Abstract
Norms have been extensively studied to coordinate multi-agent systems,
and the literature has investigated two general approaches to
norm synthesis: off-line (synthesising norms at design-time) and
on-line (run-time synthesis). On-line synthesis is generally recognised
to be appropriate for open systems, where aspects of the
system remain unknown at design-time. In this paper we present
LION, an algorithm aimed at synthesising liberal normative systems.
LION’s normative systems respect the agents’ autonomy to
the greatest possible extent, constraining their behaviour when only
necessary to avoid undesirable system states. LION’s norm synthesis
is also driven by the need to construct compact normative systems.
The key to the success of LION in this multi-objective synthesis
process is that it learns about and exploits norm synergies. More
precisely, LION can learn when norms are either substitutable or
complementary. We show empirically that LION significantly outperforms
the state of the art by synthesising normative systems that
are more liberal while maintaining representation compactness.
and the literature has investigated two general approaches to
norm synthesis: off-line (synthesising norms at design-time) and
on-line (run-time synthesis). On-line synthesis is generally recognised
to be appropriate for open systems, where aspects of the
system remain unknown at design-time. In this paper we present
LION, an algorithm aimed at synthesising liberal normative systems.
LION’s normative systems respect the agents’ autonomy to
the greatest possible extent, constraining their behaviour when only
necessary to avoid undesirable system states. LION’s norm synthesis
is also driven by the need to construct compact normative systems.
The key to the success of LION in this multi-objective synthesis
process is that it learns about and exploits norm synergies. More
precisely, LION can learn when norms are either substitutable or
complementary. We show empirically that LION significantly outperforms
the state of the art by synthesising normative systems that
are more liberal while maintaining representation compactness.
| Original language | English |
|---|---|
| Title of host publication | AAMAS '15 Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems |
| Place of Publication | Richland |
| Publisher | International Foundation for Autonomous Agents and Multiagent Systems |
| Pages | 433-441 |
| Number of pages | 9 |
| ISBN (Print) | 978-1-4503-3413-6 |
| Publication status | Published - 4 May 2015 |
| Event | 2015 International Conference on Autonomous Agents and Multiagent Systems - Istanbul, Turkey Duration: 4 May 2015 → 8 May 2015 |
Conference
| Conference | 2015 International Conference on Autonomous Agents and Multiagent Systems |
|---|---|
| Country/Territory | Turkey |
| City | Istanbul |
| Period | 4/05/15 → 8/05/15 |
Keywords
- norms
- normative systems
- on-line norm synthesis