In this book, we have discussed learning algorithms for different types of multiautomata systems. As we have mentioned at many places, learning automata would be useful in many applications involving decision making under uncertainty or learning parameter values based only on noisy measurements of objective function values etc. In Chapter 4 we have discussed at length one generic application area, namely, pattern classification. We have illustrated in that chapter, how different types of multiautomata methods can be employed for learning optimal pattern classifiers to suit different problem situations. In this chapter, we briefly indicate some other applications where learning automata are successfully employed.
KeywordsTime Slot Learning Automaton Burst Length Edge Segment Reward Probability
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