiya, Thanapon Piman, Kenneth Mubea, Cecilia Tortajada, Kimberly Mahadeo, and Danielle Liao. Strategic Foresight to Applications of Artificial Intelligence to Achieve Water-related Sustainable Development Goals. United Nations University Institute for Water, Environment and Health, April 2020. http://dx.doi.org/10.53328/lotc2968.
Повний текст джерелаRoveri, Camilla. Inteligencia Artificial para el bienestar y una vida sana en Latinoamérica: Hacia un ecosistema de innovación responsable para la salud digital. Fundación Carolina, December 2022. http://dx.doi.org/10.33960/ac_21.2022.
Повний текст джерелаLewis, Dustin. Three Pathways to Secure Greater Respect for International Law concerning War Algorithms. Harvard Law School Program on International Law and Armed Conflict, 2020. http://dx.doi.org/10.54813/wwxn5790.
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