Abstract (EN):
Standards have had much importance in different fields of research
in order to assure a certain quality of service in bilateral contracts.
More specifically, in multi-agent systems performance standards may be used
in order to articulate contracts among partners in environments dealing with
uncertainty. However, little effort has been made on how to ensure standards
compliance over time. In this work we put forward a learning-based mechanism
that attempts to maintain performance standards by applying incentives
and/or punishments to agents identified as specialised for certain tasks. We
present some empirical results supporting our approach.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
8
License type: