Results for “Harvard Society of Mind, Brain, and Behavior”

” where “complexity” is gauged by the assumed measures ν and γ.

and γ is defined to weight goals according to

and this bias is appropriately reflected

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.”