I think much of the confusion about Active Inference arises because the term is used to refer to two related, yet distinct concepts (one can also call them abstractions, theories, or ontics): an intelligence architecture and a theory of agency. In the literature on Active Inference, little or no attention…

Problem statement The problem of epistemic irresponsibility, as I will call it in this post, is that people sometimes agree that their reasoning (and hence models that they hold and use as the basis of their action) is irrational or illogical. For example, people knowingly use theories that have already been refuted…

In my impression, in the last several years, in the media coverage of the progress in AI, journalists often called “believers” the pundits (interviewed or quoted by the journalists) who thought that AI can in principle take over all intellectual work from humans, or that AI is “intelligent” in some…

The quotes below are from here. Mutual adjustment 1. Mutual adjustment, which achieves coordination by the simple process of informal communication (as between two operating employees) Mutual adjustment doesn’t require any up-front investment and produces good results, albeit at the highest coordination cost per unit of work among all the coordination mechanisms. Direct supervision …

Active inference agents minimise the expected free energy over a trajectory of actions. Free energy over a trajectory is the divergence between the variational distribution Q(o|π) of expected outcomes, o, given the action policy, π, and P(o|C): the conditioned probability of outcomes, o, upon some desired state of affairs, C…

Upon reading “On the Opportunities and Risks of Foundation Models”, 2.3 “Robotics”, I predict that manufacturing automation could, and probably will be automated without foundation models for robotics. Robotic AI which uses non-foundation models and is supervised by humans will be used in manufacturing until AGI arrives. Making a foundation…

The statement from the title of this post is the result of combining several ideas which I present below. …

System analysis, risk analysis, requirements management, systems management, system synthesis, enterprise architecture, and change management — This post is the first in a series about the important aspects of the discipline (method) of information systems architecture. The word “systems” in this phrase refers not merely to the “architecture of information systems” (any systems that involve some information technology or software, which is nowadays pretty much every…

For the purposes of this post, a model is a nebulous concept related to a mathematical function, but not equivalent to it. A function is an “ideal” mathematical object, whereas a model can be limited to verifying that certain arguments correspond to a certain value in a function, but not…