Open peer commentary on the article “A Computational Constructivist Model as an Anticipatory Learning Mechanism for Coupled Agent–Environment Systems” by Filipo Studzinski Perotto. Upshot: The CALM cognitive agent with its learning mechanism, as presented by the author, can be described as “trivially constructivist.” Probably, at best, it can be seen as a model of the empirical abstraction but not of the reflective abstraction. The “intrinsic motivations” in the simulated agent presented as “evaluative signals” sent from the agent’s “body” to its “mind” can be seen as low-level physiological drives. They cannot account for far more sophisticated intrinsic motivations such as curiosity.
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