The goal of this thesis is to apply the computational approach to motor learning, i.e., describe the constraints that enable performance improvement with experience and also the constraints that must be satisfied by a motor learning system, describe what is…

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This paper analyzes the suitability of reinforcement learning (RL) for both programming and adapting situated agents. We discuss two RL algorithms: Q-learning and the Bucket Brigade. We introduce a special case of the Bucket Brigade, and analyze and compare its…

In this note we discuss how recognition can be achieved from a single 2D model view exploiting prior knowledge of an object's structure (e.g. symmetry). We prove that for any bilaterally symmetric 3D object one non- accidental 2D model view…

En este trabajo realizo una reflexión metodológica acerca de la incorporación de una técnica utilizada en el campo de las etnociencias a un estudio etnográfico sobre las experiencias formativas de niños indígenas y campesinos del noreste argentino. Dado que mi…

Explanation-based Generalization requires that the learner obtain an explanation of why a precedent exemplifies a concept. It is, therefore, useless if the system fails to find this explanation. However, it is not necessary to give up and resort to purely…

The ecological camp as a university extension project emerged in 2001 from the subject Sociology and Environmental Education in the course Environmental Engineering in the Agronomic Engineering School at National University of the East. It was designed as an environmental…