Title :
Using ODML to model multi-agent organizations
Author :
Horling, Bryan ; Lesser, Victor
Author_Institution :
Massachusetts Univ., Amherst, MA, USA
Abstract :
In this paper, we introduce a domain-independent organizational design representation able to model and predict the quantitative performance characteristics of agent organizations. This representation, capable of capturing a wide range of multi-agent behaviors, can support the selection of an appropriate design given a particular operational context. We demonstrate the capabilities and efficacy of this language by comparing a range of predicted metrics to empirical results from a real-world system.
Keywords :
multi-agent systems; ontologies (artificial intelligence); ODML; multiagent behavior; multiagent organization; organizational design; Collaboration; Decision making; Electrical capacitance tomography; Humans; Multiagent systems; Position measurement; Predictive models; Sensor arrays; Sensor systems; Target tracking;
Conference_Titel :
Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2416-8
DOI :
10.1109/IAT.2005.139