Title :
Voting methods for multiple autonomous agents
Author_Institution :
Dept. of Comput. Sci., Calgary Univ., Alta., Canada
Abstract :
The use of many diverse algorithms simultaneously applied to a single problem improves the robustness of the solution. This is certainly true of handprinted character recognition. The problem addressed here is that of combining the results from many agents to give a single result that represents a synthesis of the component agents
Keywords :
cooperative systems; handwriting recognition; software agents; component agents; diverse algorithms; handprinted character recognition; multiple autonomous agents; robustness; voting methods; Artificial intelligence; Autonomous agents; Character recognition; Computer science; Computer vision; Laboratories; Merging; Robustness; Voting;
Conference_Titel :
Intelligent Information Systems, 1995. ANZIIS-95. Proceedings of the Third Australian and New Zealand Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-86422-430-3
DOI :
10.1109/ANZIIS.1995.705727
