Adjustable autonomy in real-world multi-agent environments

Through adjustable autonomy (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit human abilities to improve its performance, but without becoming overly dependent and intrusive in its human interaction. AA research is critical for successful deployment of multi-agent systems in support of important human activities. While most previous AA work has focused on individual agent-human interactions, this paper focuses on teams of agents operating in real-world human organizations. The need for agent teamwork and coordination in such environments introduces novel AA challenges. First, agents must be more judicious in asking for human intervention, because, although human input can prevent erroneous actions that have high team costs, one agent’s inaction while waiting for a human response can lead to potential miscoordination with the other agents in the team. Second, despite appropriate local decisions by individual agents, the overall team ...

• Type: Conference
• Year: 2001
• Where: AGENTS
• Authors: Paul Scerri, David V. Pynadath, Milind Tambe
• Keywords: AGENTS 2001, Human, Human Organization, Real-world Human Organizations, Security Privacy