Towards a general theory of action and time
Artificial Intelligence
A predicate-transition net model for multiple agent planning
Information Sciences: an International Journal - Special issue on information sciences—past, present, and future
Coordination languages and their significance
Communications of the ACM
Artificial Intelligence
Coordination models and languages as software integrators
ACM Computing Surveys (CSUR)
Coordination techniques for distributed artificial intelligence
Foundations of distributed artificial intelligence
Policies and roles in collaborative applications
CSCW '96 Proceedings of the 1996 ACM conference on Computer supported cooperative work
Distributed problem solving and planning
Multiagent systems
An agent-based approach for building complex software systems
Communications of the ACM
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Multi-Agent-Systems Based on Coloured Petri Nets
ICATPN '97 Proceedings of the 18th International Conference on Application and Theory of Petri Nets
Modelling and Design of Multi-Agent Systems
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Protocol Moderators as Active Middle-Agents in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
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Applying coordination mechanisms to handle interdependencies that exist between agents in multi-agent systems (MASs), is an important issue. In this paper, two levels MAS modeling scheme and a language to describe a MAS plan based on interdependencies between agents' plans are proposed. Initially a generic study of possible interdependencies between agents in MASs is presented, followed by the formal modeling (using Colored Petri Nets) of coordination mechanisms for those dependencies. These mechanisms control the dependencies between agents to avoid unsafe interactions where individual agents' plans are merged into a global multi-agent plan. This separation, managed by the coordination mechanisms, offers more powerful modularity in MASs modeling.