DocumentCode :
526356
Title :
Idea generation algorithm based systems
Author :
Jogalekar, Usha A. ; Mangla, Akhil
Author_Institution :
Dept. of Comput. Eng., Smt.Kashibai Navale Coll. of Eng., Pune, India
Volume :
7
fYear :
2010
fDate :
9-11 July 2010
Firstpage :
14
Lastpage :
17
Abstract :
An idea is a collection of thoughts, plan and images that flash through the brain. The factors such as stress, need, etc. influence the idea generation. If we consider the brain to be a machine present in our body, then thinking in the reverse way we can imply that a machine can also generate ideas. Machines are meant to serve the users. Developing such an Algorithm, which helps machine in generating its own sets of ideas, would give the machine´s “mind map”. Idea generation by machines will help it to serve any application defined by the users. Let the ideas be the selected set stored in a “Database” and the storage to the database is a selection from a “Trained Network”. Later, these ideas may be retrieved from the database as pre the query for an application like thematic colour for background, filling up blank space, Cryptography, etc. In the final stages, the algorithm may use a trained network such as the “Neural Network” which can be implemented to generate the final idea.
Keywords :
artificial intelligence; idea generation algorithm; lateral thinking; query; random generator; Databases; Fires; Knowledge engineering; Stress; idea generation algorithm; lateral thinking; parallel processors; random generator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
Type :
conf
DOI :
10.1109/ICCSIT.2010.5563658
Filename :
5563658
Link To Document :
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