Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CSCWD.2009.4968072 | CSCWD |
Keywords | Field | DocType |
database management systems,knowledge based systems,learning (artificial intelligence),pattern classification,road vehicles,conduct rule,historical database,intelligent agent,knowledge base,learning agent,machine learning,pattern classification,road vehicle feature,vehicle driving,Decision Systems,Intelligent Agent,Machine Learning | Remotely operated underwater vehicle,Intelligent agent,Motion control,Computer science,Control engineering,Artificial intelligence,Knowledge base,Classifier (linguistics),Distributed computing,Knowledge-based systems,Boosting (machine learning),Statistical classification,Machine learning | Conference |
Citations | PageRank | References |
5 | 0.87 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andre Pinz Borges | 1 | 5 | 1.21 |
| Richardson Ribeiro | 2 | 43 | 11.12 |
| Braulio C. Avila | 3 | 11 | 3.03 |
| Fabricio Enembreck | 4 | 34 | 4.92 |
| Edson E. Scalabrin | 5 | 13 | 2.75 |