13 NOV 2015 by ideonexus

 Technology Enables IA, but Culture Must Evolve for It

Look at what intellect would be without writing or the printing press—these primitive technologies already make such a difference. Just think of what the latest computer technology will be able to do to further augment the intellect! But this is a non-sequitur: what makes writing and paper powerful is technology to some extent, but it is mostly the rich culture that grew up around it. Let’s look at writing first. The earlies extant samples of writing are Babylonian clay tablets contai...
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28 JUN 2013 by ideonexus

 The Bilingual Advantage in Computer Programmers

Like bilinguals, expert computer programmers successfully manage two or more separate lexicons, grammars and divergent concepts, avoiding inadvertent transfer between the two. Numerous studies of novice programmers indicate that they struggle to do achieve this division; transfer from natural language creates bugs (e.g. Soloway and Spohrer, 1989; Witschital, 1995). The present study therefore considers whether the “bilingual advantage” in executive control is found in computer programmers...
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Manifests in tasks involving executive function, but not in other bilingual tasks. More research needed.

19 JUN 2013 by ideonexus

 Lojban for Experimental Linquistics

Lojban is a predicate language, with no distinct nouns, verbs, or adjectives. What are the linguistic (communicative) properties of such a system? The answer has been partially explored through symbolic logic. But do people, when thinking linguistically, mimic in any way the processes of formal logic? What effects would a formal-logic– based language have on those linguistic thinking processes? Is the resulting language susceptible to the same analysis as natural language, in terms of the v...
Folksonomies: language artificial
Folksonomies: language artificial
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Natural languages lack the controls necessary for experimentation, but an artificial language works for testing Sapir–Whorf hypothesis.

08 APR 2013 by ideonexus

 Rational Potter Plots to Take Over the Magical World

Professor McGonagall undoubtedly knew every last detail of how you went about turning into a cat. But she seemed to have literally never heard of the scientific method. To her it was just Muggle magic. And she didn't even seem curious about what secrets might be hiding behind the natural language understanding of the Retrieval Charm. That left two possibilities, really. Possibility one: Magic was so incredibly opaque, convoluted, and impenetrable, that even though wizards and witches had ...
Folksonomies: science fantasy fan fiction
Folksonomies: science fantasy fan fiction
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Through science!

08 APR 2013 by ideonexus

 The Rules of Magic Don't Make Any Sense

Some children would have waited until after their first trip to Diagon Alley. "Bag of element 79," Harry said, and withdrew his hand, empty, from the mokeskin pouch. Most children would have at least waited to get their wands first. "Bag of okane," said Harry. The heavy bag of gold popped up into his hand. Harry withdrew the bag, then plunged it again into the mokeskin pouch. He took out his hand, put it back in, and said, "Bag of tokens of economic exchange." That time his hand came ou...
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Rational Potter experiments with a magical bag that will give him whatever he asks for and doesn't understand why it can understand some requests but not others.

02 JAN 2011 by ideonexus

 Natural Language Processing vs. Semantic Web

NLP works well statistically; the SW, in contrast, requires logic and doesn't yet make substantial use of statistics. Natural language is democratic, as expressed in the slogan 'meaning is use' (see Section 5.1 for more discussion of this). The equivalent in the SW of the words of natural language are logical terms, of which URIs are prominent. Thus we have an immediate disanalogy between NLP and the SW, which is that URIs, unlike words, have owners, and so can be regulated. That is not to sa...
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A short comparison of the difference between NLP and SW in terms of processing, algorithms, structure, and emergence. NLP is described as 'democratic', where the power of SW is that URIs 'have owners,' meaning they are a top-down construct. Perhaps this is the problem of the Semantic Web and why it may never catch on: the web favors emergent semantics and democratized development.