Effects Computers Research Paper

Effects Computers Research Paper-6
More than 830 figures and 150 tables accompany the text and provide a visual and intuitive opportunity for understanding the material.Description: The classic paper on Multics, the most ambitious operating system in the early history of computing.Difficult reading, but it describes the implications of trying to build a system that takes information sharing to its logical extreme.

More than 830 figures and 150 tables accompany the text and provide a visual and intuitive opportunity for understanding the material.

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Though this paper is one of the most influential in the field.

Description: One of the papers that started the field of on-line learning.

The ideas are important when trying to understand containment of malicious code, as well as aspects of trusted computing.

Description: The Unix operating system and its principles were described in this paper.

Description: LR parser, which does bottom up parsing for deterministic context-free languages.

Later derived parsers, such as the LALR parser, have been and continue to be standard practice, such as in Yacc and descendents.Description: The Colossus machines were early computing devices used by British codebreakers to break German messages encrypted with the Lorenz Cipher during World War II.Colossus was an early binary electronic digital computer.Description: This paper discusses the various arguments on why a machine can not be intelligent and asserts that none of those arguments are convincing.The paper also suggested the Turing test, which it calls "The Imitation Game" as according to Turing it is pointless to ask whether or not a machine can think intelligently, and checking if it can act intelligently is sufficient.Description: From the abstract: "The global data relationships in a program can be exposed and codified by the static analysis methods described in this paper.A procedure is given which determines all the definitions which can possibly reach each node of the control flow graph of the program and all the definitions that are live on each edge of the graph." Description: Formalized the concept of data-flow analysis as fixpoint computation over lattices, and showed that most static analyses used for program optimization can be uniformly expressed within this framework.Description: Decision Trees are a common learning algorithm and a decision representation tool.Development of decision trees was done by many researchers in many areas, even before this paper.(See history of AI.) Description: The first paper written on machine learning.Emphasized the importance of training sequences, and the use of parts of previous solutions to problems in constructing trial solutions to new problems.

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