Adaptive decision-making frameworks for dynamic multi-agent organizational change

@article{Martin2006AdaptiveDF,
  title={Adaptive decision-making frameworks for dynamic multi-agent organizational change},
  author={Cheryl E. Martin and K. Suzanne Barber},
  journal={Autonomous Agents and Multi-Agent Systems},
  year={2006},
  volume={13},
  pages={391-428}
}
This article presents a capability called Adaptive Decision-Making Frameworks (ADMF) and shows that it can result in significantly improved system performance across run-time situation changes in a multi-agent system. Specifically, ADMF can result in improved and more robust performance compared to the use of a single static decision-making framework (DMF). The ADMF capability allows agents to dynamically adapt the DMF in which they participate to fit their run-time situation as it changes. A… CONTINUE READING
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Adaptive decision-making frameworks for multi-agent systems. University of Texas at Austin, Austin, TX PhD Dissertation

  • C. E. Martin
  • 2001
Highly Influential
5 Excerpts

Designing organizations for computational agents

  • So, Y.-P, E. H. Durfee
  • 1998
Highly Influential
9 Excerpts

The Motivation for dynamic decision-making frameworks in multi-agent systems

  • K. S. Barber, C. E. Martin
  • Agent engineering (pp. 59–91). Singapore: World…
  • 2001
1 Excerpt

Adjustable control autonomy for manned space flight

  • D. Kortenkamp, D. Keirn-Schreckenghost, R. P. Bonasso
  • In Proceedings of the IEEE aerospace conference…
  • 2000
1 Excerpt

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