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Twiddling Bits

delete2025-07-25
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PRE
AI
P
Peter R. Killeen *
DOI:10.1007/s40614-025-00467-zdelete
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Abstract

Abstract

En 中文
Among the many excellent presentations and posters of this conference, I was tasked with making sense of two of the most esoteric. This is my meat and potatoes. I hasten to add that they are not esoteric because they are peripheral; au contraire, they are central. They are only esoteric because you have to be an intellectual searcher to delve into them. In the face of them, they are formidable; but, relax, and contemplate them, and they are most intellectually gratifying. McDowell shows us how, through the same sort of selection processes that both animals and their habits are subject to, the basic laws of behavior arise. This is foundational—where do our laws come from?—McDowell gives us a glimpse. Cox tells us what those laws do; or don’t. He demonstrates these in the contexts that matter—very large data sets form the world of action—where our cloistered predictions may be evaluated, and improved. His Natural Language Programming Machines provide visions of what we say and do that can only be seen at this higher level. If we are to move our field to higher relevance, this is the way.
Keywords:
Artificial organisms
Complex systems
Large language models
Natural language processing

Journal

P
Perspectives on Behavior Science
IF:
3.8
Papers:
91
Citations:
686

Organization

A
Arizona State University
Scholars:
2.7W
Papers: 2.5W
Citations: 4.2W
Cited Papers

Cited Papers

The Matching Law
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IF0
err2016-07-22
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PREAI
errMichael Davison; Dianne McCarthy
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Relational Frame Theory: A Post-Skinnerian Account of Human Language and Cognition
err2002-01-01
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PREAI
errYvonne Barnes-Holmes; Steven C. Hayes; Dermot Barnes-Holmes; Bryan Roche
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Verbal behavior.
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IF0
err1957-01-01
err0
PREAI
errB. F. Skinner
errShare
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Remembering Marvin Minsky
err2016-09-01
err0
PREAI
errForbus,Kenneth D.; Kuipers,Benjamin; Lieberman,Henry
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