Active character technology based on neural networks Genetic Algorithms and AI

Type :

Term papers

Pages :

7 pages

Format :

.doc

Published date :

06/16/2009

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Summary :

 
 

Table of Contents Active character technology based on neural networks Genetic Algorithms and AI  Table of Contents

 
  1. Introduction
  2. Basic biological neuron
  3. Artificial neuron with weights
  4. Decision making: Firing rules
  5. Active character technology in multimedia & gaming
  6. Characters created virtually by Endorphine
  7. Virtual Stunt men, created using neural networks & genetic algorithms, replicating a fall
  8. Conclusion
  9. References

Abstract

A combination of neural networks genetic algorithms and conventional computing in Multimedia and Gaming industry has never been attempted before. Existing technologies operate on fixed databases and manipulate limited data that is bound by some logical algorithm. Even many of the AI based products don't implement intelligent thinking. Using a combination of AI,ANN genetic algorithms & conventional computers intelligent gaming characters and intelligent Virtual Stuntmen can be created that simulate a realistic atmosphere. Even though the technical implementation is difficult, the future is promising. This paper looks at the possibilities of such a complex system and its different components. Artificial neural networks are a very different paradigm of computing. Artificial neural networks are self-learning mechanisms, which don't require the traditional skills of a programmer. A few of these neuron-based structures, paradigms actually, are being used commercially.

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