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Multimodal imitative learning and synchrony in cetaceans: A model for speech and singing evolution
(2023)
Multimodal imitation of actions, gestures and vocal production is a hallmark of the evolution of human communication, as both, vocal learning and visual-gestural imitation, were crucial factors that facilitated the evolution ...
Imitative learning as a connector of collective brains
(Public Library of Science - PLOSSan Francisco, 2014-10)
The notion that cooperation can aid a group of agents to solve problems more efficiently than if those agents worked in isolation is prevalent in computer science and business circles. Here we consider a primordial form ...
Creative imitation in late industrializing countries: the case of biopharmaceutics in South Korea and India
(Taylor & Francis, 2021-05)
Given that the patents of the first high cost and complex biopharmaceuticals have started to expire, biotechnology offers opportunities for developing countries to pursue an upgrading process by entering the sector as early ...
From imitation to meaning: circuit plasticity and the acquisition of a conventionalized semantics
(Fontiers, 2014)
The capacity for language is arguably the most remarkable innovation of the human
brain. A relatively recent interpretation prescribes that part of the language-related circuits
were co-opted from circuitry involved in ...
Microeconomic model of residential location incorporating life cycle and social expectations
(Elsevier, 2016)
This paper is focused on the dynamics of residential location decisions based on the microeconomic theory of
urban land use, inwhich we assume that each property is assigned to the agent with the highest bid. The ...
Aprendizado por reforço assistido por imitação para jogos digitais
(Universidade Federal de Juiz de Fora (UFJF)BrasilICE – Instituto de Ciências ExatasPrograma de Pós-graduação em Modelagem ComputacionalUFJF, 2023)
SoccerKicks: A Dataset of 3D dead ball kicks reference movements for humanoid robots
(2021-01-01)
The possibility of robots imitating reference movements performed by experts recently emerged in the Machine Learning context. Based on Deep Reinforcement Learning (DRL), this process focuses on observing a reference ...
Integración de aprendizaje por imitación y refuerzo con realidad virtual
En este proyecto se muestra una vía para entrenar agentes inteligentes capaces de
realizar tareas de manipulación en entornos complejos. Para ello se ha creado un entorno
utilizando el motor gráfico Unity para, posteriormente, ...