Tag Archives: biological brain
04 Jul Cognitive Multi-Processing
Joe Roushar – July 2017 Divide and Conquer Swarm computing applications, with large numbers of autonomous agents are beginning to appear and deliver stunning results. The combination of autonomy, simple tasks and parallelism has great power. Today I’ll address parallel computing and models for breaking down computational problems. I will not address the question of autonomy today, […]
08 Sep Gnostic Learning Model
In prior posts in this section, and periodically in other sections of my blog, I have been exploring how humans learn, and how we might replicate those processes in computer software or (less likely) hardware. The context of the learning, or knowledge acquisition, upon which I choose to focus is language learning. While knowledge acquisition is much broader, this is an […]
31 Jul Modeling Non-Random Synaptic Links
I have discussed the different meanings of “random” in “The Random Hamlet” and “That’s so Random!” in which the mathematical definition presumes there is some not yet known law that governs the phenomenon, where other definitions suggest that randomness means that the phenomenon is not governed by any law. Remember our reference to Rosenblatt’s early contributions in […]
03 Jun Distributed Knowledge Representation
Distributed KR Knowledge representation schemata may be top-down, or bottom-up. In a top-down approach, one would define an area or domain of knowledge, then list the concepts within the domain and their attributes. Behaviors within the domain are often defined by that domain, and the concepts may not be able to exist independently. This approach helps enforce a […]
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 […]
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 […]
25 Apr Conceptual Paradigms
Conceptual Structure The different functions of language are acquired at different stages. As described by Sowa, these functions show why semantics can be considered a guide to how we learn syntax: “First, children associate words with concrete concepts used in perceiving the world and acting upon it. Next, they learn syntactic rules for mapping concepts […]
22 Apr Breaking Down Language Structure and Function
Grammar Acquisition Some experts suggest that a correctly formulated adult grammar is acquired by children on the basis of sentences they hear in their first few years (Pinker, 1984, p. 5). The proponents of this theory assume that a young child perceives sentence structure or is able to detect elements of grammatical structure – a […]
16 Apr From Concept to Communication
Yorrick’s First Concepts A conceptually structured model of learning might suggest that Yorrick, or any other human, first acquires concepts, and later, a vehicle for communicating concepts: language. During Yorrick’s early development, his concepts are linked entirely to physical sensations and perceptions: hunger, soreness, the sucking instinct, and the like. One of the first discoveries […]
29 Mar Is Anything True or False
I like to use pictures in my posts. The more evocative they are, the better. Why? Because they may trigger brain activity in areas that may be otherwise untouched by my writing. In other posts, I speak of this brain activity as “patterns of activation” (Understanding, Vision, Enchanted, Flow). If we think in patterns (Tou 1974), […]