Abstract.
In this paper we present the Time Machine (TiM), an environment that simulates the digital assets onto the future and allows studying what self-preservation behaviors need the digital objects. This is based in computation intelligence and related methods of cost management under their own budget, powered by a social network as an environment that enables their behavior under the policy that preservation is to share. This approach contributes to achieve the following digital preservation requirements: adaption to unexpected situations, scalability, and efficient cost management, through an agent-based simulation. The key differentiation feature of TiM is that digital objects become active actors in their long term digital preservation, which has a digital preservation budget devoted to funding the replication of the objects and other operations such as format migration or finding a safe storage within a social network of users; in all, an environment where they will live. Its design considerations and implementation details are presented and, finally an example to illustrate some of the functionalities of the simulator.
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The PROTAGE Project: PReservation Organizations using Tools in AGent Environments
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Olvera, J.A., de la Rosa, J.L. (2015). Time Machine: Projecting the Digital Assets onto the Future Simulation Environment. In: Demazeau, Y., Decker, K., Bajo Pérez, J., de la Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection. PAAMS 2015. Lecture Notes in Computer Science(), vol 9086. Springer, Cham. https://doi.org/10.1007/978-3-319-18944-4_15
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