Abstract
This chapter is devoted to autonomous cognitive machines by mean of the design of an artificial curiosity based cognitive system for autonomous high-level knowledge acquisition from visual information. Playing a chief role as well in visual attention as in interactive high-level knowledge construction, the artificial curiosity is realized through combining visual saliency detection and Machine-Learning based approaches. Experimental results validating the deployment of the investigated system have been obtained using as well simulation facilities as a real humanoid robot acquiring visually knowledge about its surrounding environment interacting with a human tutor. As show the reported results and experiments, the proposed cognitive system allows the machine to discover autonomously the surrounding world in which it may evolve, to learn new knowledge about it and to describe it using human-like natural utterances.
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- 1.
In ‘Different’, Eugene O’Neill, 1920: BENNY—(with a wink): “Curiosity killed a cat! Ask me no questions and I’ll tell you no lies.”
- 2.
Developed by the ICL at University of Stuttgart, available online at: http://www.ims.uni-stuttgart.de/projekte/corplex/TreeTagger.
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Madani, K., Sabourin, C., Ramík, D.M. (2016). Artificial Curiosity Emerging Human-Like Behavior: Toward Fully Autonomous Cognitive Robots. In: Madani, K., Dourado, A., Rosa, A., Filipe, J., Kacprzyk, J. (eds) Computational Intelligence. IJCCI 2013. Studies in Computational Intelligence, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-23392-5_28
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