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Balancing Agency and Embeddedness in AI Systems
This chapter delves into the paradox of balancing agency in AI systems while being part of a larger environment. The discussion highlights the importance of historical context and information-sharing in shaping actions and preferences. It transitions to explaining active inference as reflecting beliefs about the external world and the bidirectional interaction between internal cognitive processes and external influences.