Reliable Framework Architecture for Multi-Agents Systems Interaction

Multi-agents systems (MAS) are developed using a variety of architectures nowadays. These range from peer-to-peer to blackboard-like communication, from insecure distributed systems to complex security schemes, from those MAS using database to those using knowledge based information systems. Although a system’s architecture often has to be designed according to its specific application domain, we present in this paper a reliable MAS architecture suitable for most purposes in the e-business general domain. This framework combines the distributed nature of a multi-agent system with the security and encryption facilities provided by web servers, separating data from knowledge and encouraging the use of distributed data structures in a concurrent, scalable, transaction-safe and remote-event generator common area. Some notes on agent reputation assessment are also included. We also endow our agents with learning capabilities for two different aspects. Reinforcement Learning for bidding and a kind of Concept Learning technique for