33 resultados para Land Act
Resumo:
El artículo hace una revisión de aquellas intervenciones artísticas que abordan determinados usos del territorio urbano y formas de cultivo. Actuaciones que mediante la acción de plantar y cultivar generan espacios para la expresión de identidades artísticas, políticas y sociales. Estos lugares encuentran asentamiento en los intersticios de nuestras ciudades, en espacios vacíos como solares abandonados, en zonas no urbanizables o semi urbanizadas, en riberas de ríos, arcenes de autopistas, márgenes de vías de tren, etc. The paper reviews those specific artistic interventions that address urban land uses and farming methods. Actions that through the act of planting and cultivating generate spaces for the expression of artistic, political and social identities. These places are settling in the interstices of our cities, in empty spaces such as brownfield sites, in non-urbanized or semi urbanized areas, on riverbanks, highways verges, railways edges, etc.
Resumo:
Peer-reviewed
Resumo:
We adapt the Shout and Act algorithm to Digital Objects Preservation where agents explore file systems looking for digital objects to be preserved (victims). When they find something they “shout” so that agent mates can hear it. The louder the shout, the urgent or most important the finding is. Louder shouts can also refer to closeness. We perform several experiments to show that this system works very scalably, showing that heterogeneous teams of agents outperform homogeneous ones over a wide range of tasks complexity. The target at-risk documents are MS Office documents (including an RTF file) with Excel content or in Excel format. Thus, an interesting conclusion from the experiments is that fewer heterogeneous (varying skills) agents can equal the performance of many homogeneous (combined super-skilled) agents, implying significant performance increases with lower overall cost growth. Our results impact the design of Digital Objects Preservation teams: a properly designed combination of heterogeneous teams is cheaper and more scalable when confronted with uncertain maps of digital objects that need to be preserved. A cost pyramid is proposed for engineers to use for modeling the most effective agent combinations