Tag Archives: information
22 May What Constitutes a Brain
By: Joe Roushar – May 2014 Mechanical Brains In its most general sense, the term mechanical brain could be applied to any man-made contrivance that is capable of functioning or generating information in some manner analogous to thinking. Under this broad definition, if the function were remembering an image (as we remember people’s faces), a camera with […]
21 May Modeling After a Fashion
Perennial Image Problems Artificial Intelligence has an image problem. Yes, there are cybernetic characters like R2D2, C3P0 and Commander Data whom we love, but some products built using AI techniques have the dubious reputation of being useful but not entirely dependable. Think of songs sung about Sirius Cybernetics Teleporter products (see lyrics below). It is possible that […]
20 May Cybernetic Modeling for Smarty-Pants
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 […]
14 May Analyzing Syntax
Analyzing Syntax Syntactic analysis requires some access to morphological features or characteristics of the words in the sentence being analyzed. Tense, gender and number must be accessible in order to establish agreement. There is clearly some interdependency between morphology and syntax. Morphological phenomena can change categories and roles of words. Roles and categories are the essential components of […]
13 May Patterns at the Boundaries
Morphological Patterns As we have shown in prior posts, we mentally process patterns both at a physical level between neurons and in brain layers, and at a cognitive level in recognition and reasoning. 3-DG uses attributes, patterns and constraints for morphological analysis, as well as analysis at other levels and between other strata. The 3-DG lexicon is organized […]
08 May Three-Dimensional Model of Language
Topographical maps of concepts in a text provide useful views of language. Fortuna et al in Semantic Knowledge Management (pp. 155-169) describe how three-dimensional topic maps can both give meaningful insights into clusters of related content, such as news stories or published papers. I have frequently stressed the importance of concept associations in the brain, in cognitive […]
07 May Pairs of Language Strata
The Paired Model By pairing language strata, we attempt to find or describe symmetrical structures in language, thus helping clarify one of the most abstract phenomena known to man: verbal communication. This pairing of characteristics is also useful in decomposing the problem into smaller chunks to make it easier for computers to deal with. A note […]
06 May Impulse Waves in Layers
Layered Model Just as the brain has areas with three to six distinct layers, a typical artificial neural systems (ANS) also has several layers. The example at right shows a network with three layers that illustrate a neural network‘s distributed architecture. The uniform circles connected by lines are symbolic of the state of an ANS at […]
05 May Learning from Errors
If at first you don’t succeed, try – try again. Humans are pretty good at learning from our mistakes. In fact, some suggest that whatever doesn’t kill you makes you stronger. Today I’d like to riff on that theme a bit, and talk about ways in which machines can implement learning from errors. Error Minimization […]
03 May Up from Words to Sentences
Words and Sentences The game of Scrabble is completely about words. Crossword puzzles go from sentence or phrase to word. Our analytical approach begins with the word, but doesn’t stop there. From both the cognitive and computational perspectives, the sentence exhibits far more complexity and changeability than the word. At any given moment, the structure of […]