Reliable framework architecture for Multi-Agent Systems interaction

• Type: Article in International Conference Proceedings Book
• Date: 2002

Authors

Eugénio Oliveira (Author) FEUP; Guilherme Pereira (Author) Other

Conference proceedings International

Title: Proceedings of the 7th International Conference on Computer Supported Cooperative Work in Design

Pages: 276-281

The 7th International Conference on Computer Supported Cooperative Work in Design

Rio de Janeiro, Brasil, 25 a 27 de Setembro 2002

Indexing

Scopus

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Computer engineering ; Physical sciences > Computer science > Informatics

Other information

Abstract (EN): 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 AIIAS 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 Concept Learning technique for building user profiles. Reinforcement Learning allows for agent adaptive bidding whereas Concept Learning is of key importance to agent service bundling. The main features of the proposed architecture are agent communication through a common area, remote user access through servlets with authentication and encryption, data/knowledge separation and agent reputation assessment using customer satisfaction values. The functionality of all the proposed multi-agent system features is illustrated through an agent-based Travel Services application (MASTAS).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6