Results for "collective agents"
Agents optimize collective outcomes.
Collective behavior without central control.
Multiple agents interacting cooperatively or competitively.
Distributed agents producing emergent intelligence.
Emergence of conventions among agents.
Coordination arising without explicit programming.
Agents copy others’ actions.
Agents fail to coordinate optimally.
Designing systems where rational agents behave as desired.
System-level behavior arising from interactions.
Early signals disproportionately influence outcomes.
Extending agents with long-term memory stores.
System that independently pursues goals over time.
Decomposing goals into sub-tasks.
Simple agent responding directly to inputs.
Agents communicate via shared state.
Tendency for agents to pursue resources regardless of final goal.
Competition arises without explicit design.
AI tacitly coordinating prices.
Some agents know more than others.
Designing AI to cooperate with humans and each other.
No agent can improve without hurting another.
A system that perceives state, selects actions, and pursues goals—often combining LLM reasoning with tools and memory.
Artificial environment for training/testing agents.
A broader capability to infer internal system state from telemetry, crucial for AI services and agents.
Agent calls external tools dynamically.
Interleaving reasoning and tool use.
Agent reasoning about future outcomes.
AI systems that perceive and act in the physical world through sensors and actuators.
Agents have opposing objectives.