Marc Wittmann

Yoonsuck Choe

 Michail Maniadakis

 Sylvie Droit-Volet

From the moment of birth, humans and animals are immersed in time: all experiences and actions evolve in time and are dynamically structured. The perception of time is thus a capacity indispensable for the control of perception, cognition and action. The last 10 years have witnessed a remarkable resurgence of interest in timing and time perception, with a continuously increasing number of researchers exploring these innate abilities. However, existing robotic systems largely neglect the key role of time in cognition and action. This is a major barrier for accomplishing the long-term goal of symbiotic human-robot interaction. The critical question is: how is time instantiated in a biological system and how can it be implemented in an artificial system? Recent years have for example seen an increasing focus on the relationship between affective states and the experience of time. The influence of affective states on subjective time seems to depend on the embodiment of emotions: intertwined affective and interoceptive states may create our subjective experience of time. Since robotic systems are in essence embodied information-processing systems that interact with the real world, we hope to inspire a reciprocal exchange of ideas between the field of Robotics and the Cognitive Neurosciences. In this research topic, we call researchers from different disciplines (Robotics, Neurosciences, and Psychology) to present their empirical work, their models or reviews on the question of how time judgments are instantiated in biological and artificial systems. Of particular interest are papers on time perception in humans and animals, with a focused interest on embodied time perception, i.e. the influence of affective and body states on time judgments. Moreover, the present Research Topic seeks to gather papers discussing the key role of time on different aspects of robotic cognition as well as modeling approaches. We are interested in paving the way for a new generation of intelligent computational systems that incorporate the sense of time in their processing loop and thus accomplish more efficient and more advanced cognitive capacities.

Towards embodied artificial cognition: TIME is on my side

Cesare Alippi

Francesco Carlo Morabito

Robert Kozma

Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book. Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN) Authored by top experts, global field pioneers and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making Edited by high-level academics and researchers in intelligent systems and neural networks

Yoonsuck Choe

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