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QuoteRef: sowaJF_1984

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ThesaHelp:
references sa-sz
Topic:
meaning vs. reference
Topic:
set definition by extension or intension
Topic:
analytic truth
Topic:
empirical truth
Topic:
database as a model of reality
Topic:
primitive data types of a language
Topic:
taxonomy
Topic:
reductionism
Topic:
natural language as a system
Group:
natural language
Topic:
thesaurus and information retrieval
Topic:
history of computers
Topic:
what is a computer
Topic:
intelligent machines
Topic:
objects as a set of attributes
Topic:
meaning by use
Topic:
icons for a user interface
Topic:
sense perception
Topic:
abstraction by name
Topic:
semantic networks
Topic:
knowledge as interrelated facts
Topic:
symbolic representation
Topic:
discrete vs. continuous
Topic:
natural language as communication
Topic:
words in natural languages
Topic:
meaning of words
Topic:
abstraction as part of language
Topic:
limitations of artificial intelligence and cognitive science
Topic:
recognition
Topic:
language and life as a game
Group:
grammar
Topic:
writing
Topic:
philosophy of mind
Topic:
proper names
Topic:
graphs
Topic:
structured flow diagram
Topic:
set construction
Topic:
open systems
Topic:
problem of classifying information
Topic:
mental models, consistency, and interface metaphors
Topic:
design for change
Topic:
information retrieval with an index
Topic:
abstraction
Topic:
models of reality
Topic:
people vs. computers
Topic:
consciousness

Reference

Sowa, J.F. , "Conceptual Structures: Information processing in mind and machine", Reading, Massachusetts, Addison-Wesley, 1984. Google

Quotations
10 ;;Quote: the intension of a word is meaning in semantic memory while its extension is the corresponding set of things
12 ;;Quote: an analytic statement follows from intensions; a synthetic statement is verified with extensions
13 ;;Quote: databases use extension (database entities) and intension (database constraints)
13+;;Quote: a statement about a database is analytic if it follows from constraints and synthetic if need to query the database
13 ;;Quote: Aristotle defined categories for the primitive concepts (e.g., relation, time); build concepts from general type (genus) and differentia
13+;;Quote: the intension of a complex concept may be defined by more primitive concepts
14 ;;Quote: reductionism started by Lull in 13c; defined by Leibniz in his Universal Characteristic
14+;;Quote: Leibniz represented primitives as primes and other concepts by their products; universal dictionary for mapping concepts to numbers
14+;;Quote: Leibniz invented first calculating machine; for manipulating concepts
15 ;;Quote: Wittgenstein--ordinary words like game have no common properties; instead games share a family resemblance
15+;;Quote: Wittgenstein--meaning of a word is its use in the language
27 ;;Quote: an icon is a temporary record of sensory input that lasts 1/4 second; e.g., movies and holding words across eye fixations
28 ;;Quote: a visual schema is a pattern of percepts from previous experience that are used to build models for interpreting new experience
28 ;;Quote: before the discovery of chromosomes, they did not appear in published drawings of cell nuclei
28 ;;Quote: hearing and touch also rely on percepts and icons (8 seconds and 20 seconds resp.); none for olfaction
31 ;;Quote: the brain searches percepts for ones that match parts of a new sensory icon
38 ;;Quote: thoughts without symbols fly away in the wind
38 ;;Quote: conceptual graphs are a universal, language-independent deep structure; a concept is a node of the graph, a unit of knowledge
39 ;;Quote: a concept is a unit, i.e., it is discrete; e.g., easier to remember discrete relationships than continuous quantities
40 ;;Quote: speech has a continuous range of dynamics for expressing emotions (also primates)
40+;;Quote: speech uses discrete words or morphemes for expressing concepts
41 ;;Quote: emotional words and words for value judgments change rapidly in a language
42 ;;Quote: AI concentrates on discrete aspects of intelligence while AI critics concentrate on the continuous aspects
45 ;;Quote: a master chess player has between 25,000 and 100,000 schemata; similar to an educated person's vocabulary
45 ;;Quote: a game is an artificial realization of what language offers in a natural form
48 ;;Quote: oral poetry is like a second grammar that operates with the primary grammar of a language
53 ;;Quote: short-term memory may hold pointers to previously stored memories; can not hold unencoded images
61 ;;Quote: Mozart saw all of piece at a single glance, like a beautiful painting; heard all at once
85 ;;Quote: all human languages distinguish proper names from common nouns; names learned very quickly; fundamental to identification
138 ;;Quote: Pierce--existential graphs, e.g., negation as a cut in a sheet of assertion; like Brown's Laws of Form
181 ;;Quote: a model theory should permit incomplete and inconsistent worlds; need to localize inconsistencies
217 ;;Quote: every human language standardizes on a few dozen phonemes even though humans can produce an infinity of sounds
217 ;;Quote: phonemes form a highly structured system; if one is lost in a dialect, all the others are shifted
217 ;;Quote: an exhaustive classification is impossible; always new, unanticipated concepts
271 ;;Quote: a few dozen analogies account for most of the metaphors in everyday speech
278 ;;Quote: with conventional programming, every new fact requires a change in the program; e.g., the post office changing the ZIP code length
288 ;;Quote: keyword searches both preferred and performed better than a menu system based on Dewey Decimal numbers
345 ;;Quote: concepts can accurately represent man-made structures that originated as concepts; e.g., chess
345 ;;Quote: since the world is a continuum, a network of concepts is at best a workable approximation
356 ;;Quote: mental concepts are not definable in neural terms; totally different systems of description


Related Topics up

ThesaHelp: references sa-sz (237 items)
Topic: meaning vs. reference (49 items)
Topic: set definition by extension or intension (18 items)
Topic: analytic truth (51 items)
Topic: empirical truth (44 items)
Topic: database as a model of reality (25 items)
Topic: primitive data types of a language (31 items)
Topic: taxonomy (16 items)
Topic: reductionism (51 items)
Topic: natural language as a system (43 items)
Group: natural language   (16 topics, 531 quotes)
Topic: thesaurus and information retrieval (29 items)
Topic: history of computers (66 items)
Topic: what is a computer (62 items)
Topic: intelligent machines (28 items)
Topic: objects as a set of attributes (39 items)
Topic: meaning by use (58 items)
Topic: icons for a user interface (23 items)
Topic: sense perception (52 items)
Topic: abstraction by name (29 items)
Topic: semantic networks (42 items)
Topic: knowledge as interrelated facts (23 items)
Topic: symbolic representation (26 items)
Topic: discrete vs. continuous (47 items)
Topic: natural language as communication (29 items)
Topic: words in natural languages (40 items)
Topic: meaning of words (21 items)
Topic: abstraction as part of language (18 items)
Topic: limitations of artificial intelligence and cognitive science (64 items)
Topic: recognition (50 items)
Topic: language and life as a game (30 items)
Group: grammar   (8 topics, 180 quotes)
Topic: writing (32 items)
Topic: philosophy of mind (74 items)
Topic: proper names (35 items)
Topic: graphs (18 items)
Topic: structured flow diagram (36 items)
Topic: set construction (20 items)
Topic: open systems (32 items)
Topic: problem of classifying information (41 items)
Topic: mental models, consistency, and interface metaphors (49 items)
Topic: design for change (75 items)
Topic: information retrieval with an index (32 items)
Topic: abstraction (62 items)
Topic: models of reality (33 items)
Topic: people vs. computers (54 items)
Topic: consciousness (57 items)

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