Combining many searches in the FAHRENHEIT discovery system

Żytkow, Jan M.

doi:10.1016/b978-0-934613-41-5.50032-5

Cited by 44 publications

(25 citation statements)

References 1 publication

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“…The numeric laws generated by IDS are similar to those found by BACON (Langley, Bradshaw, & Simon, 1983), ABACUS (Falkenhainer & Michalski, 1986), and FAHRENHEIT (Zytkow, 1986;Zytkow et al, 1990), but there is an important difference, which suggests a third response to our question about representation. Earlier numeric discovery systems found quantitative laws and conditions on them, but their statement of the laws contained little information about the structure or physical situation in which they occurred.…”

Section: Numeric Relationssupporting

confidence: 52%

Untitled

Nordhausen¹,

Langley²

1993

Machine Learning

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Abstract. In this article we present a framework that integrates three aspects of empirical discovery-the formation of taxonomies, the generation of qualitative laws, and the detection of numeric relations. We specify a control structure that integrates these component processes, embedding qualitative discovery within taxonomy formation, and embedding numeric discovery within both of these activities. We also describe the framework's basic representation and organization of knowledge, which combines elements from recent work in machine discovery and qualitative physics. In addition, we describe IDS, a running system that instantiates this framework, and report its behavior on problems from the history of science. Finally, we discuss some limitations of the system as revealed by experimental studies, and propose some directions for future research.

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Section: Numeric Relationssupporting

confidence: 52%

Untitled

Nordhausen¹,

Langley²

1993

Machine Learning

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“…1983), ABACUS (Falkenhainer & Michalski, 1986), and FAHR~NHEIa" (~ytkow, 1986;Zytkow et al, 1990), but there is an important difference, which suggests a third response to our question about representation. Earlier numeric discovery systems found quantitative laws and conditions on them, but their statement of the laws contained tittle information about the structure or physical situation in which they occurred.…”

Section: Numeric Relationsmentioning

confidence: 99%

An integrated framework for empirical discovery

Nordhausen

Langley

1993

Mach Learn

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Abstract. In this article we present a framework that integrates three aspects of empirical discovery--the formation of taxonomies, the generation of qualitative laws, and the detection of numeric relations. We specify a control structure that integrates these component processes, embedding qualitative discovery within taxonomy formation, and embedding numeric discovery within both of these activities. We also describe the framework's basic representation and organization of knowledge, which combines elements from recent work in machine discovery and qualitative physics. In addition, we describe IDS, a running system that instantiates this framework, and report its behavior on problems from the history of science. Finally, we discuss some limitations of the system as revealed by experimental studies, and propose some directions for future research.

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“…The most pressing of these revolved around identifying the scope of the discovered laws and generating experiments in an intelligent manner. In this section, we describe Zytkow's FAHRENHEIT (Zytkow, 1987;Koehn Zytkow, 1988), a successor to BACON that responds to these issues.…”

Section: The Fahrenheit Systemmentioning

confidence: 99%