16 Mar Neurons – Section 2 Intro
Neurons: Processing Elements or Storage Cells? In the Brains section of this blog, we examine the brain, its areas, and the types of neurons that populate the different layers of some of the brain’s areas. My posts in this segment will turn up the magnification and look a little deeper. What can be seen inside the cells? What is it that […]
12 Mar Artificial Smarts – Intro to Section 8
Welcome to Section 8 of Understanding Context. Click here for the table of contents. After having gone into too much and not enough detail about the brain and how it enables us to thing and understand one another, it’s time to apply this knowledge to making computers do more for us. That’s what this section is […]
10 Mar Biological Brains – Section 1 Intro
In this segment of the Understanding Context Blog, I will take a high level look at the brain: Its areas, Cell types, And functions. I’ll also explore where the brain stores and processes different types of information, including emotions. Studying the human brain is an important part of this analysis, because biological brains clearly outperform man-made information […]
06 Mar Correlation in Neuroeconomics
I find that driving when my body is tense, especially on slick roads or in poor visibility, is uncomfortable to the point of danger. Stress is a killer. I found, as a student, that relaxing at the piano just before going in to the test helped me perform better (on the test). I think many […]
26 Feb Choosing an Ontology Framework
Ontology is a knowledge representation language like Roger Schank‘s Semantic Networks and John Sowa‘s Conceptual Graphs or Doug Lenat‘s Semantic Web. An Ontology framework is the model (structure, function and content definition) in which you choose to build your ontology. Like a Relational Database or an Object Oriented Programming Language, an ontology has defined structures, functions […]
24 Feb Intro to the End of Code
By: Joe Roushar – February 2013 In the Beginning When computer programming began, it consisted mostly of written computer instructions called code. Data was minimal. Decks of dozens to hundreds of punched cards told the computer what to do with the data, which was also encoded on punched cards. The process of writing and debugging code was tremendously tedious. As computing […]
21 Jan Gating in Human Reasoning
Both neuroscience and computer science have borrowed the metaphor of the gate for representing the function of letting some things go through and restricting others. In computing it is mostly a binary function: if the gate is closed, nothing comes in, if the gate is open, everything that is at the threshold comes in. I chose the pictures above because gates […]