The Handbook of Artificial Intelligence, Volume 1

Barr, Avron; Feigenbaum, Edward A.; Roads, Curtis

doi:10.2307/3680201

Cited by 105 publications

(81 citation statements)

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“…Bluetooth as a name could have come from many places around the time of its creation. Blue lasers and LED's were the high-tech discoveries that were being 1 The 48 prominent AI research projects of the time are described in the1983 AI handbook [22]. The names of these research projects can be classified as, A: a person's name, B: connotative/whimsical or arbitrary, or C: functional.…”

Section: Scientific Puns: Play On Words and Definitionsmentioning

confidence: 99%

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Beyond Rhetoric to Poetics in IT Invention

Gentès

Selker

2013

Human-Computer Interaction – INTERACT 2013

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Abstract. Two kinds of discourse typically define scientific productions: logical (epistemology of science) and rhetorical (sociology of science). We suggest that research projects can also be analyzed as poetical productions. While rhetorical strategies anticipate controversies and deploy techniques to defend projects and findings, poetical practices deepen the cultural and symbolic dimensions of technologies. Based on use cases that show different ways the poetics come to bear on research and development projects in information technology (IT), we discuss the play on words and images and how they contribute to the definition and creation of a new technology within research projects. Three cases of poetical practices are presented: naming technologies, christening projects, and designing logos. We give examples of naming and project identity formation to underscore how such a poetic stance impacts projects. Images and words help people imagine what the technology is about by giving imaginary traits and cultural substance. This paper's analysis is a call for further work exposing the value of conscious use of poetical approaches to deepen the framing of IT projects.

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Section: Scientific Puns: Play On Words and Definitionsmentioning

confidence: 99%

“…In 1982, the three volumes AI Handbook attempted to present all of published AI projects of the time [22]. At that time the corpus consisted of 50 or so named research systems 1 .…”

Section: Scientific Puns: Play On Words and Definitionsmentioning

confidence: 99%

Beyond Rhetoric to Poetics in IT Invention

Gentès

Selker

2013

Human-Computer Interaction – INTERACT 2013

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“…Macro-operators in STRIPS (see Barr & Feigenbaum, 1981) and chunking in SOAR (Laird et al, 1986) also construct temporal hierarchies. Macro-operators are constructed automatically to memorize frequently occurring sequences.…”

Section: Hierarchical Adaptive Systemsmentioning

confidence: 99%

Untitled

Ring¹

1997

Machine Learning

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Abstract.Continual learning is the constant development of increasingly complex behaviors; the process of building more complicated skills on top of those already developed. A continual-learning agent should therefore learn incrementally and hierarchically. This paper describes CHILD, an agent capable of Continual, Hierarchical, Incremental Learning and Development. CHILD can quickly solve complicated non-Markovian reinforcementlearning tasks and can then transfer its skills to similar but even more complicated tasks, learning these faster still.

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“…Although the first examples of expert systems packaged softwares appeared in the middle of 1960s such as Dendral (1965), Hearsay (1971), etc, in fact the works on this subject started with the study in "post production rules" by McCulloch and Pitts in early 1940s (1,3). On the other hand, the use of computers in medical decision making began in the early 1960s' with the implementation of programs focusing on the diagnosis part of the consultation.…”

Section: Introductionmentioning

confidence: 99%

“…The expert system which is a branch of artificial intelligence, was defined first time by Prof Edward Feigenbaum who has assumed to be pioneer in this subject, as "an intelligent computer program that uses knowledge and inference procedures to solve problems that are difficult enough to require significant human expertise for the solution" (1)(2)(3). Although the first examples of expert systems packaged softwares appeared in the middle of 1960s such as Dendral (1965), Hearsay (1971), etc, in fact the works on this subject started with the study in "post production rules" by McCulloch and Pitts in early 1940s (1,3).…”

Section: Introductionmentioning

confidence: 99%