Improving of Robotic Virtual Agent's errors that are accepted by reaction and human's preference [PDF]
International Conference on Social Robotics, Dec 2023, 2023 One way to improve the relationship between humans and anthropomorphic agents is to have humans empathize with the agents. In this study, we focused on a task between an agent and a human in which the agent makes a mistake. To investigate significant factors for designing a robotic agent that can promote humans empathy, we experimentally examined the ...
arxiv +1 more source
In B. Lugrin, C. Pelachaud, D. Traum (Eds.), The Handbook on
Socially Interactive Agents, Volume 1 (pp. 107-146). ACM books (2021), 2021 Socially interactive agents (SIAs) are no longer mere visions for future user interfaces, as 20 years of research and technology development has enabled the use of virtual and physical agents in day-to-day interfaces and environments. This chapter of the ACM "The Handbook on Socially Interactive Agents" reviews research on and technologies involving ...
arxiv +1 more source
Cardiomiopatía periparto: reporte de un caso y revisión de la literatura*
Revista Colombiana de Obstetricia y Ginecología, 2009 Objetivo: realizar una revisión de la literatura acerca de los aspectos más relevantes del manejo de la cardiomiopatía periparto (CMPP) en la unidad de alta dependencia obstétrica.
Alejandro Hernández-Guzmán +3 more
doaj +1 more source
An experimental rat model of ex vivo lung perfusion for the assessment of lungs after prostacyclin administration: inhaled versus parenteral routes [PDF]
, 2011 OBJETIVO: Apresentar um modelo experimental de administração de prostaglandina I2 (PGI2) por via inalatória vs. parenteral e avaliar o desempenho funcional dos pulmões em um sistema de perfusão pulmonar ex vivo.
ALMEIDA, Francine Maria de +7 more
core +2 more sources
Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning [PDF]
arXiv, 2021 Training a multi-agent reinforcement learning (MARL) algorithm is more challenging than training a single-agent reinforcement learning algorithm, because the result of a multi-agent task strongly depends on the complex interactions among agents and their interactions with a stochastic and dynamic environment.
arxiv
Fact-based Agent modeling for Multi-Agent Reinforcement Learning [PDF]
arXiv, 2023 In multi-agent systems, agents need to interact and collaborate with other agents in environments. Agent modeling is crucial to facilitate agent interactions and make adaptive cooperation strategies. However, it is challenging for agents to model the beliefs, behaviors, and intentions of other agents in non-stationary environment where all agent ...
arxiv
Cardiac transplantation with bicaval anastomosis and prophylactic graft tricuspid annuloplasty [PDF]
, 2008 OBJETIVO: O presente estudo tem por objetivo avaliar os efeitos da anuloplastia tricúspide profilática no coração doador em transplante cardíaco com anastomose bicaval.
ABREU FILHO, Carlos Alberto Cordeiro de +7 more
core +3 more sources
Study on the use of therapeutic group 'CO2' drugs (Antihypertensive) in Huelva province [PDF]
, 2003 Métodos: El presente trabajo analiza el consumo de medicamentos del Grupo Terapéu tico C02.Antihipertensivos, en Dosis Diaria Defrnida por cada 1 .000 habitant es y día (DHD) en cada uno de los siete Distritos Sanitarios en que se encuentra ...
Bravo Díaz, Luis +3 more
core
Cambios hemodinámicos en resección de feocromocitoma: Serie de casos [PDF]
, 2014 Con este trabajo se pretende Describir el comportamiento hemodinamico perioperatorio de una serie de casos de resección quirúrgica de feocromocitomas en el instituto Nacional de ...
Belalcázar Chávez, Fernando Otmaro +1 more
core
Caracterização de pacientes hipertensos resistentes frente adesão terapêutica na baixada litorânea do Rio de Janeiro [PDF]
, 2021 The aim was to characterize the sociodemographic and clinical profile of resistant hypertensive patients with regard to therapeutic adherence. Descriptive, cross-sectional study with 100 patients assisted at an Attention Center in Cabo Frio-RJ. Data were
Barcellos Oliveira Koeppe, Giselle +6 more
core +2 more sources