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2009 13th International Conference on Computer Supported Cooperative Work in Design
A learning agent to help drive vehicles
Santiago, Chile
April 22-April 24
ISBN: 978-1-4244-3534-0
Andre Pinz Borges, Graduate Program in Computer Science (PPGIa), Pontifical Catholic University of Paraná, Brazil
Richardson Ribeiro, Dept. of Statistical, University of Contestado, Brazil
Braulio C. Avila, Graduate Program in Computer Science (PPGIa), Pontifical Catholic University of Paraná, Brazil
Fabricio Enembreck, Graduate Program in Computer Science (PPGIa), Pontifical Catholic University of Paraná, Brazil
Edson E. Scalabrin, Graduate Program in Computer Science (PPGIa), Pontifical Catholic University of Paraná, Brazil
This paper presents the development of an intelligent agent used to assist vehicle drivers. The agent has a set of resources to generate its action policy: road and vehicle features and a knowledge base containing conduct rules. The perception of the agent is ensured by a set of sensors, which provide the agent with data such as speed, position and conditions of the brakes. The main agent behaviour is to carry out action plans involving: increase, maintain or reduce speed. The main effort of this research was the induction of conduct rules from data of previous trips. These rules form a classifier used for the selection of actions forming the conduction plan. Results observed with the experiments have showed that the proposed classifier increases the efficiency throughout the conduction of vehicles.
Citation:
Andre Pinz Borges, Richardson Ribeiro, Braulio C. Avila, Fabricio Enembreck, Edson E. Scalabrin, "A learning agent to help drive vehicles," cscwd, pp.282-287, 2009 13th International Conference on Computer Supported Cooperative Work in Design, 2009
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