Computing Machinery, Surprise and Originality

Computing Machinery and Understanding

How are natural symbol systems best understood? Traditional "symbolic" approaches seek to understand cognition by analogy to highly structured, prescriptive computer programs. Here, we describe some problems the traditional computational metaphor inevitably leads to, and a very different approach to computation (Ramscar, Yarlett, Dye, Denny, & Thorpe, 2010; Turing, 1950) that allows these probl...

Computing Machinery and Intelligence

I propose to consider the question, “Can machines think?” This should begin with definitions of the meaning of the terms “machine” and “think.” The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words“machine”and “think” are to be found by examining how they are commonly used it is difficult to e...

Computing Machinery and Intelligence A.M. Turing

I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words "machine" and "think" are to be found by examining how they are commonly used it is difficult to...

and Association for Computing Machinery 1

Genomic comparisons such as SNP detection, structural variation prediction, and assessments of diversity and divergence are key for advancing both basic biological science and applied research in areas such as global health, agriculture, and energy. These comparisons are based on computational steps such as genome assembly that may introduce ambiguity and/or errors. Currently, genome comparison...

Declaration of Originality