Planning for conjunctive goals
Artificial Intelligence
Exploiting constraints in design synthesis
Exploiting constraints in design synthesis
Negotiation in a non-cooperative environment
Journal of Experimental & Theoretical Artificial Intelligence
Cognition, computing, and cooperation
An efficiently computable metric for comparing polygonal shapes
SODA '90 Proceedings of the first annual ACM-SIAM symposium on Discrete algorithms
Coordination of Distributed Problem Solvers
Coordination of Distributed Problem Solvers
Using partial global plans to coordinate distributed problem solvers
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Incomplete information and deception in multi-agent negotiation
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Hi-index | 0.00 |
In this paper we analyze a particular model of control among intelligent agents, that of nonabsolute control. Non-absolute control involves a "supervisor" agent that issues orders to a "subordinate" agent. An example might be a human agent on Earth directing the activities of a Mars-based semi-autonomous vehicle. Both agents operate with essentially the same goals. The subordinate agent, however, is assumed to have access to some information that the supervisor does not have. The agent is thus expected to exercise its judgment in following orders (i.e., following the true intent of the supervisor, to the best of its ability). After presenting our model, we discuss the planning problem: how would a subordinate agent choose among alternative plans? Our solutions focus on evaluating the distance between candidate plans.