Robosemiotics and embodied enactive cognition 
S-541 28 Skövde
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Much research in cognitive science and AI has
recently been devoted to the study of adaptive autonomous agents, such as
robots and artificial life systems. Such agents are typically said to ‘learn,
‘develop’ and ‘evolve’ in close interaction with their environments. It could
be argued that these self-organizing properties solve the problem of
representation grounding in AI research, and thus also place such ‘artificial
organisms’ in a position of semiotic interest. This paper discusses the use of
autonomous agents as models of sign processes and embodied enactive cognition.
Furthermore, it addresses the question whether or to what extent such agents
are themselves autonomous and capable of semiosis in
that sense that living organisms are.
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