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ATAL
2008
Springer

RIAACT: a robust approach to adjustable autonomy for human-multiagent teams

8 years 4 months ago
RIAACT: a robust approach to adjustable autonomy for human-multiagent teams
When human-multiagent teams act in real-time uncertain domains, adjustable autonomy (dynamic transferring of decisions between human and agents) raises three key challenges. First, the human and agents may differ significantly in their worldviews, leading to inconsistencies in their decisions. Second, these human-multiagent teams must operate and plan in real-time with deadlines with uncertain duration of human actions. Thirdly, adjustable autonomy in teams is an inherently distributed and complex problem that cannot be solved optimally and completely online. To address these challenges, our paper presents a solution for Resolving Inconsistencies in Adjustable Autonomy in Continuous Time (RIAACT). RIAACT incorporates models of the resolution of inconsistencies, continuous time planning techniques, and hybrid method to address coordination complexity. These contributions have been realized in a disaster response simulation system.
Nathan Schurr, Janusz Marecki, Milind Tambe
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where ATAL
Authors Nathan Schurr, Janusz Marecki, Milind Tambe
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