Abstract
Autonomy is a crucial property of an artificial agent. The type of representational structures and the role they play in the preservation of an agent’s autonomy are pointed out. A framework of self-organised Peircean semiotic processes is introduced and it is then used to demonstrate the emergence of grounded representational structures in agents interacting with their environment.
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© 2006 Springer-Verlag Berlin Heidelberg
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Arnellos, A., Vosinakis, S., Spyrou, T., Darzentas, J. (2006). Towards Representational Autonomy of Agents in Artificial Environments. In: Antoniou, G., Potamias, G., Spyropoulos, C., Plexousakis, D. (eds) Advances in Artificial Intelligence. SETN 2006. Lecture Notes in Computer Science(), vol 3955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752912_48
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DOI: https://doi.org/10.1007/11752912_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34117-8
Online ISBN: 978-3-540-34118-5
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