If not turing's test, then what?

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

If it is true that good problems produce good science, then it will be worthwhile to identify good problems, and even more worthwhile to discover the attributes that make them good problems. This discovery process is necessarily empirical, so we examine several challenge problems, beginning with Turing's famous test, and more than a dozen attributes that challenge problems might have. We are led to a contrast between research strategies - the successful "divide and conquer" strategy and the promising but largely untested "developmental" strategy - and we conclude that good challenge problems encourage the latter strategy.

Original languageEnglish (US)
Pages (from-to)61-67
Number of pages7
JournalAI Magazine
Volume26
Issue number4
StatePublished - Dec 2005
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence

Cite this

If not turing's test, then what? / Cohen, Paul R.

In: AI Magazine, Vol. 26, No. 4, 12.2005, p. 61-67.

Research output: Contribution to journalArticle

Cohen, PR 2005, 'If not turing's test, then what?', AI Magazine, vol. 26, no. 4, pp. 61-67.
Cohen, Paul R. / If not turing's test, then what?. In: AI Magazine. 2005 ; Vol. 26, No. 4. pp. 61-67.
@article{7f6578ba6b2843cc8fbf9a13f4b1cd48,
title = "If not turing's test, then what?",
abstract = "If it is true that good problems produce good science, then it will be worthwhile to identify good problems, and even more worthwhile to discover the attributes that make them good problems. This discovery process is necessarily empirical, so we examine several challenge problems, beginning with Turing's famous test, and more than a dozen attributes that challenge problems might have. We are led to a contrast between research strategies - the successful {"}divide and conquer{"} strategy and the promising but largely untested {"}developmental{"} strategy - and we conclude that good challenge problems encourage the latter strategy.",
author = "Cohen, {Paul R}",
year = "2005",
month = "12",
language = "English (US)",
volume = "26",
pages = "61--67",
journal = "AI Magazine",
issn = "0738-4602",
publisher = "AI Access Foundation",
number = "4",

}

TY - JOUR

T1 - If not turing's test, then what?

AU - Cohen, Paul R

PY - 2005/12

Y1 - 2005/12

N2 - If it is true that good problems produce good science, then it will be worthwhile to identify good problems, and even more worthwhile to discover the attributes that make them good problems. This discovery process is necessarily empirical, so we examine several challenge problems, beginning with Turing's famous test, and more than a dozen attributes that challenge problems might have. We are led to a contrast between research strategies - the successful "divide and conquer" strategy and the promising but largely untested "developmental" strategy - and we conclude that good challenge problems encourage the latter strategy.

AB - If it is true that good problems produce good science, then it will be worthwhile to identify good problems, and even more worthwhile to discover the attributes that make them good problems. This discovery process is necessarily empirical, so we examine several challenge problems, beginning with Turing's famous test, and more than a dozen attributes that challenge problems might have. We are led to a contrast between research strategies - the successful "divide and conquer" strategy and the promising but largely untested "developmental" strategy - and we conclude that good challenge problems encourage the latter strategy.

UR - http://www.scopus.com/inward/record.url?scp=30144434199&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=30144434199&partnerID=8YFLogxK

M3 - Article

VL - 26

SP - 61

EP - 67

JO - AI Magazine

JF - AI Magazine

SN - 0738-4602

IS - 4

ER -