Towards Representational Autonomy of Agents in Artificial Environments

摘要

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.