AI Termcirca 1995· Added Jun 13, 2026
Agent Negotiation
Agent negotiation involves AI agents engaging in dialogues to reach agreements or resolve conflicts.
In multi-agent systems, agent negotiation refers to the process where AI agents communicate to reach a consensus or resolve differences. These negotiations can involve resource allocation, task assignments, or conflict resolution. Techniques like game theory, multi-attribute utility theory, and heuristic methods are often used to structure these interactions. Effective negotiation strategies enable agents to work collaboratively, even when their objectives differ, ensuring optimal outcomes for the system as a whole.
Examples
- AI agents negotiating resource allocation in a distributed computing network.
- Autonomous vehicles coordinating at an intersection to avoid collisions.
- Virtual assistants discussing task priorities in a shared workspace.
Common misconceptions
- Agent negotiation only applies to human-AI interaction.
- All negotiations lead to a win-win outcome.
- Negotiation requires high computing power.
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