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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/bfb002...
Part of book or chapter of book . 2005 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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An abstract machine simulator

Authors: Moon-Chuen Lee;

An abstract machine simulator

Abstract

This paper introduces an Abstract Machine Simulator (AMS) for assisting students to learn abstract machines such as finite automata, Mealy machines and Moore machines. With AMS, topics related to abstract machines which are often included in introductory courses on Theory of Computation can be mastered more easily since it allows the learner to simulate any machine s/he can think of. The program supports learning by discovery. Through interacting with a simulation, the learner can acquire indepth knowledge about the nature of the machine. The general problem-solver approach adopted in developing the program can be employed to construct other simulation and animation based CAI applications. The program also demonstrates the effectiveness of a multi-paradigm programming approach to the implementation of tutoring programs.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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