Framework for Modeling Partial Conceptual Autonomy of Adaptive and Communicating Agents

We develop a framework for discussing the degree of conceptual autonomy of natural and artificial agents. We claim that aspects related to learning and communication necessitate adaptive agents that are partially autonomous. We demonstrate how partial conceptual autonomy can be obtained through a self-organization process. The input for the agents consists of perceptions of the environment, expressions communicated by other agents as well as the recognized identities of other agents.

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