Towards an\u2028 EU research and innovation policy agenda for nature-based solutions & re-naturing cities. Final report of the Horizon 2020 expert group on nature-based solutions and re-naturing cities.

1. Nature-based solutions harness the power and sophistication of nature to turn environmental, social and economic challenges into innovation opportunities. They can address a variety of societal challenges in sustainable ways, with the potential to contribute to green growth, 'future-proofing' society, fostering citizen well-being, providing business opportunities and positioning Europe as a leader in world markets. \u2028 2. Nature-based solutions are actions which are inspired by, supported by or copied from nature. They have tremendous potential to be energy and resource-efficient and resilient to change, but to be successful they must be adapted to local conditions. \u2028 3. Many nature-based solutions result in multiple co-benefits for health, the economy, society and the environment, and thus they can represent more efficient and cost-effective solutions than more traditional approaches. \u2028 4. An EU Research & Innovation (R&I) agenda on nature-based solutions will enable Europe to become a world leader both in R&I and in the growing market for nature-based solutions. For this, the evidence base for the effectiveness of nature-based solutions needs to be developed and then used to implement solutions. Both need to be done in conjunction with stakeholders. The potential for transferability and upscaling of solutions also requires further investigation. There is also a need to develop a systemic approach that combines technical, business, finance, governance, regulatory and social innovation. \u2028 5. Four principal goals have been identified that can be addressed by nature-based solutions: �� Enhancing sustainable urbanisation through nature-based solutions can stimulate economic growth as well as improving the environment, making cities more attractive, and enhancing human well-being. \u2028 �� Restoring degraded ecosystems using nature-based solutions can improve the resilience of ecosystems, enabling them to deliver vital ecosystem services and also to meet other societal challenges. \u2028 �� Developing climate change adaptation and mitigation using nature-based solutions can provide more resilient responses and enhance the storage of carbon. \u2028 �� Improving risk management and resilience using nature-based solutions can lead to greater benefits than conventional methods and offer synergies in reducing multiple risks. \u2028 6. Based on the four goals, seven nature-based solutions for R&I actions are recommended to be taken forward by the European Commission and Member States: �� Urban regeneration through nature-based solutions \u2028 �� Nature-based solutions for improving well-being in urban areas \u2028 �� Establishing nature-based solutions for coastal resilience \u2028 �� Multi-functional nature-based watershed management and ecosystem restoration \u2028 �� Nature-based solutions for increasing the sustainability of the use of matter and energy \u2028 �� Nature-based solutions for enhancing the insurance value of ecosystems \u2028 �� Increasing carbon sequestration through nature-based solutions \u2028This report was produced by the Horizon 2020 Expert Group on 'Nature-Based Solutions and Re- Naturing Cities', informed by the findings of an e-consultation and a stakeholder workshop. \u202

Self-assessment of health:how socioeconomic, functional, and emotional dimensions influence self-rated health among Italian nonagenarians

Self-Rated Health (SRH) is currently one of the most popular indicators of population health. Studies show that SRH has a strong association with physical functioning, well-being, and mortality across a variety of populations and ages. Despite its wide use, the different elements that act and interact when an individual assesses their own health are still not clear. To date, only one study has focused on the process of self-assessment of health among the oldest-old individuals. The aim of this paper is to explore direct and indirect effects of socioeconomic status, presence of disease, functional health, and emotional health on the good self-assessment of health among Italian nonagenarians. By applying Structural Equation Modelling (SEM) on Mugello Study data, we find a strong direct effect of both emotional and functional health on SRH, confirming their key roles in the process of self-assessment of health among the oldest-old individuals. Furthermore, we find indirect effects of socioeconomic status, presence of disease, and functional health on SRH. This is in line with existing literature on younger adults and elderly people

Aspectos cognitivos en el desarrollo de un equipo de fútbol con robots

El proyecto de investigación “Representación de Conocimiento y Razonamiento para Sistemas Multiagentes” tiene por objeto estudiar a los agentes como entidad cognitiva haciendo hincapié en técnicas de representación de conocimiento y razonamiento, particularmente Planificación, Dinámica de Creencias, Argumentación y Programación en Lógica. Asimismo, se analizan mecanismos de cooperación, coordinación y negociación entre agentes autónomos. El fútbol con robots provee un marco desafiante en el que aplicar y evaluar los resultados alcanzados en nuestra investigación. El propósito de este artículo es describir el plan de trabajo para el estudio de los agentes como entidad cognitiva y describir los principales aspectos a considerar en el diseño de cada uno de los miembros del equipo de fútbol: mecanismo de decisión, división de roles y selección de acciones primitivas para generar jugadas tácticas. Por otra parte, se detallarán algunas facultades de los miembros del equipo, que se deberán desarrollar al diseñar estrategias de juego.Eje: Inteligencia artificialRed de Universidades con Carreras en Informática (RedUNCI

Aspectos cognitivos en el desarrollo de un equipo de fútbol con robots

El proyecto de investigación “Representación de Conocimiento y Razonamiento para Sistemas Multiagentes” tiene por objeto estudiar a los agentes como entidad cognitiva haciendo hincapié en técnicas de representación de conocimiento y razonamiento, particularmente Planificación, Dinámica de Creencias, Argumentación y Programación en Lógica. Asimismo, se analizan mecanismos de cooperación, coordinación y negociación entre agentes autónomos. El fútbol con robots provee un marco desafiante en el que aplicar y evaluar los resultados alcanzados en nuestra investigación. El propósito de este artículo es describir el plan de trabajo para el estudio de los agentes como entidad cognitiva y describir los principales aspectos a considerar en el diseño de cada uno de los miembros del equipo de fútbol: mecanismo de decisión, división de roles y selección de acciones primitivas para generar jugadas tácticas. Por otra parte, se detallarán algunas facultades de los miembros del equipo, que se deberán desarrollar al diseñar estrategias de juego.Eje: Inteligencia artificialRed de Universidades con Carreras en Informática (RedUNCI