Tag Archives: AI
12 Feb Conscious Phenomena
Conscious Phenomena For the past few posts, I have been exploring consciousness. Extra-sensory perception is a part, or an extension of consciousness. Are you sometimes psychic? Some people have truly remarkable extra-sensory capabilities while others do not. I read a short story by Ursula K. Le Guin, though I can’t for the life of me remember the […]
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 […]
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 […]
25 Jan The Chromophore as Digital Bit
I have opined in prior posts that the skeletal components that give structure to axons and dendrites, especially microtubules, may play a larger role in cognition than previously thought. The illustration of microtubule structure at right shows how the alpha and beta tubulin dimers string themselves together to make protofilaments, which further join one another […]
14 Jan Timing is Everything: Asynchronicity of E/I
Time marches straight on in a never-ending rhythm, never stopping to rest – never missing a beat. After memory fails, and all the mainsprings unwind, time strides forward. Coincidence and synchronicity of events in the physical universe are time bound, but not necessarily meaning bound. In the human brain, time loses relevance and thought flows in lesser […]
10 Jan Shades of Meaning
I have been sharing my observations on the electrical behavior of the brain this month, with a brief glance at perspectives on perception. My work began, and may end with language. As my springboard into artificial intelligence, I’ve been trying for years to develop computer programs that can understand your intent and use that understanding […]
30 Dec Context Models
Building a Model The goals of the research that evolved into Understanding Context were twofold: to investigate human physiology/psychology for clues that would let us evaluate neuromorphic computational paradigms; and to explore the possibility of new computational models using context to correlate and associate concepts. Birds fly and they are lightweight. Building models of flight with lightweight materials works […]
01 Oct Methodology or Mythology
Call me a “nut”, but I have always been enthralled by science fiction. An image of Dave, a surprised and confused astronaut from 2001, a Space Odyssey, stays in my mind. In his eyes, I could see his brain working frantically to figure out how to master the situation, and giving way to hopelessness. The […]
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 […]
31 Mar Asymmetrical Balance, True Love and Chaos
Inequality is the Pattern Unequal distributions characterize everything in the universe from subatomic particles to galaxies. In fact the whole idea of “equality” in the physical universe seems at least a tiny bit sketchy. At the extreme end of unequal distributions is chaos. On the near end are things that approximate equality: balance, parity, equal opportunity, symmetry […]