¿Derecho al comercio o imposición del libre mercado?

Si bien existe un acuerdo considerable acerca de los efectos benéficos del libre comercio (siempre y cuando la libertad sea recíproca y no arreglada a favor de los poderosos), cada vez se dan más discusiones acerca de la pretensión de evitar cualquier regulación, como lo evidencia la oposición a que se introduzca el Acuerdo Multilateral sobre la Inversión y la inquietud con las Medidas de Inversión Relacionadas con el Comercio. En este contexto, los reclamos por un derecho al comercio deben ser analizados con cuidado para determinar sus parámetros. ¿Se trata solo de que las empresas transnacionales realicen sus negocios sin someterse al control del estado

Nonhuman gamblers: lessons from rodents, primates, and robots

The search for neuronal and psychological underpinnings of pathological gambling in humans would benefit from investigating related phenomena also outside of our species. In this paper, we present a survey of studies in three widely different populations of agents, namely rodents, non-human primates, and robots. Each of these populations offers valuable and complementary insights on the topic, as the literature demonstrates. In addition, we highlight the deep and complex connections between relevant results across these different areas of research (i.e., cognitive and computational neuroscience, neuroethology, cognitive primatology, neuropsychiatry, evolutionary robotics), to make the case for a greater degree of methodological integration in future studies on pathological gambling

Sensorimotor input as a language generalisation tool: a neurorobotics model for generation and generalisation of noun-verb combinations with sensorimotor inputs

The paper presents a neurorobotics cognitive model explaining the understanding and generalisation of nouns and verbs combinations when a vocal command consisting of a verb-noun sentence is provided to a humanoid robot. The dataset used for training was obtained from object manipulation tasks with a humanoid robot platform; it includes 9 motor actions and 9 objects placing placed in 6 different locations), which enables the robot to learn to handle real-world objects and actions. Based on the multiple time-scale recurrent neural networks, this study demonstrates its generalisation capability using a large data-set, with which the robot was able to generalise semantic representation of novel combinations of noun-verb sentences, and therefore produce the corresponding motor behaviours. This generalisation process is done via the grounding process: different objects are being interacted, and associated, with different motor behaviours, following a learning approach inspired by developmental language acquisition in infants. Further analyses of the learned network dynamics and representations also demonstrate how the generalisation is possible via the exploitation of this functional hierarchical recurrent network

The Status Importance Scale: Development and validation of a self‐report questionnaire for measuring how much people care about status

Although substantial research indicates that considerations about status can lead to anxiety and other negative outcomes, a valid measure of the importance individuals attribute to status is lacking. This paper introduces the Status Importance Scale (SIS), a mono‐factorial 10‐item self‐report questionnaire that quantifies how important a person deems status to be. Five studies validate the scale showing that it has excellent internal reliability and acceptable test–retest reliability, it correlates with several related measures (supporting convergent validity), it shows little correlation with theoretically unrelated constructs (supporting discriminant validity), it is the best predictor of conspicuous consumption compared with other potential candidates (supporting concurrent validity), and it can help predicting which activities one gives importance to (further supporting concurrent validity). Finally, as hypothesized by previous literature, the last study reveals that the SIS can predict status anxiety. The SIS can contribute to research regarding important phenomena such as the detrimental psychological effects of income inequality