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Human perception has developed mechanisms for efficient functionality, for recognizing objects in the environment and associating these objects to the agent state and the environment itself. I am developing a visual object classifier taking information from a context imagery. This context is constructed from visual experiences an agent have been acquiring from environment, building data structures that help the classifier to recognize an object with a bias of the current task the agent has.
Human beings can effortlessly perceive stimuli through their sensory systems to learn, understand, recognize and act on our environment or context. Over the years, efforts have been made to enable cybernetic entities to be close to performing human perception tasks; and in general, to bring artificial intelligence closer to human intelligence. Neur...
In the field of Artificial Intelligence (AI), efforts to achieve human-like behavior have taken very different paths through time. Cognitive Architectures (CAs) differentiate from traditional AI approaches, due to their intention to model cognitive and behavioral processes by understanding the brain’s structure and their functionalities in a natura...
Under numerous circumstances, humans recognize visual objects in their environment with remarkable response times and accuracy. Existing artificial visual object recognition systems have not yet surpassed human vision, especially in its universality of application. We argue that modeling the recognition process in an exclusive feedforward manner hi...