Titlebook: Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation.; International Worksh Alfonso González

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On Balancing Fairness and Efficiency of Task Assignment in Agent Societiesally. In particular, some agents may be more efficient than the others in providing certain tasks. Thus, a task-agent assignment decision determines the overall performance of the society. The conventional linear sum assignment problem handles the assignment of tasks to a society of agents in a one-

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Plant Disease Detection: An Edge-AI Proposalvironments of this kind. In the agricultural environment, several proposals mainly try to develop crop management systems based on the spatial and temporal variability of different factors within a crop field, which is currently known as precision agriculture. One of the most critical tasks in this

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Machine Lerning for the Analysis of Vegetation in the Heritage City of Salamancas of Climate Change. However, they can also play a key role in mitigating these consequences thanks to the new Smart Cities, based on IoT technologies, Big Data tools and Artificial Intelligence techniques such as Machine Learning. This article presents a successful case study carried out in the wor

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Demand-Responsive Mobility for Rural Areas: A Reviewng costs. Many works propose and analyse demand-responsive transportation systems for urban areas with a high displacement demand. However, the number of works that propose these systems for rural settlements, where scattered populations and low demand are present, is reduced. This work discusses th

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FAN-VE: A Tool for Facial Animation Generation in Virtual Reality Education Reality. With the rise of popularity in VR and remote education, the optimization of virtual teachers becomes needed. In this paper, we present a tool that provides facial animations to virtual teachers. The tool is designed to be user friendly, generic, and work across different models and facial

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Vaxera: An Empathetic Chatbot for COVID-19 Vaccinationre used to combat the risk of misinformation amplification during the pandemic. They provide users with information from trusted and reliable sources. However, most of the current COVID-19 chatbots are non-personalized and do not focus on the vaccination process, rather they focus on answering gener

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Personalized Avatars Without Agentic Interaction: Do They Promote Learning Performance and Sense of h care or education. This experimental study explores the impact of virtual self- and virtual other presence on e-learning performance in a virtual classroom setting. In addition, the relevance of virtual teachers is explored. The classroom setting is designed to simulate to study either alone with

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The Effects of Personality Traits on Rumors are multiple factors that could make a rumor more believable, this paper focuses on investigating the effects of personality traits on believing or disbelieving rumors. Participants were given a survey which included rumors relating to a single topic, COVID-19, to avoid topic-bias. Participants wer

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Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation.International Worksh

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Alfonso González-Briones,Ana Almeida,Fernando Lope