Category Archives: Cognitive Science
18 Apr Irrational Language Rules
Language and Utterances Now let’s narrow the focus from communication to language. To avoid confusion, let it be clear from the outset that this discussion is not concerned with computer-programming languages, but “natural languages.” Computer languages have built-in or “prescriptive” regularity called a formal syntax. They are easy to describe, and they are obedient to […]
17 Apr Learning by Repetition
Frequency and Exposure For the very young, language learning requires mental gymnastics. Most theories of language learning refer to the fact that the frequency of repetition of a word or structure pattern determines the strength of its acquisition. In this context, there may be some threshold of frequency which, once reached, will result in the […]
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 […]
14 Apr Translation: Inverted Communication
Lately I’ve been concentrating on modeling communicative skills. Whether speaking, signing, gesturing or writing, we begin with intent and wrap symbols around the intent or message to encode it. Translating and encrypting start with a fully encoded message, and unwrap it, before rewrapping it in a different form that is intended to preserve the original intent. Translation is an application […]
12 Apr Making a Pattern of Comprenshion
In A Timeless Way of Building, Christopher Alexander points out that “…no pattern is an isolated entity. Each pattern can exist in the world only to the extent that it is supported by other patterns: the larger patterns in which it is embedded, the patterns of the same size that surround it, and the smaller […]
11 Apr Are You My Grammar?
Quest for a Formalism Many grammar formalisms have been proposed for use with computers. Many existing formalisms have been borrowed for computer applications. Currently, one of the most popular grammar theories among linguists is called Government and Binding (Chomsky, 1986). This theory has been used in some computerized language-analysis programs, but poor outcomes have demonstrated that it is […]
09 Apr Abstract Contexts and Fuzzy Reasoning
We do not yet know how we remember things, nor do we know how we use remembered things in reasoning. The amazing feedback loops of afferent and efferent fibers between different layers of the cortex give us some amazing clues (Hawkins 2004). Today’s discussion of abstract contexts and fuzzy reasoning is intended as a bridge […]
08 Apr Symmetrical Logic and Lineage
Symmetry may not immediately appear as a principle of logic or reason, but it should. In mathematics we learn the commutative and associative properties of addition and multiplication. These represent a mirror-like symmetry. Symmetry, or invariance against change, is a fundamental principle of physics and an underlying assumption driving some logical decisions. Causality, for example, […]
07 Apr A Good Excuse for Heuristic Logic
Dichotomous logic is useful for reasoning about form or the way things are. Function, or cause and effect, however, is fuzzier because observation may not be enough to exclude other processes that lead to the same result. Heuristic logic applies to function instead of form, prescribing actions based facts. Heuristics often operate at a relatively […]
05 Apr Knowing About Agents and Instruments
Cause and Effect Causal knowledge can be learned by experience, as described in our friend Yorrick’s early experiences with the source of good feelings (Section 4: Seeds of Knowledge). The process of learning from experience is empirical and very fuzzy, meaning it is difficult to describe or replicate the learning process artificially. Cause can also […]