Spontaneous learning based on fuzzy catastrophe

Author

Ormos, L.

Author_Institution

Dept. of Traffic Sci. & Inf. Technol., Coll. of Nyiregyhaza, Nyiregyhaza

fYear

2009

fDate

30-31 Jan. 2009

Firstpage

75

Lastpage

78

Abstract

Main task before training or teaching a device having artificial intelligence is how to make communication among the environment and AI device. During training or teaching process, AI has to decide what kind of features of environment are necessary to sense and use in activities, and what kind of actuators must be set for tuning environmental features to reach the required results. Spontaneous learning by environment recognition is based on ldquointellectual capabilityrdquo of AI device to set itself up to the required task.

Keywords

fuzzy set theory; learning (artificial intelligence); artificial intelligence; environment recognition; fuzzy catastrophe; intellectual capability; spontaneous learning; Agricultural engineering; Artificial intelligence; Communication system traffic control; Education; Educational institutions; Fuzzy control; Information technology; Learning; Process control; Sensor phenomena and characterization;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Machine Intelligence and Informatics, 2009. SAMI 2009. 7th International Symposium on

Conference_Location

Herl´any

Print_ISBN

978-1-4244-3801-3

Electronic_ISBN

978-1-4244-3802-0

Type

conf

DOI

10.1109/SAMI.2009.4956612

Filename

4956612