Intention is choice with commitment
Artificial Intelligence
Artificial Intelligence
HTN planning: complexity and expressivity
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Collaborative plans for complex group action
Artificial Intelligence
Coloured Petri nets: basic concepts, analysis methods and practical use, volume 3
Coloured Petri nets: basic concepts, analysis methods and practical use, volume 3
From Coloured Petri Nets to Object Petri Nets
Proceedings of the 16th International Conference on Application and Theory of Petri Nets
Hierarchies in coloured Petri nets
Proceedings of the 10th International Conference on Applications and Theory of Petri Nets: Advances in Petri Nets 1990
Towards a Modular Analysis of Coloured Petri Nets
Proceedings of the 13th International Conference on Application and Theory of Petri Nets
Modelling, Control and Validation of Multi-Agent Plans in Dynamic Context
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Local replanning in a team of cooperative agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Journal of Artificial Intelligence Research
Local replanning in a team of cooperative agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Towards alternative approaches to reasoning about goals
DALT'07 Proceedings of the 5th international conference on Declarative agent languages and technologies V
EXHOST-PIPE: PIPE extended for two classes of monitoring Petri nets
ICATPN'06 Proceedings of the 27th international conference on Applications and Theory of Petri Nets and Other Models of Concurrency
A colored petri net model to represent the interactions between a set of cooperative agents
AP2PC'08 Proceedings of the 7th international conference on Agents and Peer-to-Peer Computing
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This paper focuses on a framework for representing a team plan and its projections on individual agents. The team plan is represented with a coloured Petri net. Using the implicit place reduction rule an agenticity hierarchy is deduced: each transition bearing two or more output places corresponds to splitting the (sub)team into (sub)subteams; a two-input-place transition merges subteams. The reduction rule is extended to support the notion of transfer of an agent from one subteam to another. These notions of splitting, merging and transfer are basic team management structures which describe the dynamic team hierarchical organisation. At each level of agenticity a plan is derived from the team plan reduction. Controlling an agent individually requires extracting individual information, such as activities involving the agent as well as interacting agents or subteams at each level of agenticity. The agent-projected plan encompasses for each level of agenticity an activity plan and a list of cooperating agents or subteams.