Why the elf acted autonomously: towards a theory of adjustable autonomy

@inproceedings{Scerri2002WhyTE,
  title={Why the elf acted autonomously: towards a theory of adjustable autonomy},
  author={P. Scerri and David V. Pynadath and Milind Tambe},
  booktitle={AAMAS '02},
  year={2002}
}
Adjustable autonomy refers to agents' dynamically varying their own autonomy, transferring decision making control to other entities (typically human users) in key situations. Determining whether and when such transfer of control must occur is arguably the fundamental research question in adjustable autonomy. Practical systems have made significant in roads in answering this question and in providing high-level guidelines for transfer of control decisions. For instance, [11] report that Markov… Expand
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References

SHOWING 1-10 OF 24 REFERENCES
Adjustable autonomy in real-world multi-agent environments
TLDR
This work addresses the need for agent teamwork and coordination in real-world human organizations using a multi-agent AA framework based on an adaptive model of users (and teams) that reasons about the uncertainty, costs, and constraints of decisions at {\em all} levels of the team hierarchy. Expand
Planning for Contingencies: A Decision-based Approach
TLDR
The explicit representation of decisions in Cassandra allows a coherent approach to the problems of contingent planning, and provides a solid base for extensions such as the use of diffierent decision-making procedures. Expand
Principles of Metareasoning
TLDR
This research contributes to a developing attack on the problem of resource-bounded rationality, by providing a means for analyzing and generating optimal computational strategies. Expand
A utility-based theory of initiative in mixed-initiative systems
In this paper, we present a utility-based decision making process to be used by a system in determining when to take the initiative to interact with a user, in a mixed-initiative artificialExpand
Electric Elves: Applying Agent Technology to Support Human Organizations
TLDR
The underlying AI technologies that led to the success of Electric Elves are discussed, including technologies devoted to agenthuman interactions, agent coordination, accessing multiple heterogeneous information sources, dynamic assignment of organizational tasks, and deriving information about organization members. Expand
Experiments in adjustable autonomy
  • J. Crandall, M. A. Goodrich
  • Computer Science
  • 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236)
  • 2001
TLDR
This work designs a human-robot system with adjustable autonomy that grants the human meta-level control over the level of robot autonomy, but allows the robot a varying amount of self-direction with each level. Expand
Using Anytime Algorithms in Intelligent Systems
TLDR
A wide range of existing solutions to the metalevel control problem are outlined and current work that is aimed at increasing the applicability of anytime computation is described. Expand
Programs for Machine Learning. Part I
TLDR
A proposed schema and some detailed specifications for constructing a learning system by means of programming a computer are given, trying to separate learning processes and problem-solving techniques from specific problem content in order to achieve generality. Expand
A Cognitive Model of Situated Autonomy
TLDR
The cognitive ingredients of situated autonomy are discussed and a degree ofLocated autonomy is derived and it is presented as part of the process of action selection. Expand
C4.5: Programs for Machine Learning
TLDR
A complete guide to the C4.5 system as implemented in C for the UNIX environment, which starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting. Expand
...
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