Folk Psychology for Human Modelling: Extending the BDI Paradigm
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
A Flexible BDI Architecture Supporting Extensibility
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Reactive reasoning and planning
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
Using joint responsibility to coordinate collaborative problem solving in dynamic environments
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Coordination of Temporal Plans for the Reactive and Proactive Goals
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Representing long-term and interest BDI goals
ProMAS'09 Proceedings of the 7th international conference on Programming multi-agent systems
Goal representation for BDI agent systems
ProMAS'04 Proceedings of the Second international conference on Programming Multi-Agent Systems
A goal deliberation strategy for BDI agent systems
MATES'05 Proceedings of the Third German conference on Multiagent System Technologies
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The BDI model is concerned with the rational action of an individual agent. At the multi-agent layer especially coordination among agents is an important factor that determines how overall system goals can be accomplished. Thus, from a software engineering perspective it is desirable to extend the BDI programming model to the multi-agent layer and make BDI concepts also useable for coordination among agents. A severe problem with existing approaches that tried to follow this path e.g. by proposing a BDI teamwork model is that they violate the OCMAS principles stating that no assumptions on agent architectures should be made on the multi-agent level. If OCMAS principles are violated the kinds of agents that can participate in coordination is limited ab initio to a specific sort such as BDI. In this paper we propose a new goal delegation mechanism that allows for both. On the one hand, BDI agents can delegate their normal goals to other agents and on the other hand these goals are not represented explicitly on the multi-agent level so that also non-BDI agents can act as receivers and help accomplishing a goal.