and this bias is appropriately reflected
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and mostly go about their lives doing things
and a subspace ∆ ∈ Σ µ of inference agents
using the languages of category theory and information geometry.
but then refined by inference and other processes). The assumed intelligent agent
each of which is associated with specific algorithms and structures
and the PLN uncertain inference framework (see Chapter 34). The
and be unsolvable by any system not far along
and how the system interacts with its environment. Real-world general intelligence
and they’re also of practical importance when one
the extreme commonality of symmetry groups in the (everyday and
and another agent is able to interpret the meaning
that does not fall into any of these categories and constitutes “mixed knowledge.”
in order to qualitatively guide our practical AGI R&D and also to motivate further
via just touching peanut butter and jelly to