Multi-agent system adaptation in a peer-to-peer scenario
Proceedings of the 2009 ACM symposium on Applied Computing
The MACODO middleware for context-driven dynamic agent organizations
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
The MACODO organization model for context-driven dynamic agent organizations
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Exploiting reusable organizations to reduce complexity in multiagent system design
AOSE'10 Proceedings of the 10th international conference on Agent-oriented software engineering
Towards a model of social coherence in multi-agent organizations
COIN@AAMAS'10 Proceedings of the 6th international conference on Coordination, organizations, institutions, and norms in agent systems
Using a two-level multi-agent system architecture
COIN@AAMAS'10 Proceedings of the 6th international conference on Coordination, organizations, institutions, and norms in agent systems
Genetic algorithm aided optimization of hierarchical multiagent system organization
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Design and modeling of the multi-agent robotic system: SMART
Robotics and Autonomous Systems
Overlay networks for task allocation and coordination in large-scale networks of cooperative agents
Autonomous Agents and Multi-Agent Systems
Information and Software Technology
Self-organization in an agent network: A mechanism and a potential application
Decision Support Systems
A multi-agent architectural solution for coherent distributed reconfigurations of function blocks
Journal of Intelligent Manufacturing
A cooperative multi-agent robotics system: Design and modelling
Expert Systems with Applications: An International Journal
Organizational design principles and techniques for decision-theoretic agents
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Biasing the behavior of organizationally adept agents: (extended abstract)
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Robust Regulation Adaptation in Multi-Agent Systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
| Hi-index | 0.00 |
The ability to create effective multi-agent organizations is key to the development of larger, more diverse multi-agent systems. In this article we present KB-ORG: a fully automated, knowledge-based organization designer for multi-agent systems. Organization design is the process that accepts organizational goals, environmental expectations, performance requirements, role characterizations, and agent descriptions and assigns roles to each agent. These long-term roles serve as organizational-control guidelines that are used by each agent in making moment-to-moment operational control decisions. An important aspect of KB-ORG is its efficient, knowledge-informed search process for designing multi-agent organizations. KB-ORG uses both application-level and coordination-level organization design knowledge to explore the combinatorial search space of candidate organizations selectively. KB-ORG also delays making coordination-level organizational decisions until it has explored and elaborated candidate application-level agent roles. This approach significantly reduces the exploration effort required to produce effective designs as compared to modeling and evaluation-based approaches that do not incorporate design expertise. KB-ORG designs are not restricted to a single organization form such as a hierarchy, and the organization designs described here contain both hierarchical and peer-to-peer elements. We use examples from the distributed sensor network (DSN) domain to show how KB-ORG uses situational parameters as well as application-level and coordination-level knowledge to generate organization designs. We also show that KB-ORG designs effective, yet substantially different, organizations when given different organizational requirements and environmental expectations.