The Z notation: a reference manual
The Z notation: a reference manual
On agent-based software engineering
Artificial Intelligence
Understanding agent systems
Constraining autonomy through norms
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Infrastructure Support for Agent-Based Development
Selected papers from the UKMAS Workshop on Foundations and Applications of Multi-Agent Systems
A Policy Language for the Management of Distributed Agents
AOSE '01 Revised Papers and Invited Contributions from the Second International Workshop on Agent-Oriented Software Engineering II
Identifying Opportunities and Constraints for Goal Achievement through Relationship Analysis
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Trust evaluation through relationship analysis
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
An e-market framework to determine the strength of business relationships between intelligent agents
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
On modelling multi-agent systems declaratively
DALT'04 Proceedings of the Second international conference on Declarative Agent Languages and Technologies
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Multi-agent systems result from interactions between individual agents. Through these interactions different kinds of relationships are formed, which can impact substantially on the overall system performance. However, the behaviour of agents cannot always be anticipated, especially when dealing with open and complex systems. Open agent systems must incorporate relationship management mechanisms to constrain agent actions and allow only desirable interactions. In consequence, in this paper we tackle two important issues. Firstly, in addressing management, we identify the range of different control mechanisms that are required and when they should be applied. Secondly, in addressing relationships, we present a model for identifying and characterising relationships in a manner that is application-neutral and amenable to automation.