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12 Jul Anatomy of Insight: Prediction and Qualitative BI

Anatomy of Insight

Not just any body Body is a versatile word as it has broad application. In the context of astronomy, we describe celestial bodies. In topographical mapping, there are bodies of water. But in my interactions, I most often encounter “body” in the context of human physiology. The word, “body” implies both clearly defined limits (i.e. […]

11 Jul [Mitrović 1998]

21 May What it Means to Be, and Why AI Needs to Know

Semantic Primitives

Interaction between humans is intricate, intimate and beautiful. Good conversations are like dances and can leave one feeling fulfilled and whole. I have long wanted to build a system that can verbally dance with you. Even longer, one to rapidly translate what you say with high accuracy into any number of other languages, enabling cross-cultural dances. […]

04 Jul Cognitive Multi-Processing

Layered Model

Today I’ll address parallel computing and models for breaking down computational problems. I will not address the question of autonomy today, but save the question of empowering independent agents for a future post. ANS and Multiprocessors Artificial Neural Systems (ANS) are probably the closest approximation of the mechanical brain paradigm, so it is useful to know how […]

07 Dec Curating Digital Meaning


I think of museums when I hear about curating. Meaning is, in a strange way, an artifact, simultaneously ancient and modern. Meaning has existed as long as perception has existed in the most rudimentary forms of life. For the purposes of my blog, I define meaning as: “the fruit of understanding and the fuel of […]

20 Oct High 5s of Intelligent Information Modeling

Converged Canonical Model

Quantitative data is easy to make into useful information by establishing correct associations and providing human experts with the right slicing and dicing tools. But in its native format, data is not independently meaningful. Many qualitative content sources are narrative, born as whole information. Such content is advanced beyond data because of the built-in associations, but inevitably more difficult for machines to […]

23 Feb Inference in Knowledge Apps

Thinking Process

In Section 5 we discussed different kinds of knowledge, including existential or hierarchical knowledge and causal knowledge. In Section 7 we discussed modeling approaches and search techniques that could be applied to any kind of knowledge. We saw that causal knowledge can be modeled as chains of causes and effects, and that existential knowledge can be […]

08 Feb Just In Time Knowledge

Coin Toss Masks

One of the beautiful things about the human brain is it’s adaptability: people can “change” their minds at the last minute based on the changing situation (context). This is not trivial, but I believe that it is one of the characteristics of human cognition that is relatively straightforward to mimic in computer programs and apps. In […]

14 Jan Segregating Layers of Intelligence

Layer Cake

Layered Architectures Layers appear regularly in my blog, whether it’s layers of the brain, layers of processing nodes in artificial neural networks or layers in systems architectures. Layering embodies important patterns in the inexorable move toward a knowledge economy with knowledge systems. In today’s post, I’m going to talk about what layering brings to enterprise […]