Statecharts: A visual formalism for complex systems
Science of Computer Programming
Intention is choice with commitment
Artificial Intelligence
Epistemic Logic for AI and Computer Science
Epistemic Logic for AI and Computer Science
Autonomous Agents and Multi-Agent Systems
Knowledge Representation and Unmanned Aerial Vehicles
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Control System Framework for Autonomous Robots Based on Extended State Machines
ICAS '06 Proceedings of the International Conference on Autonomic and Autonomous Systems
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Practical extensions in agent programming languages
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
The human in the loop of a delegated agent: the theory of adjustable social autonomy
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A delegation-based architecture for collaborative robotics
AOSE'10 Proceedings of the 11th international conference on Agent-oriented software engineering
A distributed task specification language for mixed-initiative delegation
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Complex task allocation in mixed-initiative delegation: a UAV case study
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
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The concept of delegation is central to an understanding of the interactions between agents in cooperative agent problem-solving contexts. In fact, the concept of delegation offers a means for studying the formal connections between mixed-initiative problem-solving, adjustable autonomy and cooperative agent goal achievement. In this paper, we present an exploratory study of the delegation concept grounded in the context of a relatively complex multi-platform Unmanned Aerial Vehicle (UAV) catastrophe assistance scenario, where UAVs must cooperatively scan a geographic region for injured persons. We first present the scenario as a case study, showing how it is instantiated with actual UAV platforms and what a real mission implies in terms of pragmatics. We then take a step back and present a formal theory of delegation based on the use of 2APL and KARO. We then return to the scenario and use the new theory of delegation to formally specify many of the communicative interactions related to delegation used in achieving the goal of cooperative UAV scanning. The development of theory and its empirical evaluation is integrated from the start in order to ensure that the gap between this evolving theory of delegation and its actual use remains closely synchronized as the research progresses. The results presented here may be considered a first iteration of the theory and ideas.