The process of interpretation allows cognitive agents to assign meaning to experiences and to abstract away from specifics, vital for reasoning and learning.
Interpretation in AI encompasses various structures and processes including schemas and mental models, which have been rediscovered in psychology and AI research several times.
Colby illustrates the complexity of interpretation in AIs by examining how misinterpretation can lead to behaviors like paranoia, highlighting potential flaws in reasoning.
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