Retraction notice to “Cognitive systems research for neuromarketing assessment on evaluating consumer learning theory with fMRI: Comparing how two Word-Of-Mouth strategies affect the human brain differently after a product harm crisis” [Cogn. Syst. Res. 49 (2018) 49–64]

2020 ◽  
Vol 59 ◽  
pp. 345
Author(s):  
Melissa Yi-Ting Hsu
2021 ◽  
Vol 1 (1) ◽  
pp. 30-43
Author(s):  
Surjo Soekadar ◽  
Jennifer Chandler ◽  
Marcello Ienca ◽  
Christoph Bublitz

Recent advances in neurotechnology allow for an increasingly tight integration of the human brain and mind with artificial cognitive systems, blending persons with technologies and creating an assemblage that we call a hybrid mind. In some ways the mind has always been a hybrid, emerging from the interaction of biology, culture (including technological artifacts) and the natural environment. However, with the emergence of neurotechnologies enabling bidirectional flows of information between the brain and AI-enabled devices, integrated into mutually adaptive assemblages, we have arrived at a point where the specific examination of this new instantiation of the hybrid mind is essential. Among the critical questions raised by this development are the effects of these devices on the user’s perception of the self, and on the user’s experience of their own mental contents. Questions arise related to the boundaries of the mind and body and whether the hardware and software that are functionally integrated with the body and mind are to be viewed as parts of the person or separate artifacts subject to different legal treatment. Other questions relate to how to attribute responsibility for actions taken as a result of the operations of a hybrid mind, as well as how to settle questions of the privacy and security of information generated and retained within a hybrid mind.


2010 ◽  
Vol 6 (6) ◽  
pp. 166-166
Author(s):  
M. Padilla ◽  
N. M. Grzywacz

2021 ◽  
Author(s):  
Marc Malmdorf Andersen ◽  
Andreas Roepstorff

Play occurs universally in human beings, and it has been a subject of considerable academic scrutiny for over 100 years. In this article, we propose a cognitive theory of play building on recent advances in cognitive and computational neuroscience that portray the human brain as an advanced prediction machine. Central to the theory is the idea that when an agent is free from the demands of certain competing cognitive systems, it may deliberately seek out and create surprising situations that gravitate towards sweet-spots of relative complexity. We argue that this framework can explain why humans play and why playing is so fun and rewarding.


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