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10 Jun Survival of the Fittest Knowledge

Genetic Search

Genetic Algorithms in Search I think we can safely assume that intelligent applications, including accurate language interpreters and translators, will possess large amounts of knowledge to be processed and searched. Genetic algorithms are great for searching for obscure data in massive search spaces. The mechanism for association in computers can be defined as searching, just as humans describe their […]

09 Jun In Search of Depth and Breadth

Mountains in Turkey

Depth-First Search Search is one of many functions needed in intelligent systems. Web search in systems like Google, Bing, Yahoo and Alta Vista use complex algorithms to help you find the information you want based on words. Words are patterns of letters strung together in a unique way. Searching is a kind of pattern matching. […]

07 Jun Finding a Tree in the Forest

Forest Trees

Complex Search Finding the information you need can be a problem, particularly when you have to look through tons (or terabytes) of data. I recall when geocaching first became popular. The idea that a technology could create a model for an entertaining activity that connects people in unusual ways is quite diverting. Will it still be popular […]

20 May Cybernetic Modeling for Smarty-Pants

Model Railroad

Introduction Model railroads come in several scales: O, HO and N gauge enable hobbyists to model real-world objects in miniature using successively smaller standards. In N gauge it is possible to build an entire city in the basement. A good model photographed with still or motion pictures may be so realistic that viewers believe they are looking […]

31 Mar [Davidson 2003]

29 Mar [Fogel 2002]

26 Mar Bayes and Search Theory

University of Edinburgh

What began as a study of belief has turned into a strategy for solving very complex problems.  Thomas Bayes (/ˈbeɪz/; 1701–1761) proposed a model in which adding evidence of different types, or from different sources, to a problem will change the calculated probabilities for the outcomes of the “reasoning” process. We’ve forgotten what he looked like, […]

18 Jan Multi-Layered Perceptron


Multi-Layered Perceptron In prior posts we introduced the concept of the artificial neural network and the perceptron model as a simple implementation of a neural network. We showed the structure, including an input layer and an output layer. Let’s look at one of the typical approaches for processing input to derive the output. The net output of […]

30 Dec Context Models

Model Plane

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

JOCWOL Continuum

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 […]