@conference {1509423,
	title = {Asimovian Multiagents: Applying Laws of Robotics to Teams of Humans and Agents },
	booktitle = {WORKSHOP on programming multiagent systems},
	year = {2006},
	abstract = {In the March 1942 issue of {\textquotedblleft}Astounding Science Fiction{\textquotedblright},
Isaac Asimov for the first time enumerated his three laws of robotics.
Decades later, researchers in agents and multiagent systems have begun to examine these laws for providing a useful set of guarantees on
deployed agent systems. Motivated by unexpected failures or behavior
degradations in complex mixed agent-human teams, this paper for the
first time focuses on applying Asimov{\textquoteright}s first two laws to provide behavioral guarantees in such teams. However, operationalizing these laws
in the context of such mixed agent-human teams raises three novel issues. First, while the laws were originally written for interaction of an
individual robot and an individual human, clearly, our systems must
operate in a team context. Second, key notions in these laws (e.g. causing {\textquotedblleft}harm{\textquotedblright} to humans) are specified in very abstract terms and must be
specified in concrete terms in implemented systems. Third, since removed
from science-fiction, agents or humans may not have perfect information
about the world, they must act based on these laws despite uncertainty
of information. Addressing this uncertainty is a key thrust of this paper,
and we illustrate that agents must detect and overcome such states of
uncertainty while ensuring adherence to Asimov{\textquoteright}s laws. We illustrate the
results of two different domains that each have different approaches to
operationalizing Asimov{\textquoteright}s laws.},
	author = {Nathan Schurr and Varakantham, Pradeep and Bowring, Emma and Tambe, Milind and Grosz, Barbara}
}
