08 Feb Seeing Within: Proprioception for Robots
I saw a couple movies awhile back, “The Terminator” and “Terminator 2” in which artificial intelligence in computers became hazardous to the survival of humanity. One of the premises, as I recall, was that the critical event that lead to the disastrous attempt of man-made machines to destroy humanity, was when they became “self-aware”. This […]
07 Feb Mindfulness
Imagine being able to flip a switch and get quantitative and qualitative improvements to your intelligence. Mindfulness, in the form of directing your attention or focus can induce changes in the structure and function of the brain. When I was in school, I learned that taking notes helped me not only focus better on what I […]
06 Feb Nature vs Nurture in Intelligence
The three deep roots of intelligence are biological (built into the flesh), cognitive (based on our unique mental responses to stimuli), and psychosocial (learned through culture-laden experiences). Language springs from the same roots, and becomes inseparably intertwined with intelligence. I came across this article in The Creativity Post that corroborated ideas I have been working on for […]
30 Jan From Aristotle to the Enchanted Loom
“Swiftly the brain becomes an enchanted loom, where millions of flashing shuttles weave a dissolving pattern-always a meaningful pattern-though never an abiding one” (Charles Sherrington). What of the centillion warps and woofs of ideation? Does it never abide? Passing seems to take away all that was ever weft, unless the Gods endow immortality on our thoughts and carry them […]
27 Jan Go With the Flow
Modeling Neural Electrical Flow Patterns From looking at possible mechanisms for information storage, we move back to its movement. It may be important to understand the patterns of electrical flow in the brain to define good models for artificial systems that attempt to match human competence in cognitive processing tasks. This is what neural network and […]
17 Jan Perceptrons and Weighted Schemes
Perceptrons In the late 1600’s, John Locke expounded an associationist theory in which neurons or “bundles” of neurons came to represent certain ideas and associations between ideas. Rosenblatt‘s work seems a logical extension of associationist theory. Perceptrons can perform linear discrimination, thus enabling them to model the cognitive function of recognition (or, in computational terms, pattern classification). […]
16 Jan Roots of Neural Nets
Roots of Neural Nets The concept of the modern Artificial Neural Systems (ANS) has its roots in the work of psychologists and philosophers as well as computer scientists. As mentioned in prior posts, Aristotelian theories on cognition and logic influenced the development of automata theory and associationism, spawning connectionism or parallel distributed processing (PDP) theory. Connectionism is the […]
09 Jan What of Perception
Questions Cognitive Modelers Might Ask The biological and chemical processes associated with brain activity are the foundation on which our exploration of the cognitive mind is built. Yet the physiological underpinnings are not sufficient, in themselves, to lead us to the next cybernetic level. Too many questions are left unanswered. In this section of Understanding […]
25 Aug Learning from Brain Disorders
Serotonin Imbalance I am possessed of an orderly disorder. My “Obsessive-Compulsive Disorder” (OCD) compels me to make sure everything is lined up nicely. Do good managers benefit from a little OCD? Today’s post is about what we can learn about the brain from observing what happens when something isn’t exactly right. Collette Bouchez, on WebMD, tells us […]
04 Aug Context of Knowing, Thinking and Believing
There may be an incontrovertible thing out there called “truth.” But it seems quite elusive to me. In Japanese it is very polite to append just about any declarative sentence, any assertion of knowledge with “to omoimasu” (と思います) meaning I think. By being less committal, we save the other people in the conversation from embarrassment because their […]