Name
Abstract | ||
|---|---|---|
Agent-based software engineering has been proposed as a means of mastering the complexity associated with the development of large-scale distributed systems. However, agent-oriented software engineering has not been widely adopted, mainly due to lack of modeling languages that are expressive and comprehensive enough to represent relevant agent-related abstractions and support the refinement of design models into code. Most modeling languages do not define how these abstractions interact at run-time, but many software applications need to adapt their behavior, react to changes in their environments dynamically, and align with some form of individual or collective normative application behavior (e.g., obligations, prohibitions). In this paper, we propose a conceptual framework to developing adaptive normative agents. We believe the proposed approach will advance the state-of-the-art in agent systems so that software technologies for dynamic, adaptive, norm-based applications can be developed and implemented. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-59294-7_4 | Lecture Notes in Artificial Intelligence |
Keywords | DocType | Volume |
Multiagent systems,Software modeling,Software adaptation,Normative systems | Conference | 10207 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marx L. Viana | 1 | 2 | 2.73 |
| Paulo S. C. Alencar | 2 | 393 | 45.89 |
| Carlos Lucena | 3 | 589 | 41.51 |