Re-embodying cognition with the same “biases”?
The interest on embodied cognition provides great clues for the understanding of human and other animals data-processing and their social behaviors. On the other side, this understanding offers us new ways to conceptualize and to design from scratch new embodiments for artificial cognitive Systems (AI, robots). We need to take into account that: a) cognitive processes are expressed in complex environments, b) the available data for cognitive systems are never enough in quality or size, and c) the cognitive mechanisms are deeply biased because of the nature of input sensors or processing mechanisms. Therefore, we need to think about the costs and benefits of implementing biased cognitive architectures and the possible procedures to select among their design.
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