Name
Abstract | ||
|---|---|---|
We present an open multiagent architecture for intelligent collaborative information systems based on the concepts of cognitive agents and machine learning. We assume a double hypothesis: (i) agents collaborate to reach their goals; (ii) agents can find and interact with other agents in a network. This assumption implies specialized services that have as functions: (a) relate the needs of user agents with the services of supplier agents; (b) integrate several answers in order to produce better results; (c) send regular notification to user agents about changes in the world. The location of such services depends on the architecture one adopts. We focus on the definition of architecture able to dynamically integrate new agents into the system. Thus, agents shall have machine learning capabilities inherited from a generic agent. An open architecture brings some benefits to the system performance such as adaptability, availability of services, incremental development and improvement of lifetime. System proactive capabilities may extend the knowledge human users have about the process. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-25958-9_6 | ADVANCED DISTRUBUTED SYSTEMS |
Keywords | Field | DocType |
information system,incremental development,system performance,user agent,open architecture,machine learning | Information system,Adaptability,Architecture,Iterative and incremental development,Open architecture,Computer science,Agent architecture,Cognitive agent,User agent,Distributed computing | Conference |
Volume | ISSN | Citations |
3061 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 15 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Edson Emílio Scalabrin | 1 | 36 | 14.52 |
| Deborah R. Carvalho | 2 | 171 | 11.64 |
| Elaini Simoni Angelotti | 3 | 0 | 0.68 |
| Hilton De Azevedo | 4 | 6 | 1.52 |
| Milton Ramos | 5 | 0 | 0.34 |