Automata facing constraints of time and energy in extreme zones: a simulation from Evolutionary Economics

  • Andrés Soto Pereira Departamento de Electricidad, Universidad Tecnológica Metropolitana
Palabras clave: emulation, productivity, automaton, extreme zone, evolution, scarcity


This paper proposes a model to explain the behavior of an automaton when it replaces humans facing shortage scenarios. Particularly it studies the behavior of the robot when is targeted on missions in extreme zones, the latter being understood as those parts of a territory whose natural conditions hamper the human physiology and so the performance at work. Accepting the recommendations from Evolutionary Economics as heterodox branch of Economics, it emulates the behavior of vertebrates in classical automata with the restriction of both time and energy when the device is entrusted the survey data in naturally hostile environments. The simulations show that performance of an automaton increases by 20% compared to a traditional one. Whereas the third of the planet's surface is essentially an extreme place, comprising of the polar caps, hyper-arid deserts, volcanoes and other inhospitable areas of reduced contribution to GDP; is expected that this proposal can be an attractive technology for the complete integration of those extreme zones.


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