Why interaction is more powerful than algorithms
Communications of the ACM
Refinement in Z and object-Z: foundations and advanced applications
Refinement in Z and object-Z: foundations and advanced applications
Assume-Guarantee Refinement Between Different Time Scales
CAV '99 Proceedings of the 11th International Conference on Computer Aided Verification
Challenges and Research Directions in Agent-Oriented Software Engineering
Autonomous Agents and Multi-Agent Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
ICECCS '06 Proceedings of the 11th IEEE International Conference on Engineering of Complex Computer Systems
Software-Intensive Systems and New Computing Paradigms
Ensemble Engineering and Emergence
Software-Intensive Systems and New Computing Paradigms
Electronic Notes in Theoretical Computer Science (ENTCS)
A formal framework for compositional verification of organic computing systems
ATC'10 Proceedings of the 7th international conference on Autonomic and trusted computing
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Attempts to engineer autonomic multi-agent systems, particularly those having large numbers of agents, have revealed the need for design structures and formalisms to support the construction of properties that emerge at the system level. Such emergence, like self-*** behaviour, relies typically on intricate inter-agent interactions. This paper shows how the top-down incremental approach of Formal Methods can be used satisfactorily in that situation, by considering a case study in which agents adapt and autonomously achieve a given configuration.