Category Archives: Knowledge
28 Aug Weight Control for Knowledge
Stochastic Models Data, information and knowledge may be stored in many different ways in computers. Most artificial neural models rely heavily on stochastic or probabilistic techniques for establishing the internal structure that represents the data. The generalized delta rule for adaptation is an example of this sort of technique. The generalized delta rule, developed by D.E. […]
25 Aug Determinacy in Neural Connections
For many years, researchers thought that it was wrong to assume that there was a cell or set of cells in the brain that stored the memory of Grandma’s face. Though the comparison with computer memory was appealing, it was thought to be too simplistic and incorrect. Now, more researchers in different academic disciplines are assuming […]
18 Aug Modeling Positive and Negative Activation
Humans learn from both positive and negative experiences. The electrical flow between neurons can be positive (excitatory), propagating electrical potential flow along neural path to create further excitation and a bubbling-up effect, or negative (inhibitory) reducing or stopping the electrical potential flow along a pathway. Remember that a neural pathway is not like a long line, but like […]
02 Aug Artificial Time
Time is omnipresent – you can’t get away from it. It is woven into everything we do and say and understand. It is an inextricable element of context. I was just speaking of how the connections in our brain develop, grow and evolve over time. Representing and handling this “temporal” element is fundamental to any […]
28 Jul Patterns in the Mind
As we look for suitable solution designs for representing the knowledge and processes we humans use to communicate, we realize that we have no idea what knowledge in the brain looks like. Further, we only have relatively vague ideas about the processes that occur in the brain as we produce and comprehend words, phrases and sentences. […]
24 Jul Pattern Classification in Space
Pattern Classification Visual patterns can be recognized and classified based on prior knowledge: I see that this hairy animal has four legs and is about the same size as my dog, so I’ll assume it is (or classify it as) a dog. This may not be a correct classification, but it’s more correct than classifying it […]
15 Jul From Perception and Learning to Logic
Perception and Learning I am not a cognitive scientist, so all I have said in this section is based on the work of others. On the other hand, I have probably spent more time seriously studying cognition than most computer geeks, and I have tried to form my perspectives around the best of our knowledge. The […]