Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Collaborative plans for complex group action
Artificial Intelligence
Designing a family of coordination algorithms
Readings in agents
Journal of Artificial Intelligence Research
Leading ad hoc agents in joint action settings with multiple teammates
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Ad hoc teamwork for leading a flock
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Teaching and leading an ad hoc teammate: Collaboration without pre-coordination
Artificial Intelligence
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Designing agents that can cooperate with other agents as a team, without prior coordination or explicit communication, is becoming more desirable as autonomous agents become more prevalent. In this paper we examine an aspect of the problem of leading teammates in an ad hoc team-work setting, where the designed ad hoc agents lead the other teammates to a desired behavior that maximizes team utility. Specifically, we consider the problem of leading a flock of agents to a desired orientation using a subset of ad hoc agents. We examine the problem theoretically, and set bounds on the extent of influence the ad hoc agents can have on the team when the agents are stationary. We use these results to examine the complicated problem of orienting a stationary team to a desired orientation using a set of non-stationary ad hoc agents. We then provide an empirical evaluation of the suggested solution using our custom-designed simulator FlockSim.