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Este trabajo aborda la causa del conflicto entre principal y agente, buscando respuestas en las disciplinas de la biología, particularmente en las ciencias de la antropología criminal. Se ha realizado un ensamble entre los hallazgos de la teoría de agencia y la teoría de los delitos de cuello blanco, reinterpretando las actuaciones del agente desde su configuración entre instinto, herencia y personalidad. Los resultados en las ciencias biológicas podrían aportar nuevas interpretaciones y explicaciones en las ciencias de la administración, avanzando hacia mejores conceptualizaciones del conflicto, mediante teorías con mayor contenido empírico. En general, pese al conflicto permanente entre las partes, su dinámica potencia los resultados perseguidos por el principal.

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We empirically study the impact of inflation targeting credibility on business cycle synchronization with G-7 economies. To do this, we use a sample of 15 inflation targeting countries to develop and calculate a reputation-based credibility measure for long-and short-term memory. By using dynamic multipliers through a panel vector autoregressive model, our main findings indicate that greater credibility allows for greater anchoring of inflation expectations by economic agents. This would lead to a greater effectiveness of monetary policy in stabilizing the evolution of prices, allowing the output gap to be more sensitive to external aggregate demand shocks. Therefore, countries with inflation targeting regimes must develop and maintain credibility for their monetary policy if they want to encourage greater interactions with the rest of the world.

This work proposes a new cryptosystem, combining a Diffie-Hellman protocol in which hyperelliptic curves over GF(2 n) are implemented, with a Tree Parity Machine (TPM) synchronization. Security proposed for this cryptosystem is focused on overcoming a weakness of neuronal synchronization. Specifically, the stimulus vector that is public, which allows an attacker to try to synchronize with one of the participants of the synchronization. Focusing on this weakness, there are the following attacks: genetic attack, geometric attack and probabilistic attack. In the proposed cryptosystem, the initial stimulus vector will be hidden, because this vector is obtained as the common secret key in the Diffie-Hellman protocol. Then in each iteration, the stimulus vectors will be kept secret. This condition causes the learning time t lear to increase by a term of approximately 115% regarding the synchronization time t sync on average when the proposed cryptosystem is compared to the classic TPM synchronization.

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