Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
This paper describes the architecture of an agent-based
music service that generates dynamic playlists based on
suggestions from multiple users. The system employs a
number of agents capable of autonomy, mobility,
scalability, collaboration and platform independence. In
the system, agents are classified into two groups:
requesters and music service team. Requesters work on
behalf of their users, and bring music suggestions from
the users to a DJ agent (DJ) which is part of the service
team. The DJ has a reasoning component responsible for
music selection and negotiation.
Music selection is the result of negotiation among agents
in sealed-bid auctions. The bidding strategy is specified
by users. The amount of a bid implies the value of a song
for a specific user; the DJ will evaluate this amount to
determine the winner of the auction, whose song will be
placed on the playlist. All agents interact with each other
using an interaction/negotiation protocol, through agent
messaging.
A proof of concept implementation of this architecture
shows that agents in the A-DJ system automatically
perform tasks and collaborate with each other under the
proposed protocol. The implementation appears to be
scalable up to approximately 800 customers on a generalpurpose
computer system.
