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International Conference on Electronics, Information and Communication Engineering (EICE 2012)

By
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859971
No. of Pages:
1008
Publisher:
ASME Press
Publication date:
2012

A series of two reports are presented to this conference. The aim of the series is to demonstrate that Control Network Programming, respectively Spider, can be used as an excellent environment for teaching and learning both non-determinism and randomization. More specifically, the emphasis is on CNP implemented models and algorithms typically studied in courses on the Computation theory and Artificial intelligence for students in computing programs. While the focus of first of the reports was using CNP in teaching and learning the concept of non-determinism, the current presentation addresses probabilistic computation models and randomized algorithms.

Abstract
Keywords
Introduction
1 Randomness
2 (Lack of) Software Tools for Teaching Randomization
3 CNP in Teaching Randomization
Implementing Randomized Models in Computation Theory and Algorithm Design
Teaching Randomization in Artificial Intelligence — Randomized Hill-Climbing Search Strategies
Teaching Randomization in Artificial Intelligence — Game Tree Evaluation
Conclusion
References
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