Distributed rational decision making
Multiagent systems
Software Development Kit for Multi-agent Systems Design and Implementation
CEEMAS '01 Revised Papers from the Second International Workshop of Central and Eastern Europe on Multi-Agent Systems: From Theory to Practice in Multi-Agent Systems
Multi-agent Architecture for Knowledge Fusion from Distributed Sources
CEEMAS '01 Revised Papers from the Second International Workshop of Central and Eastern Europe on Multi-Agent Systems: From Theory to Practice in Multi-Agent Systems
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Knowledge Management to Support Situation-aware Risk Management in Autonomous, Self-managing Agents
Proceedings of the 2005 conference on Self-Organization and Autonomic Informatics (I)
Competence-based architecture for knowledge logistics in project-oriented organization
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Hi-index | 0.00 |
A research carried out in the framework of the knowledge logistics lies in the base of the paper. As a result of the research an approach addressing the knowledge logistics problem was developed. The approach considers the problem as a problem of configuring a knowledge source network. The network is assumed to consist of distributed heterogeneous knowledge sources. An implementation of the approach has been put into practice through its realization in the system "KSNet". Distribution and heterogeneity of the knowledge sources gives a distributed and scalable character to the problem of the network configuring. Such nature of the problem causes for the system to have a multi-agent architecture. The paper presents a prototype of the developed multi-agent community implementation in the system "KSNet" and a constraint-based protocol designed for the agents' negotiation. Application of the community to coalition-based operations support and the protocol is illustrated via a case study based on the Binni scenario.